From 8cef2059546ab2676860a3f66092d3a4a3b0ec28 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Tue, 6 Feb 2024 10:04:00 +0000
Subject: [PATCH] Deploy dev from 89024af

---
 dev/.buildinfo                                |     2 +-
 .../linear_gridder.ipynb                      |    15 +-
 .../trends.ipynb                              |    13 +-
 .../distance_mask.ipynb                       |    13 +-
 .../model_selection.ipynb                     |    15 +-
 .../decimation.ipynb                          |    13 +-
 .../trend.ipynb                               |    13 +-
 .../model_evaluation.ipynb                    |    19 +-
 .../convex_hull_mask.ipynb                    |    13 +-
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 .../checkerboard.ipynb                        |    13 +-
 .../project_grid.ipynb                        |    15 +-
 .../spline_cv.ipynb                           |    13 +-
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 .../spline.ipynb                              |    13 +-
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 .../vectors.ipynb                             |    13 +-
 .../vector_uncoupled.ipynb                    |    15 +-
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 472 files changed, 68750 insertions(+), 116353 deletions(-)
 rename dev/_sources/api/generated/{verde.BlockKFold.rst.txt => verde.BlockKFold.rst} (82%)
 rename dev/_sources/api/generated/{verde.BlockMean.rst.txt => verde.BlockMean.rst} (81%)
 rename dev/_sources/api/generated/{verde.BlockReduce.rst.txt => verde.BlockReduce.rst} (81%)
 rename dev/_sources/api/generated/{verde.BlockShuffleSplit.rst.txt => verde.BlockShuffleSplit.rst} (81%)
 rename dev/_sources/api/generated/{verde.Chain.rst.txt => verde.Chain.rst} (73%)
 rename dev/_sources/api/generated/{verde.Cubic.rst.txt => verde.Cubic.rst} (73%)
 rename dev/_sources/api/generated/{verde.KNeighbors.rst.txt => verde.KNeighbors.rst} (73%)
 rename dev/_sources/api/generated/{verde.Linear.rst.txt => verde.Linear.rst} (73%)
 rename dev/_sources/api/generated/{verde.ScipyGridder.rst.txt => verde.ScipyGridder.rst} (73%)
 rename dev/_sources/api/generated/{verde.Spline.rst.txt => verde.Spline.rst} (74%)
 rename dev/_sources/api/generated/{verde.SplineCV.rst.txt => verde.SplineCV.rst} (74%)
 rename dev/_sources/api/generated/{verde.Trend.rst.txt => verde.Trend.rst} (74%)
 rename dev/_sources/api/generated/{verde.Vector.rst.txt => verde.Vector.rst} (73%)
 rename dev/_sources/api/generated/{verde.VectorSpline2D.rst.txt => verde.VectorSpline2D.rst} (74%)
 rename dev/_sources/api/generated/{verde.base.BaseBlockCrossValidator.rst.txt => verde.base.BaseBlockCrossValidator.rst} (81%)
 rename dev/_sources/api/generated/{verde.base.BaseGridder.rst.txt => verde.base.BaseGridder.rst} (73%)
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 rename dev/_sources/api/generated/{verde.base.n_1d_arrays.rst.txt => verde.base.n_1d_arrays.rst} (100%)
 rename dev/_sources/api/generated/{verde.block_split.rst.txt => verde.block_split.rst} (100%)
 rename dev/_sources/api/generated/{verde.convexhull_mask.rst.txt => verde.convexhull_mask.rst} (100%)
 rename dev/_sources/api/generated/{verde.cross_val_score.rst.txt => verde.cross_val_score.rst} (100%)
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 rename dev/_sources/api/generated/{verde.datasets.fetch_rio_magnetic.rst.txt => verde.datasets.fetch_rio_magnetic.rst} (100%)
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 rename dev/_sources/api/generated/{verde.distance_mask.rst.txt => verde.distance_mask.rst} (100%)
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 rename dev/_sources/api/generated/{verde.grid_to_table.rst.txt => verde.grid_to_table.rst} (100%)
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 rename dev/_sources/api/generated/{verde.line_coordinates.rst.txt => verde.line_coordinates.rst} (100%)
 rename dev/_sources/api/generated/{verde.load_surfer.rst.txt => verde.load_surfer.rst} (100%)
 rename dev/_sources/api/generated/{verde.make_xarray_grid.rst.txt => verde.make_xarray_grid.rst} (100%)
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 delete mode 100644 dev/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff
 delete mode 100644 dev/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff2
 delete mode 100644 dev/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.eot
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 delete mode 100644 dev/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff
 delete mode 100644 dev/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2
 create mode 100644 dev/_static/vendor/fontawesome/6.5.1/LICENSE.txt
 create mode 100644 dev/_static/vendor/fontawesome/6.5.1/css/all.min.css
 create mode 100644 dev/_static/vendor/fontawesome/6.5.1/js/all.min.js
 create mode 100644 dev/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
 create mode 100644 dev/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.ttf
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 create mode 100644 dev/sg_execution_times.html

diff --git a/dev/.buildinfo b/dev/.buildinfo
index 21df7b246..015f43425 100644
--- a/dev/.buildinfo
+++ b/dev/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 18603f67385e4801d6d6316f8363f5ec
+config: b4f0410e636063c13cfb7aacffde9565
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/dev/_downloads/03d4f2871f2886a1c2bc97f18bce2c4a/linear_gridder.ipynb b/dev/_downloads/03d4f2871f2886a1c2bc97f18bce2c4a/linear_gridder.ipynb
index 0f524f75d..93a6d1b5f 100644
--- a/dev/_downloads/03d4f2871f2886a1c2bc97f18bce2c4a/linear_gridder.ipynb
+++ b/dev/_downloads/03d4f2871f2886a1c2bc97f18bce2c4a/linear_gridder.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Gridding with a linear interpolator\n\nVerde offers the :class:`verde.Linear` class for piecewise linear gridding.\nIt uses :class:`scipy.interpolate.LinearNDInterpolator` under the hood while\noffering the convenience of Verde's gridder API.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use `pyproj <https://github.com/jswhit/pyproj>`__ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.Linear.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
+        "\n# Gridding with a linear interpolator\n\nVerde offers the :class:`verde.Linear` class for piecewise linear gridding.\nIt uses :class:`scipy.interpolate.LinearNDInterpolator` under the hood while\noffering the convenience of Verde's gridder API.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use [pyproj](https://github.com/jswhit/pyproj)_ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.Linear.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
       ]
     },
     {
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/053858a0efcae8d25a42f2bcf81f25e4/trends.ipynb b/dev/_downloads/053858a0efcae8d25a42f2bcf81f25e4/trends.ipynb
index 9011999e5..d6f9c3b61 100644
--- a/dev/_downloads/053858a0efcae8d25a42f2bcf81f25e4/trends.ipynb
+++ b/dev/_downloads/053858a0efcae8d25a42f2bcf81f25e4/trends.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -125,7 +114,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/0ecb780bdd79a75e89aa13f5b057df28/distance_mask.ipynb b/dev/_downloads/0ecb780bdd79a75e89aa13f5b057df28/distance_mask.ipynb
index 6436d4d05..b6a147f6d 100644
--- a/dev/_downloads/0ecb780bdd79a75e89aa13f5b057df28/distance_mask.ipynb
+++ b/dev/_downloads/0ecb780bdd79a75e89aa13f5b057df28/distance_mask.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/1595fb684603e36c044b077f6b56bcd3/model_selection.ipynb b/dev/_downloads/1595fb684603e36c044b077f6b56bcd3/model_selection.ipynb
index 6c31bd022..f55d59f05 100644
--- a/dev/_downloads/1595fb684603e36c044b077f6b56bcd3/model_selection.ipynb
+++ b/dev/_downloads/1595fb684603e36c044b077f6b56bcd3/model_selection.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -184,7 +173,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Like :func:`verde.cross_val_score`, :class:`~verde.SplineCV` can also run the\ngrid search in parallel using `Dask <https://dask.org/>`__ by specifying the\n``delayed`` attribute:\n\n"
+        "Like :func:`verde.cross_val_score`, :class:`~verde.SplineCV` can also run the\ngrid search in parallel using [Dask](https://dask.org/)_ by specifying the\n``delayed`` attribute:\n\n"
       ]
     },
     {
@@ -301,7 +290,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/16745cb398e8d7436b94804865fe1fac/decimation.ipynb b/dev/_downloads/16745cb398e8d7436b94804865fe1fac/decimation.ipynb
index 099e08163..496117848 100644
--- a/dev/_downloads/16745cb398e8d7436b94804865fe1fac/decimation.ipynb
+++ b/dev/_downloads/16745cb398e8d7436b94804865fe1fac/decimation.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -125,7 +114,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/2070872514282930d7a0cb271e43740d/trend.ipynb b/dev/_downloads/2070872514282930d7a0cb271e43740d/trend.ipynb
index 2f8453d99..f6fbfb806 100644
--- a/dev/_downloads/2070872514282930d7a0cb271e43740d/trend.ipynb
+++ b/dev/_downloads/2070872514282930d7a0cb271e43740d/trend.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/20ccfb7485becea704ca8ee5aae7ae9f/model_evaluation.ipynb b/dev/_downloads/20ccfb7485becea704ca8ee5aae7ae9f/model_evaluation.ipynb
index 474ccfc4a..e3af92607 100644
--- a/dev/_downloads/20ccfb7485becea704ca8ee5aae7ae9f/model_evaluation.ipynb
+++ b/dev/_downloads/20ccfb7485becea704ca8ee5aae7ae9f/model_evaluation.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -152,7 +141,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Scoring\n\nGridders in Verde implement the :meth:`~verde.base.BaseGridder.score` method\nthat calculates the `R\u00b2 coefficient of determination\n<https://en.wikipedia.org/wiki/Coefficient_of_determination>`__ for a given\ncomparison dataset (``test`` in our case). The R\u00b2 score is at most 1, meaning\na perfect prediction, but has no lower bound.\n\n"
+        "## Scoring\n\nGridders in Verde implement the :meth:`~verde.base.BaseGridder.score` method\nthat calculates the [R\u00b2 coefficient of determination](https://en.wikipedia.org/wiki/Coefficient_of_determination)_ for a given\ncomparison dataset (``test`` in our case). The R\u00b2 score is at most 1, meaning\na perfect prediction, but has no lower bound.\n\n"
       ]
     },
     {
@@ -188,7 +177,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Cross-validation\n\nA more robust way of scoring the gridders is to use function\n:func:`verde.cross_val_score`, which (by default) uses a `k-fold\ncross-validation\n<https://en.wikipedia.org/wiki/Cross-validation_(statistics)#k-fold_cross-validation>`__\nby default. It will split the data *k* times and return the score on each\n*fold*. We can then take a mean of these scores.\n\n"
+        "## Cross-validation\n\nA more robust way of scoring the gridders is to use function\n:func:`verde.cross_val_score`, which (by default) uses a [k-fold\ncross-validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics)#k-fold_cross-validation)_\nby default. It will split the data *k* times and return the score on each\n*fold*. We can then take a mean of these scores.\n\n"
       ]
     },
     {
@@ -224,7 +213,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Parallel cross-validation\n\nCross-validation involves running several model fit and score operations\nwhich are independent of each other. Because of this, they are prime targets\nfor parallelization. Verde uses the excellent `Dask <https://dask.org/>`__\nlibrary for parallel execution.\n\nTo run :func:`verde.cross_val_score` with Dask, use the ``delayed`` argument:\n\n"
+        "## Parallel cross-validation\n\nCross-validation involves running several model fit and score operations\nwhich are independent of each other. Because of this, they are prime targets\nfor parallelization. Verde uses the excellent [Dask](https://dask.org/)_\nlibrary for parallel execution.\n\nTo run :func:`verde.cross_val_score` with Dask, use the ``delayed`` argument:\n\n"
       ]
     },
     {
@@ -305,7 +294,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/21b786417a2cadc7218662660c3dfac8/convex_hull_mask.ipynb b/dev/_downloads/21b786417a2cadc7218662660c3dfac8/convex_hull_mask.ipynb
index 98a5d08e3..233b6426b 100644
--- a/dev/_downloads/21b786417a2cadc7218662660c3dfac8/convex_hull_mask.ipynb
+++ b/dev/_downloads/21b786417a2cadc7218662660c3dfac8/convex_hull_mask.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/254ff2dc2633890de3bb07e412fe965b/chain.ipynb b/dev/_downloads/254ff2dc2633890de3bb07e412fe965b/chain.ipynb
index 6f9152995..8ce4b63c2 100644
--- a/dev/_downloads/254ff2dc2633890de3bb07e412fe965b/chain.ipynb
+++ b/dev/_downloads/254ff2dc2633890de3bb07e412fe965b/chain.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -183,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/30b9d07a4e99de5861ab9cbccdb2b927/train_test_split.ipynb b/dev/_downloads/30b9d07a4e99de5861ab9cbccdb2b927/train_test_split.ipynb
index 428b08773..73e5001c6 100644
--- a/dev/_downloads/30b9d07a4e99de5861ab9cbccdb2b927/train_test_split.ipynb
+++ b/dev/_downloads/30b9d07a4e99de5861ab9cbccdb2b927/train_test_split.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/33f59e3a2c271ac75bda1223ac7b1d53/checkerboard.ipynb b/dev/_downloads/33f59e3a2c271ac75bda1223ac7b1d53/checkerboard.ipynb
index 00134b497..eeb935aee 100644
--- a/dev/_downloads/33f59e3a2c271ac75bda1223ac7b1d53/checkerboard.ipynb
+++ b/dev/_downloads/33f59e3a2c271ac75bda1223ac7b1d53/checkerboard.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/3f9cd881acef1c5744bb9eb0dfb560db/project_grid.ipynb b/dev/_downloads/3f9cd881acef1c5744bb9eb0dfb560db/project_grid.ipynb
index 812ba811a..517e078f7 100644
--- a/dev/_downloads/3f9cd881acef1c5744bb9eb0dfb560db/project_grid.ipynb
+++ b/dev/_downloads/3f9cd881acef1c5744bb9eb0dfb560db/project_grid.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Projection of gridded data\n\nSometimes gridded data products need to be projected before they can be used.\nFor example, you might want to project the topography of Antarctica from\ngeographic latitude and longitude to a planar polar stereographic projection\nbefore doing your analysis. When projecting, the data points will likely not\nfall on a regular grid anymore and must be interpolated (re-sampled) onto a new\ngrid.\n\nThe :func:`verde.project_grid` function automates this process using the\ninterpolation methods available in Verde. An input grid\n(:class:`xarray.DataArray`) is interpolated onto a new grid in the given\n`pyproj <https://jswhit.github.io/pyproj/>`__ projection. The function takes\ncare of choosing a default grid spacing and region, running a blocked mean to\navoid spatial aliasing (using :class:`~verde.BlockReduce`), and masking the\npoints in the new grid that aren't constrained by the original data (using\n:func:`~verde.convexhull_mask`).\n\nIn this example, we'll generate a synthetic geographic grid with a checkerboard\npattern around the South pole. We'll project the grid to South Polar\nStereographic, revealing the checkered pattern of the data.\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>The interpolation methods are limited to what is available in Verde and\n    there is only support for single 2D grids. For more sophisticated use\n    cases, you might want to try\n    `pyresample <https://github.com/pytroll/pyresample>`__ instead.</p></div>\n"
+        "\n# Projection of gridded data\n\nSometimes gridded data products need to be projected before they can be used.\nFor example, you might want to project the topography of Antarctica from\ngeographic latitude and longitude to a planar polar stereographic projection\nbefore doing your analysis. When projecting, the data points will likely not\nfall on a regular grid anymore and must be interpolated (re-sampled) onto a new\ngrid.\n\nThe :func:`verde.project_grid` function automates this process using the\ninterpolation methods available in Verde. An input grid\n(:class:`xarray.DataArray`) is interpolated onto a new grid in the given\n[pyproj](https://jswhit.github.io/pyproj/)_ projection. The function takes\ncare of choosing a default grid spacing and region, running a blocked mean to\navoid spatial aliasing (using :class:`~verde.BlockReduce`), and masking the\npoints in the new grid that aren't constrained by the original data (using\n:func:`~verde.convexhull_mask`).\n\nIn this example, we'll generate a synthetic geographic grid with a checkerboard\npattern around the South pole. We'll project the grid to South Polar\nStereographic, revealing the checkered pattern of the data.\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>The interpolation methods are limited to what is available in Verde and\n    there is only support for single 2D grids. For more sophisticated use\n    cases, you might want to try\n    [pyresample](https://github.com/pytroll/pyresample)_ instead.</p></div>\n"
       ]
     },
     {
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/4a53c1d8896e7e40f82d2db771321b55/spline_cv.ipynb b/dev/_downloads/4a53c1d8896e7e40f82d2db771321b55/spline_cv.ipynb
index 4d3f464b5..10dd5effe 100644
--- a/dev/_downloads/4a53c1d8896e7e40f82d2db771321b55/spline_cv.ipynb
+++ b/dev/_downloads/4a53c1d8896e7e40f82d2db771321b55/spline_cv.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/4ac16ddf039c43285d5fed04b3dede96/overview.ipynb b/dev/_downloads/4ac16ddf039c43285d5fed04b3dede96/overview.ipynb
index 09174a02a..ce3d94b0a 100644
--- a/dev/_downloads/4ac16ddf039c43285d5fed04b3dede96/overview.ipynb
+++ b/dev/_downloads/4ac16ddf039c43285d5fed04b3dede96/overview.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -33,7 +22,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n## The gridder interface\n\nAll gridding and trend estimation classes in Verde share the same interface\n(they all inherit from :class:`verde.base.BaseGridder`). Since most gridders\nin Verde are linear models, we based our gridder interface on the\n`scikit-learn <http://scikit-learn.org/>`__ estimator interface: they all\nimplement a :meth:`~verde.base.BaseGridder.fit` method that estimates the\nmodel parameters based on data and a :meth:`~verde.base.BaseGridder.predict`\nmethod that calculates new data based on the estimated parameters.\n\nUnlike scikit-learn, our data model is not a feature matrix and a target\nvector (e.g., ``est.fit(X, y)``) but a tuple of coordinate arrays and a data\nvector (e.g., ``grd.fit((easting, northing), data)``). This makes more sense\nfor spatial data and is common to all classes and functions in Verde.\n\nAs an example, let's generate some synthetic data using\n:class:`verde.synthetic.CheckerBoard`:\n\n"
+        "\n## The gridder interface\n\nAll gridding and trend estimation classes in Verde share the same interface\n(they all inherit from :class:`verde.base.BaseGridder`). Since most gridders\nin Verde are linear models, we based our gridder interface on the\n[scikit-learn](http://scikit-learn.org/)_ estimator interface: they all\nimplement a :meth:`~verde.base.BaseGridder.fit` method that estimates the\nmodel parameters based on data and a :meth:`~verde.base.BaseGridder.predict`\nmethod that calculates new data based on the estimated parameters.\n\nUnlike scikit-learn, our data model is not a feature matrix and a target\nvector (e.g., ``est.fit(X, y)``) but a tuple of coordinate arrays and a data\nvector (e.g., ``grd.fit((easting, northing), data)``). This makes more sense\nfor spatial data and is common to all classes and functions in Verde.\n\nAs an example, let's generate some synthetic data using\n:class:`verde.synthetic.CheckerBoard`:\n\n"
       ]
     },
     {
@@ -105,7 +94,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We can compare our predictions with the true values for the checkerboard\nfunction using the :meth:`~verde.Spline.score` method to calculate the\n`R\u00b2 coefficient of determination\n<https://en.wikipedia.org/wiki/Coefficient_of_determination>`__.\n\n"
+        "We can compare our predictions with the true values for the checkerboard\nfunction using the :meth:`~verde.Spline.score` method to calculate the\n[R\u00b2 coefficient of determination](https://en.wikipedia.org/wiki/Coefficient_of_determination)_.\n\n"
       ]
     },
     {
@@ -197,7 +186,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/4e9eeb5ae745e1e8196e3e407d865ebf/spline_weights.ipynb b/dev/_downloads/4e9eeb5ae745e1e8196e3e407d865ebf/spline_weights.ipynb
index 483581816..dffd9d90b 100644
--- a/dev/_downloads/4e9eeb5ae745e1e8196e3e407d865ebf/spline_weights.ipynb
+++ b/dev/_downloads/4e9eeb5ae745e1e8196e3e407d865ebf/spline_weights.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/57be94f43850fc3b52940545161136d3/blockreduce_weights_mean.ipynb b/dev/_downloads/57be94f43850fc3b52940545161136d3/blockreduce_weights_mean.ipynb
index ad4ed41a4..a526f4dc0 100644
--- a/dev/_downloads/57be94f43850fc3b52940545161136d3/blockreduce_weights_mean.ipynb
+++ b/dev/_downloads/57be94f43850fc3b52940545161136d3/blockreduce_weights_mean.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/59f9d0a86f40e78311a5003858f7264a/projections.ipynb b/dev/_downloads/59f9d0a86f40e78311a5003858f7264a/projections.ipynb
index 412f9b378..25076c09d 100644
--- a/dev/_downloads/59f9d0a86f40e78311a5003858f7264a/projections.ipynb
+++ b/dev/_downloads/59f9d0a86f40e78311a5003858f7264a/projections.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Geographic Coordinates\n\nMost gridders and processing methods in Verde operate under the assumption that\nthe data coordinates are Cartesian. To process data in geographic (longitude\nand latitude) coordinates, we must first project them. There are different ways\nof doing this in Python but most of them rely on the `PROJ library\n<https://proj4.org/>`__. We'll use `pyproj\n<https://github.com/jswhit/pyproj>`__ to access PROJ directly and handle the\nprojection operations.\n"
+        "\n# Geographic Coordinates\n\nMost gridders and processing methods in Verde operate under the assumption that\nthe data coordinates are Cartesian. To process data in geographic (longitude\nand latitude) coordinates, we must first project them. There are different ways\nof doing this in Python but most of them rely on the [PROJ library](https://proj4.org/)_. We'll use [pyproj](https://github.com/jswhit/pyproj)_ to access PROJ directly and handle the\nprojection operations.\n"
       ]
     },
     {
@@ -262,7 +251,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/5fe34795e28a310c85f1067f41e4df01/vector_trend.ipynb b/dev/_downloads/5fe34795e28a310c85f1067f41e4df01/vector_trend.ipynb
index 050597e8a..a04af5183 100644
--- a/dev/_downloads/5fe34795e28a310c85f1067f41e4df01/vector_trend.ipynb
+++ b/dev/_downloads/5fe34795e28a310c85f1067f41e4df01/vector_trend.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/6ae317ad5536bb303e512763168eb3d1/cubic_gridder.ipynb b/dev/_downloads/6ae317ad5536bb303e512763168eb3d1/cubic_gridder.ipynb
index 519c5f3da..2db6775de 100644
--- a/dev/_downloads/6ae317ad5536bb303e512763168eb3d1/cubic_gridder.ipynb
+++ b/dev/_downloads/6ae317ad5536bb303e512763168eb3d1/cubic_gridder.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Gridding with a cubic interpolator\n\nVerde offers the :class:`verde.Cubic` class for piecewise cubic gridding.\nIt uses :class:`scipy.interpolate.CloughTocher2DInterpolator` under the hood\nwhile offering the convenience of Verde's gridder API.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use `pyproj <https://github.com/jswhit/pyproj>`__ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.Cubic.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
+        "\n# Gridding with a cubic interpolator\n\nVerde offers the :class:`verde.Cubic` class for piecewise cubic gridding.\nIt uses :class:`scipy.interpolate.CloughTocher2DInterpolator` under the hood\nwhile offering the convenience of Verde's gridder API.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use [pyproj](https://github.com/jswhit/pyproj)_ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.Cubic.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
       ]
     },
     {
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/729198118290f569a4c651262b90775f/grid_coordinates.ipynb b/dev/_downloads/729198118290f569a4c651262b90775f/grid_coordinates.ipynb
index 22f417e95..b4d979914 100644
--- a/dev/_downloads/729198118290f569a4c651262b90775f/grid_coordinates.ipynb
+++ b/dev/_downloads/729198118290f569a4c651262b90775f/grid_coordinates.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -352,7 +341,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/8b0540a0f801b15148bc719e29bff60b/blockreduce_weights.ipynb b/dev/_downloads/8b0540a0f801b15148bc719e29bff60b/blockreduce_weights.ipynb
index f013f1549..fa7307a08 100644
--- a/dev/_downloads/8b0540a0f801b15148bc719e29bff60b/blockreduce_weights.ipynb
+++ b/dev/_downloads/8b0540a0f801b15148bc719e29bff60b/blockreduce_weights.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/b0c24ded74946284f22ebfcd8beec6fc/spline.ipynb b/dev/_downloads/b0c24ded74946284f22ebfcd8beec6fc/spline.ipynb
index 1b07f609e..712802dd3 100644
--- a/dev/_downloads/b0c24ded74946284f22ebfcd8beec6fc/spline.ipynb
+++ b/dev/_downloads/b0c24ded74946284f22ebfcd8beec6fc/spline.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/b23a5b5441b74fcab6bae36fdc19ae7b/weights.ipynb b/dev/_downloads/b23a5b5441b74fcab6bae36fdc19ae7b/weights.ipynb
index b4db994c4..7b0a6136d 100644
--- a/dev/_downloads/b23a5b5441b74fcab6bae36fdc19ae7b/weights.ipynb
+++ b/dev/_downloads/b23a5b5441b74fcab6bae36fdc19ae7b/weights.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -226,7 +215,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/b7d98613d818dc23c6d8da31c85a1f49/vectors.ipynb b/dev/_downloads/b7d98613d818dc23c6d8da31c85a1f49/vectors.ipynb
index 13c3431c9..1a2029298 100644
--- a/dev/_downloads/b7d98613d818dc23c6d8da31c85a1f49/vectors.ipynb
+++ b/dev/_downloads/b7d98613d818dc23c6d8da31c85a1f49/vectors.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -269,7 +258,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/b7f1f56f79deb3904a931d46f6d14e69/vector_uncoupled.ipynb b/dev/_downloads/b7f1f56f79deb3904a931d46f6d14e69/vector_uncoupled.ipynb
index bd98e79dd..1a5352dcc 100644
--- a/dev/_downloads/b7f1f56f79deb3904a931d46f6d14e69/vector_uncoupled.ipynb
+++ b/dev/_downloads/b7f1f56f79deb3904a931d46f6d14e69/vector_uncoupled.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Gridding 2D vectors\n\nWe can use :class:`verde.Vector` to simultaneously process and grid all\ncomponents of vector data. Each component is processed and gridded separately\n(see `Erizo <https://github.com/fatiando/erizo>`__ for an elastically coupled\nalternative) but we have the convenience of dealing with a single estimator.\n:class:`verde.Vector` can be combined with :class:`verde.Trend`,\n:class:`verde.Spline`, and :class:`verde.Chain` to create a full processing\npipeline.\n"
+        "\n# Gridding 2D vectors\n\nWe can use :class:`verde.Vector` to simultaneously process and grid all\ncomponents of vector data. Each component is processed and gridded separately\n(see [Erizo](https://github.com/fatiando/erizo)_ for an elastically coupled\nalternative) but we have the convenience of dealing with a single estimator.\n:class:`verde.Vector` can be combined with :class:`verde.Trend`,\n:class:`verde.Spline`, and :class:`verde.Chain` to create a full processing\npipeline.\n"
       ]
     },
     {
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/bae88b9586d7290fae0f37cee7790dfd/blockreduce.ipynb b/dev/_downloads/bae88b9586d7290fae0f37cee7790dfd/blockreduce.ipynb
index 4fae0e831..0cceb2d64 100644
--- a/dev/_downloads/bae88b9586d7290fae0f37cee7790dfd/blockreduce.ipynb
+++ b/dev/_downloads/bae88b9586d7290fae0f37cee7790dfd/blockreduce.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/dc86610e73e4978ab5808d1d85560a17/kneighbors_gridder.ipynb b/dev/_downloads/dc86610e73e4978ab5808d1d85560a17/kneighbors_gridder.ipynb
index 8d6a720f3..19b6b593b 100644
--- a/dev/_downloads/dc86610e73e4978ab5808d1d85560a17/kneighbors_gridder.ipynb
+++ b/dev/_downloads/dc86610e73e4978ab5808d1d85560a17/kneighbors_gridder.ipynb
@@ -1,21 +1,10 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Gridding with a nearest-neighbors interpolator\n\nVerde offers the :class:`verde.KNeighbors` class for nearest-neighbor gridding.\nThe interpolation looks at the data values of the *k* nearest neighbors of a\ninterpolated point. If *k* is 1, then the data value of the closest neighbor is\nassigned to the point. If *k* is greater than 1, the average value of the\nclosest *k* neighbors is assigned to the point.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use `pyproj <https://github.com/jswhit/pyproj>`__ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.KNeighbors.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
+        "\n# Gridding with a nearest-neighbors interpolator\n\nVerde offers the :class:`verde.KNeighbors` class for nearest-neighbor gridding.\nThe interpolation looks at the data values of the *k* nearest neighbors of a\ninterpolated point. If *k* is 1, then the data value of the closest neighbor is\nassigned to the point. If *k* is greater than 1, the average value of the\nclosest *k* neighbors is assigned to the point.\n\nThe interpolation works on Cartesian data, so if we want to grid geographic\ndata (like our Baja California bathymetry) we need to project them into a\nCartesian system. We'll use [pyproj](https://github.com/jswhit/pyproj)_ to\ncalculate a Mercator projection for the data.\n\nFor convenience, Verde still allows us to make geographic grids by passing the\n``projection`` argument to :meth:`verde.KNeighbors.grid` and the like. When\ndoing so, the grid will be generated using geographic coordinates which will be\nprojected prior to interpolation.\n"
       ]
     },
     {
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_downloads/e24f65000d390435ace21be248933827/blockkfold.ipynb b/dev/_downloads/e24f65000d390435ace21be248933827/blockkfold.ipynb
index 3afd142bc..639d866a7 100644
--- a/dev/_downloads/e24f65000d390435ace21be248933827/blockkfold.ipynb
+++ b/dev/_downloads/e24f65000d390435ace21be248933827/blockkfold.ipynb
@@ -1,16 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -46,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,
diff --git a/dev/_images/sphx_glr_blockkfold_001.png b/dev/_images/sphx_glr_blockkfold_001.png
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diff --git a/dev/_images/sphx_glr_blockreduce_thumb.png b/dev/_images/sphx_glr_blockreduce_thumb.png
index 5927b214dd45fb8e6ee4d063a467bfe08823762c..a7201f6b31a2c59460b5e6667ee2fd842f5924a0 100644
GIT binary patch
delta 23864
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diff --git a/dev/_images/sphx_glr_chain_002.png b/dev/_images/sphx_glr_chain_002.png
index 55058d4f8a05e7bf9d7673a957383414ab384e7c..d208897b3ea75922a41a65588024637fbd6bcefe 100644
GIT binary patch
delta 45
zcmaDqf${wW#tCi;7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpy*_g)Z0RV~K
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delta 45
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diff --git a/dev/_images/sphx_glr_chain_003.png b/dev/_images/sphx_glr_chain_003.png
index 10519e4ae0f1bcac941ed407bfc87cdd29edc9b0..82da5e49fb97a5d5fef3cd119074fea702fcbb5f 100644
GIT binary patch
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diff --git a/dev/_images/sphx_glr_checkerboard_001.png b/dev/_images/sphx_glr_checkerboard_001.png
index 9676c9ef932a91c3b33a2244d8a858d5962b8e54..888c65411b12e9e00dd5d5cb290d0d4411f2c933 100644
GIT binary patch
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B5<36@

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diff --git a/dev/_images/sphx_glr_convex_hull_mask_001.png b/dev/_images/sphx_glr_convex_hull_mask_001.png
index a0ab241f7df96d8e9bed19543d0f1049c0433710..5a4447618cc08fe4f8d989e5082e2b031d520b3f 100644
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diff --git a/dev/_images/sphx_glr_grid_coordinates_001.png b/dev/_images/sphx_glr_grid_coordinates_001.png
index bfc79de02945eda9557d1f91bfc891d012c52ef7..37fee4024d459fbeef5012e1f9b09be280ca378a 100644
GIT binary patch
delta 45
zcmcb7km>S4rU`Be7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpy*_f8Q005E_
B60iUO

delta 45
zcmcb7km>S4rU`Berh3LY3K=CO1;tkS`nicE1v&X8Ihjd%`9<maXSH`;+L)HR0059E
B5>x;H

diff --git a/dev/_images/sphx_glr_grid_coordinates_002.png b/dev/_images/sphx_glr_grid_coordinates_002.png
index efa3d12c3372b2794d4fe46e6ab735c4575b141e..939363c509ab3bbb3e7b003c5d2d65330d94ac80 100644
GIT binary patch
delta 45
zcmbR7j%mg_rU`Be7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpy*_gIz8vu=#
B67K*2

delta 45
zcmbR7j%mg_rU`Berh3LY3K=CO1;tkS`nicE1v&X8Ihjd%`9<maXSH`;+L*R!8vu)}
B5|aP`

diff --git a/dev/_images/sphx_glr_grid_coordinates_003.png b/dev/_images/sphx_glr_grid_coordinates_003.png
index 3ce04ca69ff0184c8542ec8eb83d2833a6a255fe..71a1b4b7746bb8f081fe51564c03e1d79b997ba5 100644
GIT binary patch
delta 48
zcmX^6hvn=amI-bO7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpyX-wOi#`xS8
E0N&jcApigX

delta 48
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E0NdXa#Q*>R

diff --git a/dev/_images/sphx_glr_kneighbors_gridder_001.png b/dev/_images/sphx_glr_kneighbors_gridder_001.png
index 16341693e752cbf567bbe1b84f689ec7900c141e..c81b7f7aa826e8a5c82daf0ebb7a114fbe3d6272 100644
GIT binary patch
delta 4207
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delta 3957
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diff --git a/dev/_images/sphx_glr_kneighbors_gridder_thumb.png b/dev/_images/sphx_glr_kneighbors_gridder_thumb.png
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diff --git a/dev/_images/sphx_glr_linear_gridder_thumb.png b/dev/_images/sphx_glr_linear_gridder_thumb.png
index 46f2514d40a01b326f322414c376e084b417f8bb..f36e0078d5263ffbb46ec97eda085ea986e92e33 100644
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diff --git a/dev/_images/sphx_glr_model_evaluation_001.png b/dev/_images/sphx_glr_model_evaluation_001.png
index e39863dfaa19c59bd4a0e8c8da2c48536ed95958..d57c6cc0cfccc926479dc57dc6d4f769ee6942e3 100644
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diff --git a/dev/_images/sphx_glr_model_evaluation_002.png b/dev/_images/sphx_glr_model_evaluation_002.png
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diff --git a/dev/_images/sphx_glr_model_selection_001.png b/dev/_images/sphx_glr_model_selection_001.png
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diff --git a/dev/_images/sphx_glr_overview_001.png b/dev/_images/sphx_glr_overview_001.png
index 6a3931ed65e925d16d674d87a059c693d2433bf1..086445843528f768dc4fa01d8d3bf0be2a6c7e7c 100644
GIT binary patch
delta 48
zcmX@x%yzb!ZGxMEg`Sa)LPkkRL9vy-er{q(K~8>2PG*u`eo?x<!tZ}a8q>C>F{U>H
E0JG2%_W%F@

delta 48
zcmX@x%yzb!ZGxMEsh+WpLPkkRL9vy-er{q(K~8>2PG*u`eo?yqS?!&d8q>C>F{U>H
E0I<>$n*aa+

diff --git a/dev/_images/sphx_glr_overview_002.png b/dev/_images/sphx_glr_overview_002.png
index 6f39344aba71e48346a1d9293442229f107ef8fd..c0be753d5a9211732092b41cddb8e41458c17c21 100644
GIT binary patch
delta 45
zcmeCa!`OX?ae|wIg`Sa)LPkkRL9vy-er{q(K~8>2PG*u`eo?x<!tZ}aHl{7j1ptD3
B5?KHM

delta 45
zcmeCa!`OX?ae|wIsh+WpLPkkRL9vy-er{q(K~8>2PG*u`eo?yqS?!&dHl{7j1pt7N
B5&ZxF

diff --git a/dev/_images/sphx_glr_overview_003.png b/dev/_images/sphx_glr_overview_003.png
index 48e07e64566fb1d51293e44ae29c2cf51d736080..2e54b6907f7710fd03d3260186310337dd5a40d9 100644
GIT binary patch
delta 48
zcmcb=gXR7XmI-bO7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpyX-wOi#`sej
E0L?uUtpET3

delta 48
zcmcb=gXR7XmI-bOrh3LY3K=CO1;tkS`nicE1v&X8Ihjd%`9<maXSH`;YE0Xj#`sej
E0LniTQ2+n{

diff --git a/dev/_images/sphx_glr_overview_004.png b/dev/_images/sphx_glr_overview_004.png
index 490f87ac9a7d4c89d7ef4d3f43f88ade349b0fbb..504af3f4e64d5f61c6af6fbc1b2739df77a3f427 100644
GIT binary patch
delta 45
zcmcclobl#!#tCi;7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpy*_c*b3;>`;
B65jv-

delta 45
zcmcclobl#!#tCi;rh3LY3K=CO1;tkS`nicE1v&X8Ihjd%`9<maXSH`;+L%^c3;>>7
B5`zE$

diff --git a/dev/_images/sphx_glr_project_grid_001.png b/dev/_images/sphx_glr_project_grid_001.png
index d450fea0f424e1c0fd591d73451b749ed9e6f4ff..e049d537a4be28b70290478b6bd18702aef5cf41 100644
GIT binary patch
delta 51
zcmZ3zlY8|}?g?%R7J5cH3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma3cvpyX-sQPW89j?
H<a!4H_U05%

delta 51
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H<a!4H^3)Ua

diff --git a/dev/_images/sphx_glr_projections_001.png b/dev/_images/sphx_glr_projections_001.png
index 3520b4248deb02d7173b2792e03d2d30955ffe31..e45a18e2631d93a2622136f1fe24cfdffd32263e 100644
GIT binary patch
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diff --git a/dev/_images/sphx_glr_projections_002.png b/dev/_images/sphx_glr_projections_002.png
index dcd3048bd67a12d1a61cc4c0799c48392abd7fb7..2838780a16b10f41f0de7c01a9b02f67624768df 100644
GIT binary patch
delta 48
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E0KerEHvj+t

delta 48
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E0KDfC+W-In

diff --git a/dev/_images/sphx_glr_projections_003.png b/dev/_images/sphx_glr_projections_003.png
index 13afc8ca7bf9a3246559c6bd342eaced8e9bff60..bbcb8e147d6183c7905f8d12cb5b396a362c1820 100644
GIT binary patch
delta 3730
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delta 3710
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diff --git a/dev/_images/sphx_glr_spline_cv_001.png b/dev/_images/sphx_glr_spline_cv_001.png
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delta 4393
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diff --git a/dev/_images/sphx_glr_spline_cv_thumb.png b/dev/_images/sphx_glr_spline_cv_thumb.png
index fa1986bc63a3e06861e5024ee6a0f229dffc91ed..511bf77cd3c271772cf38d3aea5b15c950f264cb 100644
GIT binary patch
delta 2686
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delta 2688
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diff --git a/dev/_images/sphx_glr_spline_thumb.png b/dev/_images/sphx_glr_spline_thumb.png
index 7aaddf10e4a9db26eb7a218c279e75dcd758e53b..6fb3147bf995097bf193c9e4da51ec1f3991fa00 100644
GIT binary patch
delta 2740
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AWdHyG

delta 2682
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diff --git a/dev/_images/sphx_glr_train_test_split_001.png b/dev/_images/sphx_glr_train_test_split_001.png
index 36d03f296abc65643bbf9b3daf37f5718fa5718e..60284c95e3b58f3550039068fea1bf9475ef8eac 100644
GIT binary patch
delta 3541
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diff --git a/dev/_images/sphx_glr_train_test_split_thumb.png b/dev/_images/sphx_glr_train_test_split_thumb.png
index 9a6d50c4889c82495b3d963a8dcaef443aa4c155..c8956cf216ca7c763d0f29cdf0c8f649e40c4f61 100644
GIT binary patch
delta 27070
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diff --git a/dev/_images/sphx_glr_trend_thumb.png b/dev/_images/sphx_glr_trend_thumb.png
index 6e84fc2c5a11e87ed99c0db21535e8527053e9af..bda22581e898eb814f96ccd7afdfcea6af0589d4 100644
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delta 2858
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delta 2859
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diff --git a/dev/_images/sphx_glr_trends_thumb.png b/dev/_images/sphx_glr_trends_thumb.png
index 06b4ed926fbb9e3889d6d2a7a29c9d2f4ca1de63..1c5c1b11bd1a916d35b8d46d9e3b0d14ecffd488 100644
GIT binary patch
delta 2216
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delta 2217
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diff --git a/dev/_images/sphx_glr_vectors_002.png b/dev/_images/sphx_glr_vectors_002.png
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diff --git a/dev/_images/sphx_glr_vectors_004.png b/dev/_images/sphx_glr_vectors_004.png
index 5c661ac87b2820b7ac898d432ecf703124f67bae..b7677f20bcf48402a348a7b4891141a853182ac6 100644
GIT binary patch
delta 7709
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K19$yF@V@{>0<@$6

delta 7307
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diff --git a/dev/_modules/index.html b/dev/_modules/index.html
index 9e0812537..c0dc43067 100644
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@@ -2,7 +2,9 @@
 
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-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Vector Data
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- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
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-   </li>
-   <li class="toctree-l2">
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-     verde.SplineCV
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-     verde.KNeighbors
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-     verde.Linear
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-     verde.Cubic
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-     verde.VectorSpline2D
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-     verde.BlockReduce
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-     verde.BlockMean
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-     verde.Trend
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-     verde.convexhull_mask
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-     verde.maxabs
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-     verde.variance_to_weights
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-     verde.grid_to_table
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-     verde.make_xarray_grid
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<div class="dropdown dropdown-source-buttons">
+  <button class="btn dropdown-toggle" type="button" data-bs-toggle="dropdown" aria-expanded="false" aria-label="Source repositories">
+    <i class="fab fa-github"></i>
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-  <div class="menu-dropdown__content">
-    <ul>
-      <li>
-        <a href="https://github.com/fatiando/verde"
-   class="headerbtn"
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+  <ul class="dropdown-menu">
+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde" target="_blank"
+   class="btn btn-sm btn-source-repository-button dropdown-item"
+   title="Source repository"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fab fa-github"></i>
   </span>
-<span class="headerbtn__text-container">repository</span>
+<span class="btn__text-container">Repository</span>
 </a>
-
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+</li>
+      
+      
       
-      <li>
-        <a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2F_modules/index.html&body=Your%20issue%20content%20here."
-   class="headerbtn"
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+      
+      <li><a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2F_modules/index.html&body=Your%20issue%20content%20here." target="_blank"
+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fas fa-lightbulb"></i>
   </span>
-<span class="headerbtn__text-container">open issue</span>
+<span class="btn__text-container">Open issue</span>
 </a>
-
-      </li>
+</li>
       
-    </ul>
-  </div>
+  </ul>
 </div>
 
+
+
+
+<button onclick="toggleFullScreen()"
+  class="btn btn-sm btn-fullscreen-button"
+  title="Fullscreen mode"
+  data-bs-placement="bottom" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script>
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+  </button>
+`);
+</script>
+
+</div></div>
+      
     </div>
+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1></h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <h1>All modules for which code is available</h1>
 <ul><li><a href="verde/base/base_classes.html">verde.base.base_classes</a></li>
 <li><a href="verde/base/least_squares.html">verde.base.least_squares</a></li>
@@ -752,35 +439,71 @@ <h1>All modules for which code is available</h1>
 <li><a href="verde/vector.html">verde.vector</a></li>
 </ul>
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
 </div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
-    </div>
+  </div>
+  
+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
-      </div>
+      </main>
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+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/_modules/verde/base/base_classes.html b/dev/_modules/verde/base/base_classes.html
index 05f1b80f6..c791a473f 100644
--- a/dev/_modules/verde/base/base_classes.html
+++ b/dev/_modules/verde/base/base_classes.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../../" >
+
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
         <title>verde.base.base_classes | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+  
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-  <link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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+  <link href="../../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
-    
-  <link rel="stylesheet"
-    href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
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+  <link href="../../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
+
+    <link rel="stylesheet" type="text/css" href="../../../_static/pygments.css?v=80d5e7a1" />
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-    
+    <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/custom.css?v=44687e0a" />
+  
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-  <link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
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+  <link rel="preload" as="script" href="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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+    <script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = '_modules/verde/base/base_classes';</script>
+    <link rel="icon" href="../../../_static/favicon.png"/>
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
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+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
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+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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+    Back to top
+  </button>
 
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+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
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+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
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- <span class="caption-text">
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+      <div class="bd-sidebar-primary bd-sidebar">
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+<a class="navbar-brand logo" href="../../../index.html">
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+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
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+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/overview.html">
-   Overview
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../install.html">
-   Installing
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- </li>
- <li class="toctree-l1 has-children">
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-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.project_region.html">verde.project_region</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
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   <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -757,8 +444,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">check_data</span><span class="p">,</span> <span class="n">check_data_names</span><span class="p">,</span> <span class="n">score_estimator</span>
 
 
-<div class="viewcode-block" id="BaseBlockCrossValidator"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator">[docs]</a><span class="k">class</span> <span class="nc">BaseBlockCrossValidator</span><span class="p">(</span><span class="n">BaseCrossValidator</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BaseBlockCrossValidator">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseBlockCrossValidator</span><span class="p">(</span><span class="n">BaseCrossValidator</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Base class for spatially blocked cross-validators.</span>
 
 <span class="sd">    Parameters</span>
@@ -787,8 +476,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">shape</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">n_splits</span> <span class="o">=</span> <span class="n">n_splits</span>
 
-<div class="viewcode-block" id="BaseBlockCrossValidator.split"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.split">[docs]</a>    <span class="k">def</span> <span class="nf">split</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: N803</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BaseBlockCrossValidator.split">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.split">[docs]</a>
+    <span class="k">def</span> <span class="nf">split</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: N803</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Generate indices to split data into training and test set.</span>
 
 <span class="sd">        Parameters</span>
@@ -818,8 +509,11 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="k">for</span> <span class="n">train</span><span class="p">,</span> <span class="n">test</span> <span class="ow">in</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">groups</span><span class="p">):</span>
             <span class="k">yield</span> <span class="n">train</span><span class="p">,</span> <span class="n">test</span></div>
 
-<div class="viewcode-block" id="BaseBlockCrossValidator.get_n_splits"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.get_n_splits">[docs]</a>    <span class="k">def</span> <span class="nf">get_n_splits</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: U100,N803</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseBlockCrossValidator.get_n_splits">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.get_n_splits">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_n_splits</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: U100,N803</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Returns the number of splitting iterations in the cross-validator</span>
 
 <span class="sd">        Parameters</span>
@@ -838,9 +532,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_splits</span></div>
 
+
     <span class="nd">@abstractmethod</span>
     <span class="k">def</span> <span class="nf">_iter_test_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: U100,N803</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Generates integer indices corresponding to test sets.</span>
 
 <span class="sd">        MUST BE IMPLEMENTED BY DERIVED CLASSES.</span>
@@ -865,8 +560,11 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span></div>
 
 
-<div class="viewcode-block" id="BaseGridder"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder">[docs]</a><span class="k">class</span> <span class="nc">BaseGridder</span><span class="p">(</span><span class="n">BaseEstimator</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseGridder">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseGridder</span><span class="p">(</span><span class="n">BaseEstimator</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Base class for gridders.</span>
 
 <span class="sd">    Most methods of this class requires the implementation of a</span>
@@ -955,8 +653,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="p">(</span><span class="s2">&quot;east_component&quot;</span><span class="p">,</span> <span class="s2">&quot;north_component&quot;</span><span class="p">,</span> <span class="s2">&quot;vertical_component&quot;</span><span class="p">),</span>
     <span class="p">]</span>
 
-<div class="viewcode-block" id="BaseGridder.predict"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>  <span class="c1"># noqa: U100</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BaseGridder.predict">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>  <span class="c1"># noqa: U100</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Predict data on the given coordinate values. NOT IMPLEMENTED.</span>
 
 <span class="sd">        This is a dummy placeholder for an actual method.</span>
@@ -975,8 +675,11 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="BaseGridder.fit"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: U100</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseGridder.fit">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: U100</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the gridder to observed data. NOT IMPLEMENTED.</span>
 
 <span class="sd">        This is a dummy placeholder for an actual method.</span>
@@ -1003,8 +706,11 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="BaseGridder.filter"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.filter">[docs]</a>    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseGridder.filter">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.filter">[docs]</a>
+    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Filter the data through the gridder and produce residuals.</span>
 
 <span class="sd">        Calls ``fit`` on the data, evaluates the residuals (data - predicted</span>
@@ -1048,8 +754,11 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
             <span class="n">residuals</span> <span class="o">=</span> <span class="n">residuals</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">residuals</span><span class="p">,</span> <span class="n">weights</span></div>
 
-<div class="viewcode-block" id="BaseGridder.score"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseGridder.score">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.score">[docs]</a>
+    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Score the gridder predictions against the given data.</span>
 
 <span class="sd">        Calculates the R^2 coefficient of determination of between the</span>
@@ -1098,7 +807,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="p">)</span>
         <span class="k">return</span> <span class="n">score_estimator</span><span class="p">(</span><span class="s2">&quot;r2&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="BaseGridder.grid"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.grid">[docs]</a>    <span class="k">def</span> <span class="nf">grid</span><span class="p">(</span>
+
+<div class="viewcode-block" id="BaseGridder.grid">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.grid">[docs]</a>
+    <span class="k">def</span> <span class="nf">grid</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -1109,7 +821,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="n">coordinates</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
     <span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Interpolate the data onto a regular grid.</span>
 
 <span class="sd">        The grid can be specified by two methods:</span>
@@ -1232,7 +944,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
             <span class="n">dataset</span><span class="p">[</span><span class="n">array</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;metadata&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">metadata</span>
         <span class="k">return</span> <span class="n">dataset</span></div>
 
-<div class="viewcode-block" id="BaseGridder.scatter"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.scatter">[docs]</a>    <span class="k">def</span> <span class="nf">scatter</span><span class="p">(</span>
+
+<div class="viewcode-block" id="BaseGridder.scatter">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.scatter">[docs]</a>
+    <span class="k">def</span> <span class="nf">scatter</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="n">size</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
@@ -1242,7 +957,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
     <span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Interpolate values onto a random scatter of points.</span>
 
 <span class="sd">        Point coordinates are generated by :func:`verde.scatter_points`. Other</span>
@@ -1324,7 +1039,10 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="n">columns</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">data_names</span><span class="p">,</span> <span class="n">data</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">columns</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">])</span></div>
 
-<div class="viewcode-block" id="BaseGridder.profile"><a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.profile">[docs]</a>    <span class="k">def</span> <span class="nf">profile</span><span class="p">(</span>
+
+<div class="viewcode-block" id="BaseGridder.profile">
+<a class="viewcode-back" href="../../../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.profile">[docs]</a>
+    <span class="k">def</span> <span class="nf">profile</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">point1</span><span class="p">,</span>
         <span class="n">point2</span><span class="p">,</span>
@@ -1334,7 +1052,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
     <span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Interpolate data along a profile between two points.</span>
 
 <span class="sd">        Generates the profile along a straight line assuming Cartesian</span>
@@ -1439,8 +1157,9 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="n">columns</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">data_names</span><span class="p">,</span> <span class="n">data</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">columns</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">])</span></div>
 
+
     <span class="k">def</span> <span class="nf">_get_dims</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dims</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Get default dimension names.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="n">dims</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
@@ -1448,7 +1167,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">dims</span>
 
     <span class="k">def</span> <span class="nf">_get_extra_coords_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Return names for extra coordinates</span>
 
 <span class="sd">        Examples</span>
@@ -1475,7 +1194,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">names</span>
 
     <span class="k">def</span> <span class="nf">_get_data_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">data_names</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Get default names for data fields if none are given based on the data.</span>
 
 <span class="sd">        Examples</span>
@@ -1515,8 +1234,9 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">data_names</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">project_coordinates</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">projection</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Apply projection to given coordinates</span>
 
 <span class="sd">    Allows to apply projections to any number of coordinates, assuming</span>
@@ -1552,7 +1272,7 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">get_instance_region</span><span class="p">(</span><span class="n">instance</span><span class="p">,</span> <span class="n">region</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Get the region attribute stored in instance if one is not provided.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">region</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
@@ -1562,35 +1282,71 @@ <h1>Source code for verde.base.base_classes</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">region</span>
 </pre></div>
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
 </div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
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+          <footer class="bd-footer-content">
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+  
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+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
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-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
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+  <div class="footer-item">
     
+  </div>
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+          </footer>
+        
 
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+      </main>
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+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="../../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/_modules/verde/base/least_squares.html b/dev/_modules/verde/base/least_squares.html
index da9d16102..992ff968b 100644
--- a/dev/_modules/verde/base/least_squares.html
+++ b/dev/_modules/verde/base/least_squares.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../../" >
+
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
         <title>verde.base.least_squares | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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-    
-  <link rel="stylesheet"
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-  <link rel="preload" as="font" type="font/woff2" crossorigin
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/weights.html">Using Weights</a></li>
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 </ul>
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.convexhull_mask
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-     verde.maxabs
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-     verde.median_distance
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-    <a class="reference internal" href="../../../api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.base.n_1d_arrays
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-     verde.base.check_fit_input
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-     verde.base.least_squares
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-    <a class="reference internal" href="../../../api/generated/verde.ScipyGridder.html">
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   <h1>Source code for verde.base.least_squares</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -746,8 +433,10 @@ <h1>Source code for verde.base.least_squares</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">StandardScaler</span>
 
 
-<div class="viewcode-block" id="least_squares"><a class="viewcode-back" href="../../../api/generated/verde.base.least_squares.html#verde.base.least_squares">[docs]</a><span class="k">def</span> <span class="nf">least_squares</span><span class="p">(</span><span class="n">jacobian</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="n">damping</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">copy_jacobian</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="least_squares">
+<a class="viewcode-back" href="../../../api/generated/verde.base.least_squares.html#verde.base.least_squares">[docs]</a>
+<span class="k">def</span> <span class="nf">least_squares</span><span class="p">(</span><span class="n">jacobian</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="n">damping</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">copy_jacobian</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Solve a weighted least-squares problem with optional damping regularization</span>
 
 <span class="sd">    Scales the Jacobian matrix so that each column has unit variance. This</span>
@@ -801,37 +490,74 @@ <h1>Source code for verde.base.least_squares</h1><div class="highlight"><pre>
     <span class="n">regr</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">jacobian</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">ravel</span><span class="p">(),</span> <span class="n">sample_weight</span><span class="o">=</span><span class="n">weights</span><span class="p">)</span>
     <span class="n">params</span> <span class="o">=</span> <span class="n">regr</span><span class="o">.</span><span class="n">coef_</span> <span class="o">/</span> <span class="n">scaler</span><span class="o">.</span><span class="n">scale_</span>
     <span class="k">return</span> <span class="n">params</span></div>
+
 </pre></div>
 
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index 811c72e74..4ab01623f 100644
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-     Projection of gridded data
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-     Gridding with splines
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-     Gridding with splines (cross-validated)
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-     Polynomial trend
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-     Trends in vector data
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-    <a class="reference internal" href="../../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
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+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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-</p>
+</li>
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- <li class="toctree-l1">
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-   Grid Coordinates
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/vectors.html">Vector Data</a></li>
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   <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -745,7 +432,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">score_estimator</span><span class="p">(</span><span class="n">scoring</span><span class="p">,</span> <span class="n">estimator</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Score the given gridder against the given data using the given metric.</span>
 
 <span class="sd">    If the data and predictions have more than 1 component, the scores of each</span>
@@ -799,7 +486,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">class</span> <span class="nc">DummyEstimator</span><span class="p">:</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Dummy estimator that does nothing but pass along the predicted data.</span>
 <span class="sd">    Used to fool the scikit-learn scorer functions to fit our API</span>
 <span class="sd">    (multi-component estimators return a tuple on .predict).</span>
@@ -823,7 +510,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_data</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check the *data* argument and make sure it&#39;s a tuple.</span>
 <span class="sd">    If the data is a single array, return it as a tuple with a single element.</span>
 
@@ -844,7 +531,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_data_names</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">data_names</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check *data_names* against *data*.</span>
 
 <span class="sd">    Also, convert ``data_names`` to a tuple if it&#39;s a single string.</span>
@@ -880,7 +567,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_coordinates</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check that the given coordinate arrays are what we expect them to be.</span>
 <span class="sd">    Should be a tuple with arrays of the same shape.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -895,7 +582,7 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_extra_coords_names</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">extra_coords_names</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check extra_coords_names against coordinates.</span>
 
 <span class="sd">    Also, convert ``extra_coords_names`` to a tuple if it&#39;s a single string.</span>
@@ -934,8 +621,10 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">extra_coords_names</span>
 
 
-<div class="viewcode-block" id="check_fit_input"><a class="viewcode-back" href="../../../api/generated/verde.base.check_fit_input.html#verde.base.check_fit_input">[docs]</a><span class="k">def</span> <span class="nf">check_fit_input</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="n">unpack</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="check_fit_input">
+<a class="viewcode-back" href="../../../api/generated/verde.base.check_fit_input.html#verde.base.check_fit_input">[docs]</a>
+<span class="k">def</span> <span class="nf">check_fit_input</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="n">unpack</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Validate the inputs to the fit method of gridders.</span>
 
 <span class="sd">    Checks that the coordinates, data, and weights (if given) all have the same</span>
@@ -995,8 +684,11 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span></div>
 
 
-<div class="viewcode-block" id="n_1d_arrays"><a class="viewcode-back" href="../../../api/generated/verde.base.n_1d_arrays.html#verde.base.n_1d_arrays">[docs]</a><span class="k">def</span> <span class="nf">n_1d_arrays</span><span class="p">(</span><span class="n">arrays</span><span class="p">,</span> <span class="n">n</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="n_1d_arrays">
+<a class="viewcode-back" href="../../../api/generated/verde.base.n_1d_arrays.html#verde.base.n_1d_arrays">[docs]</a>
+<span class="k">def</span> <span class="nf">n_1d_arrays</span><span class="p">(</span><span class="n">arrays</span><span class="p">,</span> <span class="n">n</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Get the first n elements from a tuple/list, convert to arrays, and ravel.</span>
 
 <span class="sd">    Use this function to make sure that coordinate and data arrays are ready</span>
@@ -1025,37 +717,74 @@ <h1>Source code for verde.base.utils</h1><div class="highlight"><pre>
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">arrays</span><span class="p">[:</span><span class="n">n</span><span class="p">])</span></div>
+
 </pre></div>
 
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diff --git a/dev/_modules/verde/blockreduce.html b/dev/_modules/verde/blockreduce.html
index 8208020bb..813c035dc 100644
--- a/dev/_modules/verde/blockreduce.html
+++ b/dev/_modules/verde/blockreduce.html
@@ -2,7 +2,9 @@
 
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+
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+<a class="navbar-brand logo" href="../../index.html">
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-     Splitting data into train and test sets
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-     Polynomial trend
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-     Trends in vector data
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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- <li class="toctree-l1">
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-   Grid Coordinates
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-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
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-   Data Decimation
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-   Geographic Coordinates
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-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
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-     verde.profile_coordinates
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-     verde.get_region
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-     verde.pad_region
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-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.base.n_1d_arrays
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-     verde.base.check_fit_input
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-     verde.base.least_squares
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">
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   <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -750,7 +437,7 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">attach_weights</span><span class="p">(</span><span class="n">reduction</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Create a partial application of reduction with the proper weights attached.</span>
 
 <span class="sd">    Makes a function that calls *reduction* and gives it the weights</span>
@@ -766,8 +453,10 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">weighted_reduction</span>
 
 
-<div class="viewcode-block" id="BlockReduce"><a class="viewcode-back" href="../../api/generated/verde.BlockReduce.html#verde.BlockReduce">[docs]</a><span class="k">class</span> <span class="nc">BlockReduce</span><span class="p">(</span><span class="n">BaseEstimator</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BlockReduce">
+<a class="viewcode-back" href="../../api/generated/verde.BlockReduce.html#verde.BlockReduce">[docs]</a>
+<span class="k">class</span> <span class="nc">BlockReduce</span><span class="p">(</span><span class="n">BaseEstimator</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Apply a reduction/aggregation operation to the data in blocks/windows.</span>
 
 <span class="sd">    Returns the reduced data value for each block along with the associated</span>
@@ -847,8 +536,10 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">center_coordinates</span> <span class="o">=</span> <span class="n">center_coordinates</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">drop_coords</span> <span class="o">=</span> <span class="n">drop_coords</span>
 
-<div class="viewcode-block" id="BlockReduce.filter"><a class="viewcode-back" href="../../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter">[docs]</a>    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BlockReduce.filter">
+<a class="viewcode-back" href="../../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter">[docs]</a>
+    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Apply the blocked aggregation to the given data.</span>
 
 <span class="sd">        Returns the reduced data value for each block along with the associated</span>
@@ -918,8 +609,9 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
             <span class="k">return</span> <span class="n">blocked_coords</span><span class="p">,</span> <span class="n">blocked_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="n">blocked_coords</span><span class="p">,</span> <span class="n">blocked_data</span></div>
 
+
     <span class="k">def</span> <span class="nf">_block_coordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">block_coordinates</span><span class="p">,</span> <span class="n">labels</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate a coordinate assigned to each block.</span>
 
 <span class="sd">        If self.center_coordinates, the coordinates will be the center of each</span>
@@ -976,8 +668,11 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="BlockMean"><a class="viewcode-back" href="../../api/generated/verde.BlockMean.html#verde.BlockMean">[docs]</a><span class="k">class</span> <span class="nc">BlockMean</span><span class="p">(</span><span class="n">BlockReduce</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BlockMean">
+<a class="viewcode-back" href="../../api/generated/verde.BlockMean.html#verde.BlockMean">[docs]</a>
+<span class="k">class</span> <span class="nc">BlockMean</span><span class="p">(</span><span class="n">BlockReduce</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Apply a (weighted) mean to the data in blocks/windows.</span>
 
 <span class="sd">    Returns the mean data value for each block along with the associated</span>
@@ -1090,8 +785,10 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">uncertainty</span> <span class="o">=</span> <span class="n">uncertainty</span>
 
-<div class="viewcode-block" id="BlockMean.filter"><a class="viewcode-back" href="../../api/generated/verde.BlockMean.html#verde.BlockMean.filter">[docs]</a>    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BlockMean.filter">
+<a class="viewcode-back" href="../../api/generated/verde.BlockMean.html#verde.BlockMean.filter">[docs]</a>
+    <span class="k">def</span> <span class="nf">filter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: A003</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Apply the blocked mean to the given data.</span>
 
 <span class="sd">        Returns the reduced data value for each block along with the associated</span>
@@ -1169,8 +866,9 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
             <span class="k">return</span> <span class="n">blocked_coords</span><span class="p">,</span> <span class="n">blocked_data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">blocked_weights</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
         <span class="k">return</span> <span class="n">blocked_coords</span><span class="p">,</span> <span class="n">blocked_data</span><span class="p">,</span> <span class="n">blocked_weights</span></div>
 
+
     <span class="k">def</span> <span class="nf">_blocked_mean_uncertainty</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">table</span><span class="p">,</span> <span class="n">ncomps</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate the blocked weighted mean and propagate the uncertainty from</span>
 <span class="sd">        the points to the weighted mean. Assumes that the weights are</span>
 <span class="sd">        1/uncertainty**2. The propagated uncertainty of the weighted mean</span>
@@ -1193,7 +891,7 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">mean</span><span class="p">,</span> <span class="n">variance</span>
 
     <span class="k">def</span> <span class="nf">_blocked_mean_variance</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">table</span><span class="p">,</span> <span class="n">ncomps</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate the blocked mean and variance without weights.</span>
 <span class="sd">        The variance will be the unweighted variance of the blocks.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -1207,7 +905,7 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">mean</span><span class="p">,</span> <span class="n">variance</span>
 
     <span class="k">def</span> <span class="nf">_blocked_mean_variance_weighted</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">table</span><span class="p">,</span> <span class="n">ncomps</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate the blocked weighted mean and the weighted variance.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="c1"># Need to make a function that takes a group (a pandas.DataFrame) and</span>
@@ -1219,7 +917,7 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="n">columns</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="s2">&quot;variance</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ncomps</span><span class="p">))</span>
 
         <span class="k">def</span> <span class="nf">weighted_average_variance</span><span class="p">(</span><span class="n">group</span><span class="p">):</span>
-            <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">            Calculate the weighted average and variance of a group.</span>
 <span class="sd">            Returns a DataFrame with columns for the averages and variances.</span>
 <span class="sd">            &quot;&quot;&quot;</span>
@@ -1239,37 +937,74 @@ <h1>Source code for verde.blockreduce</h1><div class="highlight"><pre>
         <span class="n">mean</span> <span class="o">=</span> <span class="p">[</span><span class="n">blocked</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">[:</span><span class="n">ncomps</span><span class="p">]]</span>
         <span class="n">variance</span> <span class="o">=</span> <span class="p">[</span><span class="n">blocked</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">[</span><span class="n">ncomps</span><span class="p">:]]</span>
         <span class="k">return</span> <span class="n">mean</span><span class="p">,</span> <span class="n">variance</span></div>
+
 </pre></div>
 
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+                </article>
               
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diff --git a/dev/_modules/verde/chain.html b/dev/_modules/verde/chain.html
index ee14646bb..ed642a32d 100644
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+++ b/dev/_modules/verde/chain.html
@@ -2,7 +2,9 @@
 
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-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
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-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
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-     verde.Spline
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-    <a class="reference internal" href="../../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-     verde.KNeighbors
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-     verde.Linear
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-     verde.Cubic
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-     verde.VectorSpline2D
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-     verde.BlockReduce
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-     verde.BlockMean
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-     verde.Chain
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-     verde.train_test_split
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-     verde.cross_val_score
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-     verde.BlockShuffleSplit
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-     verde.BlockKFold
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-     verde.line_coordinates
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-     verde.grid_coordinates
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-     verde.scatter_points
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-    <a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-     verde.get_region
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-    <a class="reference internal" href="../../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.inside.html">
-     verde.inside
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-    <a class="reference internal" href="../../api/generated/verde.block_split.html">
-     verde.block_split
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-   </li>
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-    <a class="reference internal" href="../../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-    <a class="reference internal" href="../../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
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-    <a class="reference internal" href="../../api/generated/verde.project_grid.html">
-     verde.project_grid
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-    <a class="reference internal" href="../../api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-    <a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
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-    <a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-    <a class="reference internal" href="../../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-    <a class="reference internal" href="../../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
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-    <a class="reference internal" href="../../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
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-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../references.html">
-   References
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../versions.html">
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
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   <h1>Source code for verde.chain</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -747,8 +434,10 @@ <h1>Source code for verde.chain</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.coordinates</span> <span class="kn">import</span> <span class="n">get_region</span>
 
 
-<div class="viewcode-block" id="Chain"><a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain">[docs]</a><span class="k">class</span> <span class="nc">Chain</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Chain">
+<a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain">[docs]</a>
+<span class="k">class</span> <span class="nc">Chain</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Chain filtering operations to fit on each subsequent output.</span>
 
 <span class="sd">    The :meth:`~verde.base.BaseGridder.filter` method of each element of the</span>
@@ -792,13 +481,15 @@ <h1>Source code for verde.chain</h1><div class="highlight"><pre>
 
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">named_steps</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        A dictionary version of steps.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Chain.fit"><a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Chain.fit">
+<a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the chained estimators to the given data.</span>
 
 <span class="sd">        Each estimator in the chain is fitted to the residuals of the previous</span>
@@ -836,8 +527,11 @@ <h1>Source code for verde.chain</h1><div class="highlight"><pre>
             <span class="n">args</span> <span class="o">=</span> <span class="n">step</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="Chain.predict"><a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Chain.predict">
+<a class="viewcode-back" href="../../api/generated/verde.Chain.html#verde.Chain.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluates the data predicted by the chain on the given set of points.</span>
 
 <span class="sd">        Predictions from each step in the chain are added together. Any step</span>
@@ -868,38 +562,76 @@ <h1>Source code for verde.chain</h1><div class="highlight"><pre>
                     <span class="n">result</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+=</span> <span class="n">pred</span>
         <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">result</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
-        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
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\ No newline at end of file
diff --git a/dev/_modules/verde/coordinates.html b/dev/_modules/verde/coordinates.html
index 4b8a2e2de..d211b002f 100644
--- a/dev/_modules/verde/coordinates.html
+++ b/dev/_modules/verde/coordinates.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
         <title>verde.coordinates | Verde dev</title>
     
 
-    
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+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Grid Coordinates
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-   Trend Estimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
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+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+  </button>
+`);
+</script>
+
+</div></div>
+      
     </div>
+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1></h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -750,7 +437,7 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_region</span><span class="p">(</span><span class="n">region</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check that the given region dimensions are valid.</span>
 
 <span class="sd">    For example, the west limit should not be greater than the east and there</span>
@@ -783,8 +470,10 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
         <span class="p">)</span>
 
 
-<div class="viewcode-block" id="get_region"><a class="viewcode-back" href="../../api/generated/verde.get_region.html#verde.get_region">[docs]</a><span class="k">def</span> <span class="nf">get_region</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="get_region">
+<a class="viewcode-back" href="../../api/generated/verde.get_region.html#verde.get_region">[docs]</a>
+<span class="k">def</span> <span class="nf">get_region</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Get the bounding region of the given coordinates.</span>
 
 <span class="sd">    Parameters</span>
@@ -813,8 +502,11 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">region</span></div>
 
 
-<div class="viewcode-block" id="pad_region"><a class="viewcode-back" href="../../api/generated/verde.pad_region.html#verde.pad_region">[docs]</a><span class="k">def</span> <span class="nf">pad_region</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">pad</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="pad_region">
+<a class="viewcode-back" href="../../api/generated/verde.pad_region.html#verde.pad_region">[docs]</a>
+<span class="k">def</span> <span class="nf">pad_region</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">pad</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Extend the borders of a region by the given amount.</span>
 
 <span class="sd">    Parameters</span>
@@ -849,8 +541,11 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">padded</span></div>
 
 
-<div class="viewcode-block" id="scatter_points"><a class="viewcode-back" href="../../api/generated/verde.scatter_points.html#verde.scatter_points">[docs]</a><span class="k">def</span> <span class="nf">scatter_points</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">extra_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="scatter_points">
+<a class="viewcode-back" href="../../api/generated/verde.scatter_points.html#verde.scatter_points">[docs]</a>
+<span class="k">def</span> <span class="nf">scatter_points</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">extra_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Generate the coordinates for a random scatter of points.</span>
 
 <span class="sd">    The points are drawn from a uniform distribution.</span>
@@ -921,10 +616,13 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="line_coordinates"><a class="viewcode-back" href="../../api/generated/verde.line_coordinates.html#verde.line_coordinates">[docs]</a><span class="k">def</span> <span class="nf">line_coordinates</span><span class="p">(</span>
+
+<div class="viewcode-block" id="line_coordinates">
+<a class="viewcode-back" href="../../api/generated/verde.line_coordinates.html#verde.line_coordinates">[docs]</a>
+<span class="k">def</span> <span class="nf">line_coordinates</span><span class="p">(</span>
     <span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;spacing&quot;</span><span class="p">,</span> <span class="n">pixel_register</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Generate evenly spaced points between two values.</span>
 
 <span class="sd">    Able to handle either specifying the number of points required (*size*) or</span>
@@ -1024,7 +722,10 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">values</span></div>
 
 
-<div class="viewcode-block" id="grid_coordinates"><a class="viewcode-back" href="../../api/generated/verde.grid_coordinates.html#verde.grid_coordinates">[docs]</a><span class="k">def</span> <span class="nf">grid_coordinates</span><span class="p">(</span>
+
+<div class="viewcode-block" id="grid_coordinates">
+<a class="viewcode-back" href="../../api/generated/verde.grid_coordinates.html#verde.grid_coordinates">[docs]</a>
+<span class="k">def</span> <span class="nf">grid_coordinates</span><span class="p">(</span>
     <span class="n">region</span><span class="p">,</span>
     <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
@@ -1033,7 +734,7 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="n">extra_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">meshgrid</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Generate the coordinates for each point on a regular grid.</span>
 
 <span class="sd">    The grid can be specified by either the number of points in each dimension</span>
@@ -1329,8 +1030,9 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">spacing_to_size</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">,</span> <span class="n">spacing</span><span class="p">,</span> <span class="n">adjust</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convert a spacing to the number of points between start and stop.</span>
 
 <span class="sd">    Takes into account if the spacing or the interval needs to be adjusted.</span>
@@ -1379,7 +1081,7 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">shape_to_spacing</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">pixel_register</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Calculate the spacing of a grid given region and shape.</span>
 
 <span class="sd">    Parameters</span>
@@ -1434,8 +1136,10 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="nb">reversed</span><span class="p">(</span><span class="n">spacing</span><span class="p">))</span>
 
 
-<div class="viewcode-block" id="profile_coordinates"><a class="viewcode-back" href="../../api/generated/verde.profile_coordinates.html#verde.profile_coordinates">[docs]</a><span class="k">def</span> <span class="nf">profile_coordinates</span><span class="p">(</span><span class="n">point1</span><span class="p">,</span> <span class="n">point2</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">extra_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="profile_coordinates">
+<a class="viewcode-back" href="../../api/generated/verde.profile_coordinates.html#verde.profile_coordinates">[docs]</a>
+<span class="k">def</span> <span class="nf">profile_coordinates</span><span class="p">(</span><span class="n">point1</span><span class="p">,</span> <span class="n">point2</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">extra_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Coordinates for a profile along a straight line between two points.</span>
 
 <span class="sd">    Parameters</span>
@@ -1504,8 +1208,11 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">coordinates</span><span class="p">),</span> <span class="n">distances</span></div>
 
 
-<div class="viewcode-block" id="inside"><a class="viewcode-back" href="../../api/generated/verde.inside.html#verde.inside">[docs]</a><span class="k">def</span> <span class="nf">inside</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">region</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="inside">
+<a class="viewcode-back" href="../../api/generated/verde.inside.html#verde.inside">[docs]</a>
+<span class="k">def</span> <span class="nf">inside</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">region</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Determine which points fall inside a given region.</span>
 
 <span class="sd">    Points at the boundary are counted as being outsize.</span>
@@ -1584,8 +1291,11 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">are_inside</span></div>
 
 
-<div class="viewcode-block" id="block_split"><a class="viewcode-back" href="../../api/generated/verde.block_split.html#verde.block_split">[docs]</a><span class="k">def</span> <span class="nf">block_split</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;spacing&quot;</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="block_split">
+<a class="viewcode-back" href="../../api/generated/verde.block_split.html#verde.block_split">[docs]</a>
+<span class="k">def</span> <span class="nf">block_split</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;spacing&quot;</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Split a region into blocks and label points according to where they fall.</span>
 
 <span class="sd">    The labels are integers corresponding to the index of the block. Also</span>
@@ -1683,10 +1393,13 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">n_1d_arrays</span><span class="p">(</span><span class="n">block_coords</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">block_coords</span><span class="p">)),</span> <span class="n">labels</span></div>
 
 
-<div class="viewcode-block" id="rolling_window"><a class="viewcode-back" href="../../api/generated/verde.rolling_window.html#verde.rolling_window">[docs]</a><span class="k">def</span> <span class="nf">rolling_window</span><span class="p">(</span>
+
+<div class="viewcode-block" id="rolling_window">
+<a class="viewcode-back" href="../../api/generated/verde.rolling_window.html#verde.rolling_window">[docs]</a>
+<span class="k">def</span> <span class="nf">rolling_window</span><span class="p">(</span>
     <span class="n">coordinates</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;spacing&quot;</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Select points on a rolling (moving) window.</span>
 
 <span class="sd">    A window of the given size is moved across the region at a given step</span>
@@ -1941,8 +1654,9 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">centers</span><span class="p">,</span> <span class="n">indices</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_check_rolling_window_overlap</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">spacing</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Warn the user if there is no overlap between neighboring windows.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">shape</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
@@ -1961,8 +1675,10 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
         <span class="p">)</span>
 
 
-<div class="viewcode-block" id="expanding_window"><a class="viewcode-back" href="../../api/generated/verde.expanding_window.html#verde.expanding_window">[docs]</a><span class="k">def</span> <span class="nf">expanding_window</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">sizes</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="expanding_window">
+<a class="viewcode-back" href="../../api/generated/verde.expanding_window.html#verde.expanding_window">[docs]</a>
+<span class="k">def</span> <span class="nf">expanding_window</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">sizes</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Select points on windows of changing size around a center point.</span>
 
 <span class="sd">    Returns the indices of points falling inside each window.</span>
@@ -2117,8 +1833,9 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">indices</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">longitude_continuity</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">region</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Modify coordinates and region boundaries to ensure longitude continuity.</span>
 
 <span class="sd">    Longitudinal boundaries of the region are moved to the ``[0, 360)`` or</span>
@@ -2220,7 +1937,7 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">_check_geographic_region</span><span class="p">(</span><span class="n">region</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check if region is in geographic coordinates are within accepted intervals.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">w</span><span class="p">,</span> <span class="n">e</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="n">n</span> <span class="o">=</span> <span class="n">region</span><span class="p">[:</span><span class="mi">4</span><span class="p">]</span>
@@ -2245,35 +1962,71 @@ <h1>Source code for verde.coordinates</h1><div class="highlight"><pre>
         <span class="p">)</span>
 </pre></div>
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
 </div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
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+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
-    </div>
+  </div>
+  
+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
-      </div>
+      </main>
     </div>
+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/_modules/verde/datasets/sample_data.html b/dev/_modules/verde/datasets/sample_data.html
index 24eb18eec..36bf40cd0 100644
--- a/dev/_modules/verde/datasets/sample_data.html
+++ b/dev/_modules/verde/datasets/sample_data.html
@@ -2,7 +2,9 @@
 
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-     K-Fold cross-validation with blocks
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-     Blocked reduction operations
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-     Using weights in blocked reduction
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-     Using weights in blocked means
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-     Checkerboard function
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-     Mask grid points by convex hull
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-    <a class="reference internal" href="../../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../../api/index.html">
-   List of functions and classes (API)
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../api/generated/verde.Linear.html">
-     verde.Linear
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-    <a class="reference internal" href="../../../api/generated/verde.Cubic.html">
-     verde.Cubic
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
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+      
+      <li><a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2F_modules/verde/datasets/sample_data.html&body=Your%20issue%20content%20here." target="_blank"
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+   title="Open an issue"
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-<span class="headerbtn__icon-container">
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+<span class="btn__text-container">Open issue</span>
 </a>
-
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+</li>
       
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+  class="btn btn-sm btn-fullscreen-button"
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+                  
   <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -776,8 +463,10 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="p">)</span>
 
 
-<div class="viewcode-block" id="locate"><a class="viewcode-back" href="../../../api/generated/verde.datasets.locate.html#verde.datasets.locate">[docs]</a><span class="k">def</span> <span class="nf">locate</span><span class="p">():</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="locate">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.locate.html#verde.datasets.locate">[docs]</a>
+<span class="k">def</span> <span class="nf">locate</span><span class="p">():</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    The absolute path to the sample data storage location on disk.</span>
 
 <span class="sd">    .. warning::</span>
@@ -804,6 +493,7 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">REGISTRY</span><span class="o">.</span><span class="n">abspath</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_setup_map</span><span class="p">(</span>
     <span class="n">ax</span><span class="p">,</span>
     <span class="n">xticks</span><span class="p">,</span>
@@ -812,7 +502,7 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="n">region</span><span class="p">,</span>
     <span class="n">coastlines</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Setup a Cartopy map with coastlines and proper tick labels.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">coastlines</span><span class="p">:</span>
@@ -825,8 +515,10 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">LatitudeFormatter</span><span class="p">())</span>
 
 
-<div class="viewcode-block" id="fetch_baja_bathymetry"><a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_baja_bathymetry.html#verde.datasets.fetch_baja_bathymetry">[docs]</a><span class="k">def</span> <span class="nf">fetch_baja_bathymetry</span><span class="p">():</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="fetch_baja_bathymetry">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_baja_bathymetry.html#verde.datasets.fetch_baja_bathymetry">[docs]</a>
+<span class="k">def</span> <span class="nf">fetch_baja_bathymetry</span><span class="p">():</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fetch sample bathymetry data from Baja California.</span>
 
 <span class="sd">    .. warning::</span>
@@ -859,10 +551,13 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="setup_baja_bathymetry_map"><a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map">[docs]</a><span class="k">def</span> <span class="nf">setup_baja_bathymetry_map</span><span class="p">(</span>
+
+<div class="viewcode-block" id="setup_baja_bathymetry_map">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map">[docs]</a>
+<span class="k">def</span> <span class="nf">setup_baja_bathymetry_map</span><span class="p">(</span>
     <span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="mf">245.0</span><span class="p">,</span> <span class="mf">254.705</span><span class="p">,</span> <span class="mf">20.0</span><span class="p">,</span> <span class="mf">29.99</span><span class="p">),</span> <span class="n">coastlines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Setup a Cartopy map for the Baja California bathymetry dataset.</span>
 
 <span class="sd">    .. warning::</span>
@@ -905,8 +600,11 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="fetch_rio_magnetic"><a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_rio_magnetic.html#verde.datasets.fetch_rio_magnetic">[docs]</a><span class="k">def</span> <span class="nf">fetch_rio_magnetic</span><span class="p">():</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="fetch_rio_magnetic">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_rio_magnetic.html#verde.datasets.fetch_rio_magnetic">[docs]</a>
+<span class="k">def</span> <span class="nf">fetch_rio_magnetic</span><span class="p">():</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fetch total-field magnetic anomaly data from Rio de Janeiro, Brazil.</span>
 
 <span class="sd">    .. warning::</span>
@@ -959,8 +657,11 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="setup_rio_magnetic_map"><a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_rio_magnetic_map.html#verde.datasets.setup_rio_magnetic_map">[docs]</a><span class="k">def</span> <span class="nf">setup_rio_magnetic_map</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mf">42.6</span><span class="p">,</span> <span class="o">-</span><span class="mi">42</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.5</span><span class="p">,</span> <span class="o">-</span><span class="mi">22</span><span class="p">)):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="setup_rio_magnetic_map">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_rio_magnetic_map.html#verde.datasets.setup_rio_magnetic_map">[docs]</a>
+<span class="k">def</span> <span class="nf">setup_rio_magnetic_map</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mf">42.6</span><span class="p">,</span> <span class="o">-</span><span class="mi">42</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.5</span><span class="p">,</span> <span class="o">-</span><span class="mi">22</span><span class="p">)):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Setup a Cartopy map for the Rio de Janeiro magnetic anomaly dataset.</span>
 
 <span class="sd">    .. warning::</span>
@@ -997,8 +698,11 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="fetch_california_gps"><a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_california_gps.html#verde.datasets.fetch_california_gps">[docs]</a><span class="k">def</span> <span class="nf">fetch_california_gps</span><span class="p">():</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="fetch_california_gps">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_california_gps.html#verde.datasets.fetch_california_gps">[docs]</a>
+<span class="k">def</span> <span class="nf">fetch_california_gps</span><span class="p">():</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fetch sample GPS velocity data from California (the U.S. West coast).</span>
 
 <span class="sd">    .. warning::</span>
@@ -1041,10 +745,13 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="setup_california_gps_map"><a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map">[docs]</a><span class="k">def</span> <span class="nf">setup_california_gps_map</span><span class="p">(</span>
+
+<div class="viewcode-block" id="setup_california_gps_map">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map">[docs]</a>
+<span class="k">def</span> <span class="nf">setup_california_gps_map</span><span class="p">(</span>
     <span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="mf">235.2</span><span class="p">,</span> <span class="mf">245.3</span><span class="p">,</span> <span class="mf">31.9</span><span class="p">,</span> <span class="mf">42.3</span><span class="p">),</span> <span class="n">coastlines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Setup a Cartopy map for the California GPS velocity dataset.</span>
 
 <span class="sd">    .. warning::</span>
@@ -1087,8 +794,11 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="fetch_texas_wind"><a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_texas_wind.html#verde.datasets.fetch_texas_wind">[docs]</a><span class="k">def</span> <span class="nf">fetch_texas_wind</span><span class="p">():</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="fetch_texas_wind">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.fetch_texas_wind.html#verde.datasets.fetch_texas_wind">[docs]</a>
+<span class="k">def</span> <span class="nf">fetch_texas_wind</span><span class="p">():</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fetch sample wind speed and air temperature data for Texas, USA.</span>
 
 <span class="sd">    .. warning::</span>
@@ -1123,8 +833,11 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">data</span></div>
 
 
-<div class="viewcode-block" id="setup_texas_wind_map"><a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map">[docs]</a><span class="k">def</span> <span class="nf">setup_texas_wind_map</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">107</span><span class="p">,</span> <span class="o">-</span><span class="mi">93</span><span class="p">,</span> <span class="mf">25.5</span><span class="p">,</span> <span class="mi">37</span><span class="p">),</span> <span class="n">coastlines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="setup_texas_wind_map">
+<a class="viewcode-back" href="../../../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map">[docs]</a>
+<span class="k">def</span> <span class="nf">setup_texas_wind_map</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">107</span><span class="p">,</span> <span class="o">-</span><span class="mi">93</span><span class="p">,</span> <span class="mf">25.5</span><span class="p">,</span> <span class="mi">37</span><span class="p">),</span> <span class="n">coastlines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Setup a Cartopy map for the Texas wind speed and air temperature dataset.</span>
 
 <span class="sd">    .. warning::</span>
@@ -1165,37 +878,74 @@ <h1>Source code for verde.datasets.sample_data</h1><div class="highlight"><pre>
         <span class="n">region</span><span class="o">=</span><span class="n">region</span><span class="p">,</span>
         <span class="n">crs</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
     <span class="p">)</span></div>
+
 </pre></div>
 
-              </div>
+                </article>
               
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-            <footer class="footer-article noprint">
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+  <footer class="bd-footer">
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diff --git a/dev/_modules/verde/distances.html b/dev/_modules/verde/distances.html
index f00559a6a..61b6f0cf4 100644
--- a/dev/_modules/verde/distances.html
+++ b/dev/_modules/verde/distances.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
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-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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   <h1>Source code for verde.distances</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -746,8 +433,10 @@ <h1>Source code for verde.distances</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">kdtree</span>
 
 
-<div class="viewcode-block" id="median_distance"><a class="viewcode-back" href="../../api/generated/verde.median_distance.html#verde.median_distance">[docs]</a><span class="k">def</span> <span class="nf">median_distance</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">k_nearest</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="median_distance">
+<a class="viewcode-back" href="../../api/generated/verde.median_distance.html#verde.median_distance">[docs]</a>
+<span class="k">def</span> <span class="nf">median_distance</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">k_nearest</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Median distance between the *k* nearest neighbors of each point.</span>
 
 <span class="sd">    For each point specified in *coordinates*, calculate the median of the</span>
@@ -842,37 +531,74 @@ <h1>Source code for verde.distances</h1><div class="highlight"><pre>
     <span class="n">k_distances</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">coords</span><span class="p">),</span> <span class="n">k</span><span class="o">=</span><span class="n">k_nearest</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">][:,</span> <span class="mi">1</span><span class="p">:]</span>
     <span class="n">distances</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">k_distances</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="k">return</span> <span class="n">distances</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></div>
+
 </pre></div>
 
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
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-   Grid Coordinates
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-   Trend Estimation
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-   Data Decimation
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-   Geographic Coordinates
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-   Chaining Operations
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-   Evaluating Performance
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-   Model Selection
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-   Using Weights
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-   Vector Data
-  </a>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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-     verde.SplineCV
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.maxabs
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-     verde.grid_to_table
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-     verde.make_xarray_grid
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-    <a class="reference internal" href="../../api/generated/verde.median_distance.html">
-     verde.median_distance
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-    <a class="reference internal" href="../../api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-    <a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.base.check_fit_input
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../citing.html">
-   Citing Verde
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-   References
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
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+      </div>
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+<div class="sbt-scroll-pixel-helper"></div>
 
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+      
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+  
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
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-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
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-                <h1></h1>
-                <!-- Table of contents -->
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-                        
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-            <main id="main-content" role="main">
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+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <h1>Source code for verde.io</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -744,8 +431,10 @@ <h1>Source code for verde.io</h1><div class="highlight"><pre>
 <span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
 
 
-<div class="viewcode-block" id="load_surfer"><a class="viewcode-back" href="../../api/generated/verde.load_surfer.html#verde.load_surfer">[docs]</a><span class="k">def</span> <span class="nf">load_surfer</span><span class="p">(</span><span class="n">fname</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="load_surfer">
+<a class="viewcode-back" href="../../api/generated/verde.load_surfer.html#verde.load_surfer">[docs]</a>
+<span class="k">def</span> <span class="nf">load_surfer</span><span class="p">(</span><span class="n">fname</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Read data from a Surfer ASCII grid file.</span>
 
 <span class="sd">    This function reads a Surfer grid file, masks any NaNs in the data,</span>
@@ -809,8 +498,9 @@ <h1>Source code for verde.io</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">data</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_read_surfer_header</span><span class="p">(</span><span class="n">input_file</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Parse the header record of the grid file.</span>
 
 <span class="sd">    The header contains information on the grid shape, region, and the minimum</span>
@@ -848,7 +538,7 @@ <h1>Source code for verde.io</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">_check_surfer_integrity</span><span class="p">(</span><span class="n">field</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">data_range</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check that the grid matches the information from the header.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="n">field</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">shape</span><span class="p">:</span>
@@ -866,35 +556,71 @@ <h1>Source code for verde.io</h1><div class="highlight"><pre>
         <span class="p">)</span>
 </pre></div>
 
-              </div>
+                </article>
               
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\ No newline at end of file
diff --git a/dev/_modules/verde/mask.html b/dev/_modules/verde/mask.html
index f636d34dd..951d12662 100644
--- a/dev/_modules/verde/mask.html
+++ b/dev/_modules/verde/mask.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
         <title>verde.mask | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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+  
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = '_modules/verde/mask';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
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+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
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+<a class="navbar-brand logo" href="../../index.html">
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-     Splitting data into train and test sets
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-     Polynomial trend
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-     Trends in vector data
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
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-   Grid Coordinates
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-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
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-   Data Decimation
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-   Geographic Coordinates
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-   Chaining Operations
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-   Evaluating Performance
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
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- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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-     verde.profile_coordinates
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-     verde.get_region
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-     verde.pad_region
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-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.maxabs
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.base.n_1d_arrays
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-     verde.base.check_fit_input
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-     verde.base.least_squares
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">
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   <h1>Source code for verde.mask</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -747,10 +434,12 @@ <h1>Source code for verde.mask</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">kdtree</span>
 
 
-<div class="viewcode-block" id="distance_mask"><a class="viewcode-back" href="../../api/generated/verde.distance_mask.html#verde.distance_mask">[docs]</a><span class="k">def</span> <span class="nf">distance_mask</span><span class="p">(</span>
+<div class="viewcode-block" id="distance_mask">
+<a class="viewcode-back" href="../../api/generated/verde.distance_mask.html#verde.distance_mask">[docs]</a>
+<span class="k">def</span> <span class="nf">distance_mask</span><span class="p">(</span>
     <span class="n">data_coordinates</span><span class="p">,</span> <span class="n">maxdist</span><span class="p">,</span> <span class="n">coordinates</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">grid</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="kc">None</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Mask grid points that are too far from the given data points.</span>
 
 <span class="sd">    Distances are Euclidean norms. If using geographic data, provide a</span>
@@ -846,13 +535,16 @@ <h1>Source code for verde.mask</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">mask</span></div>
 
 
-<div class="viewcode-block" id="convexhull_mask"><a class="viewcode-back" href="../../api/generated/verde.convexhull_mask.html#verde.convexhull_mask">[docs]</a><span class="k">def</span> <span class="nf">convexhull_mask</span><span class="p">(</span>
+
+<div class="viewcode-block" id="convexhull_mask">
+<a class="viewcode-back" href="../../api/generated/verde.convexhull_mask.html#verde.convexhull_mask">[docs]</a>
+<span class="k">def</span> <span class="nf">convexhull_mask</span><span class="p">(</span>
     <span class="n">data_coordinates</span><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">grid</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Mask grid points that are outside the convex hull of the given data points.</span>
 
 <span class="sd">    Either *coordinates* or *grid* must be given:</span>
@@ -952,8 +644,9 @@ <h1>Source code for verde.mask</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">mask</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">_get_grid_coordinates</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">grid</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    If coordinates is given, return it and their shape. Otherwise, get</span>
 <span class="sd">    coordinate arrays from the grid.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -967,35 +660,71 @@ <h1>Source code for verde.mask</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">shape</span>
 </pre></div>
 
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+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
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+  <div class="footer-item">
+    <p class="last-updated">
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diff --git a/dev/_modules/verde/model_selection.html b/dev/_modules/verde/model_selection.html
index a53a452b9..8db314ebb 100644
--- a/dev/_modules/verde/model_selection.html
+++ b/dev/_modules/verde/model_selection.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
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     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
         <title>verde.model_selection | Verde dev</title>
     
 
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+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
+
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+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
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+  
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
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+    <script>DOCUMENTATION_OPTIONS.pagename = '_modules/verde/model_selection';</script>
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-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
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+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
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+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
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+  <input type="checkbox"
+          class="sidebar-toggle"
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+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
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-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
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-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
-      
-      
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
+        
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
-  <i class="icon fas fa-search"></i>
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-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
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+  <div class="sidebar-header-items sidebar-primary__section">
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+    
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+  </div>
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
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+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/overview.html">
-   Overview
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../install.html">
-   Installing
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- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../gallery/index.html">
-   Gallery
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../api/index.html">
-   List of functions and classes (API)
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   <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -753,8 +440,10 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">dispatch</span><span class="p">,</span> <span class="n">partition_by_sum</span>
 
 
-<div class="viewcode-block" id="BlockShuffleSplit"><a class="viewcode-back" href="../../api/generated/verde.BlockShuffleSplit.html#verde.BlockShuffleSplit">[docs]</a><span class="k">class</span> <span class="nc">BlockShuffleSplit</span><span class="p">(</span><span class="n">BaseBlockCrossValidator</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="BlockShuffleSplit">
+<a class="viewcode-back" href="../../api/generated/verde.BlockShuffleSplit.html#verde.BlockShuffleSplit">[docs]</a>
+<span class="k">class</span> <span class="nc">BlockShuffleSplit</span><span class="p">(</span><span class="n">BaseBlockCrossValidator</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Random permutation of spatial blocks cross-validator.</span>
 
 <span class="sd">    Yields indices to split data into training and test sets. Data are first</span>
@@ -889,7 +578,7 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">balancing</span> <span class="o">=</span> <span class="n">balancing</span>
 
     <span class="k">def</span> <span class="nf">_iter_test_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: N803,U100</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Generates integer indices corresponding to test sets.</span>
 
 <span class="sd">        Runs several iterations until a split is found that yields blocks with</span>
@@ -948,8 +637,11 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
             <span class="k">yield</span> <span class="n">test_sets</span><span class="p">[</span><span class="n">best</span><span class="p">]</span></div>
 
 
-<div class="viewcode-block" id="BlockKFold"><a class="viewcode-back" href="../../api/generated/verde.BlockKFold.html#verde.BlockKFold">[docs]</a><span class="k">class</span> <span class="nc">BlockKFold</span><span class="p">(</span><span class="n">BaseBlockCrossValidator</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BlockKFold">
+<a class="viewcode-back" href="../../api/generated/verde.BlockKFold.html#verde.BlockKFold">[docs]</a>
+<span class="k">class</span> <span class="nc">BlockKFold</span><span class="p">(</span><span class="n">BaseBlockCrossValidator</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    K-Folds over spatial blocks cross-validator.</span>
 
 <span class="sd">    Yields indices to split data into training and test sets. Data are first</span>
@@ -1097,7 +789,7 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">balance</span> <span class="o">=</span> <span class="n">balance</span>
 
     <span class="k">def</span> <span class="nf">_iter_test_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa: N803,U100</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Generates integer indices corresponding to test sets.</span>
 
 <span class="sd">        Parameters</span>
@@ -1156,10 +848,13 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
             <span class="k">yield</span> <span class="n">test_points</span></div>
 
 
-<div class="viewcode-block" id="train_test_split"><a class="viewcode-back" href="../../api/generated/verde.train_test_split.html#verde.train_test_split">[docs]</a><span class="k">def</span> <span class="nf">train_test_split</span><span class="p">(</span>
+
+<div class="viewcode-block" id="train_test_split">
+<a class="viewcode-back" href="../../api/generated/verde.train_test_split.html#verde.train_test_split">[docs]</a>
+<span class="k">def</span> <span class="nf">train_test_split</span><span class="p">(</span>
     <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span>
 <span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Split a dataset into a training and a testing set for cross-validation.</span>
 
 <span class="sd">    Similar to :func:`sklearn.model_selection.train_test_split` but is tuned to</span>
@@ -1312,7 +1007,10 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">train</span><span class="p">,</span> <span class="n">test</span></div>
 
 
-<div class="viewcode-block" id="cross_val_score"><a class="viewcode-back" href="../../api/generated/verde.cross_val_score.html#verde.cross_val_score">[docs]</a><span class="k">def</span> <span class="nf">cross_val_score</span><span class="p">(</span>
+
+<div class="viewcode-block" id="cross_val_score">
+<a class="viewcode-back" href="../../api/generated/verde.cross_val_score.html#verde.cross_val_score">[docs]</a>
+<span class="k">def</span> <span class="nf">cross_val_score</span><span class="p">(</span>
     <span class="n">estimator</span><span class="p">,</span>
     <span class="n">coordinates</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
@@ -1322,7 +1020,7 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
     <span class="n">delayed</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="n">scoring</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Score an estimator/gridder using cross-validation.</span>
 
 <span class="sd">    Similar to :func:`sklearn.model_selection.cross_val_score` but modified to</span>
@@ -1508,8 +1206,9 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">scores</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">fit_score</span><span class="p">(</span><span class="n">estimator</span><span class="p">,</span> <span class="n">train_data</span><span class="p">,</span> <span class="n">test_data</span><span class="p">,</span> <span class="n">scoring</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fit an estimator on the training data and then score it on the testing data</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">estimator</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">train_data</span><span class="p">)</span>
@@ -1521,7 +1220,7 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">select</span><span class="p">(</span><span class="n">arrays</span><span class="p">,</span> <span class="n">index</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Index each array in a tuple of arrays.</span>
 
 <span class="sd">    If the arrays tuple contains a ``None``, the entire tuple will be returned</span>
@@ -1553,35 +1252,71 @@ <h1>Source code for verde.model_selection</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">i</span><span class="o">.</span><span class="n">ravel</span><span class="p">()[</span><span class="n">index</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">arrays</span><span class="p">)</span>
 </pre></div>
 
-              </div>
+                </article>
               
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diff --git a/dev/_modules/verde/neighbors.html b/dev/_modules/verde/neighbors.html
index 9518bd9b1..44207e8ed 100644
--- a/dev/_modules/verde/neighbors.html
+++ b/dev/_modules/verde/neighbors.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
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+
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     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
@@ -10,726 +12,411 @@
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Trend Estimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
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-     verde.profile_coordinates
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-     verde.get_region
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-     verde.pad_region
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-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.maxabs
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.base.n_1d_arrays
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-     verde.base.check_fit_input
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   <h1>Source code for verde.neighbors</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -750,8 +437,10 @@ <h1>Source code for verde.neighbors</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">kdtree</span>
 
 
-<div class="viewcode-block" id="KNeighbors"><a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors">[docs]</a><span class="k">class</span> <span class="nc">KNeighbors</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="KNeighbors">
+<a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors">[docs]</a>
+<span class="k">class</span> <span class="nc">KNeighbors</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Nearest neighbor interpolation.</span>
 
 <span class="sd">    This gridder assumes Cartesian coordinates.</span>
@@ -800,8 +489,10 @@ <h1>Source code for verde.neighbors</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">k</span> <span class="o">=</span> <span class="n">k</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">reduction</span> <span class="o">=</span> <span class="n">reduction</span>
 
-<div class="viewcode-block" id="KNeighbors.fit"><a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="KNeighbors.fit">
+<a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the interpolator to the given data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -841,8 +532,11 @@ <h1>Source code for verde.neighbors</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">data_</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="KNeighbors.predict"><a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="KNeighbors.predict">
+<a class="viewcode-back" href="../../api/generated/verde.KNeighbors.html#verde.KNeighbors.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Interpolate data on the given set of points.</span>
 
 <span class="sd">        Requires a fitted gridder (see :meth:`~verde.KNeighbors.fit`).</span>
@@ -870,38 +564,76 @@ <h1>Source code for verde.neighbors</h1><div class="highlight"><pre>
         <span class="n">neighbor_values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data_</span><span class="p">[</span><span class="n">indices</span><span class="o">.</span><span class="n">ravel</span><span class="p">()],</span> <span class="n">indices</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
         <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">reduction</span><span class="p">(</span><span class="n">neighbor_values</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
         <span class="n">shape</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">broadcast</span><span class="p">(</span><span class="o">*</span><span class="n">coordinates</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span><span class="o">.</span><span class="n">shape</span>
-        <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></div>
+</div>
+
 </pre></div>
 
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diff --git a/dev/_modules/verde/projections.html b/dev/_modules/verde/projections.html
index bec996e92..2d131755b 100644
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
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   <h1>Source code for verde.projections</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -751,8 +438,10 @@ <h1>Source code for verde.projections</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">grid_to_table</span>
 
 
-<div class="viewcode-block" id="project_region"><a class="viewcode-back" href="../../api/generated/verde.project_region.html#verde.project_region">[docs]</a><span class="k">def</span> <span class="nf">project_region</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">projection</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="project_region">
+<a class="viewcode-back" href="../../api/generated/verde.project_region.html#verde.project_region">[docs]</a>
+<span class="k">def</span> <span class="nf">project_region</span><span class="p">(</span><span class="n">region</span><span class="p">,</span> <span class="n">projection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Calculate the bounding box of a region in projected coordinates.</span>
 
 <span class="sd">    Parameters</span>
@@ -785,8 +474,11 @@ <h1>Source code for verde.projections</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="p">(</span><span class="n">east</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">east</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">north</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">north</span><span class="o">.</span><span class="n">max</span><span class="p">())</span></div>
 
 
-<div class="viewcode-block" id="project_grid"><a class="viewcode-back" href="../../api/generated/verde.project_grid.html#verde.project_grid">[docs]</a><span class="k">def</span> <span class="nf">project_grid</span><span class="p">(</span><span class="n">grid</span><span class="p">,</span> <span class="n">projection</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;linear&quot;</span><span class="p">,</span> <span class="n">antialias</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="project_grid">
+<a class="viewcode-back" href="../../api/generated/verde.project_grid.html#verde.project_grid">[docs]</a>
+<span class="k">def</span> <span class="nf">project_grid</span><span class="p">(</span><span class="n">grid</span><span class="p">,</span> <span class="n">projection</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;linear&quot;</span><span class="p">,</span> <span class="n">antialias</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Apply the given map projection to a grid and re-sample it.</span>
 
 <span class="sd">    Creates a new grid in the projected coordinates by interpolating the</span>
@@ -906,37 +598,74 @@ <h1>Source code for verde.projections</h1><div class="highlight"><pre>
     <span class="p">)</span>
     <span class="n">projected</span> <span class="o">=</span> <span class="n">convexhull_mask</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">grid</span><span class="o">=</span><span class="n">projected</span><span class="p">)</span>
     <span class="k">return</span> <span class="n">projected</span><span class="p">[</span><span class="n">name</span><span class="p">]</span></div>
+
 </pre></div>
 
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diff --git a/dev/_modules/verde/scipygridder.html b/dev/_modules/verde/scipygridder.html
index da87332d9..db7062b84 100644
--- a/dev/_modules/verde/scipygridder.html
+++ b/dev/_modules/verde/scipygridder.html
@@ -2,7 +2,9 @@
 
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+
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-     Polynomial trend
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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- <li class="toctree-l1">
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-   Grid Coordinates
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-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
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-   Data Decimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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-     verde.pad_region
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-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-     verde.maxabs
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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   <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -756,7 +443,7 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
 
 
 <span class="k">class</span> <span class="nc">_BaseScipyGridder</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    A scipy.interpolate base gridder for scalar Cartesian data.</span>
 
 <span class="sd">    Used as a base class for each of the SciPy ND based interpolators.</span>
@@ -775,13 +462,13 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
 
     <span class="nd">@abstractmethod</span>
     <span class="k">def</span> <span class="nf">_get_interpolator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Return the SciPy interpolator class and any extra keyword arguments as</span>
 <span class="sd">        a dictionary.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the interpolator to the given data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -821,7 +508,7 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="bp">self</span>
 
     <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Interpolate data on the given set of points.</span>
 
 <span class="sd">        Requires a fitted gridder (see :meth:`~verde._BaseScipyGridder.fit`).</span>
@@ -845,8 +532,10 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">interpolator_</span><span class="p">((</span><span class="n">easting</span><span class="p">,</span> <span class="n">northing</span><span class="p">))</span>
 
 
-<div class="viewcode-block" id="Linear"><a class="viewcode-back" href="../../api/generated/verde.Linear.html#verde.Linear">[docs]</a><span class="k">class</span> <span class="nc">Linear</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Linear">
+<a class="viewcode-back" href="../../api/generated/verde.Linear.html#verde.Linear">[docs]</a>
+<span class="k">class</span> <span class="nc">Linear</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Piecewise linear interpolation.</span>
 
 <span class="sd">    Provides a Verde interface to</span>
@@ -875,15 +564,18 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">rescale</span> <span class="o">=</span> <span class="n">rescale</span>
 
     <span class="k">def</span> <span class="nf">_get_interpolator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Return the SciPy interpolator class and any extra keyword arguments as</span>
 <span class="sd">        a dictionary.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">LinearNDInterpolator</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;rescale&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">rescale</span><span class="p">}</span></div>
 
 
-<div class="viewcode-block" id="Cubic"><a class="viewcode-back" href="../../api/generated/verde.Cubic.html#verde.Cubic">[docs]</a><span class="k">class</span> <span class="nc">Cubic</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Cubic">
+<a class="viewcode-back" href="../../api/generated/verde.Cubic.html#verde.Cubic">[docs]</a>
+<span class="k">class</span> <span class="nc">Cubic</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Piecewise cubic interpolation.</span>
 
 <span class="sd">    Provides a Verde interface to</span>
@@ -912,15 +604,18 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">rescale</span> <span class="o">=</span> <span class="n">rescale</span>
 
     <span class="k">def</span> <span class="nf">_get_interpolator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Return the SciPy interpolator class and any extra keyword arguments as</span>
 <span class="sd">        a dictionary.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">CloughTocher2DInterpolator</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;rescale&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">rescale</span><span class="p">}</span></div>
 
 
-<div class="viewcode-block" id="ScipyGridder"><a class="viewcode-back" href="../../api/generated/verde.ScipyGridder.html#verde.ScipyGridder">[docs]</a><span class="k">class</span> <span class="nc">ScipyGridder</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="ScipyGridder">
+<a class="viewcode-back" href="../../api/generated/verde.ScipyGridder.html#verde.ScipyGridder">[docs]</a>
+<span class="k">class</span> <span class="nc">ScipyGridder</span><span class="p">(</span><span class="n">_BaseScipyGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    A scipy.interpolate based gridder for scalar Cartesian data.</span>
 
 <span class="sd">    .. warning::</span>
@@ -967,7 +662,7 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">_get_interpolator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Return the SciPy interpolator class and any extra keyword arguments as</span>
 <span class="sd">        a dictionary.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
@@ -987,37 +682,74 @@ <h1>Source code for verde.scipygridder</h1><div class="highlight"><pre>
         <span class="k">else</span><span class="p">:</span>
             <span class="n">kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">extra_args</span>
         <span class="k">return</span> <span class="n">classes</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">method</span><span class="p">],</span> <span class="n">kwargs</span></div>
+
 </pre></div>
 
-              </div>
+                </article>
               
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\ No newline at end of file
diff --git a/dev/_modules/verde/spline.html b/dev/_modules/verde/spline.html
index e0d4c6f6f..d0f53346b 100644
--- a/dev/_modules/verde/spline.html
+++ b/dev/_modules/verde/spline.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
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+
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@@ -10,726 +12,411 @@
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-     Gridding with splines and weights
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-     Splitting data into train and test sets
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+</li>
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-   Trend Estimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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- <li class="toctree-l1">
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-   Citing Verde
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
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   <h1>Source code for verde.spline</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -759,8 +446,10 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
     <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">dummy_jit</span> <span class="k">as</span> <span class="n">jit</span>
 
 
-<div class="viewcode-block" id="SplineCV"><a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV">[docs]</a><span class="k">class</span> <span class="nc">SplineCV</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="SplineCV">
+<a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV">[docs]</a>
+<span class="k">class</span> <span class="nc">SplineCV</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Cross-validated biharmonic spline interpolation.</span>
 
 <span class="sd">    Similar to :class:`verde.Spline` but automatically chooses the best</span>
@@ -913,8 +602,10 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
                 <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
             <span class="p">)</span>
 
-<div class="viewcode-block" id="SplineCV.fit"><a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="SplineCV.fit">
+<a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the spline to the given data and automatically tune parameters.</span>
 
 <span class="sd">        For each combination of the parameters given, computes the mean cross</span>
@@ -996,6 +687,7 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">scores_</span> <span class="o">=</span> <span class="n">scores</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
+
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">force_</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="s2">&quot;The estimated forces that fit the data.&quot;</span>
@@ -1021,8 +713,10 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
         <span class="s2">&quot;The optimal force locations&quot;</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">spline_</span><span class="o">.</span><span class="n">force_coords_</span>
 
-<div class="viewcode-block" id="SplineCV.predict"><a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="SplineCV.predict">
+<a class="viewcode-back" href="../../api/generated/verde.SplineCV.html#verde.SplineCV.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate the best estimated spline on the given set of points.</span>
 
 <span class="sd">        Requires a fitted estimator (see :meth:`~verde.SplineCV.fit`).</span>
@@ -1042,11 +736,15 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
 
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="n">check_is_fitted</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;spline_&quot;</span><span class="p">])</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">spline_</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">spline_</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span></div>
+</div>
 
 
-<div class="viewcode-block" id="Spline"><a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline">[docs]</a><span class="k">class</span> <span class="nc">Spline</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Spline">
+<a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline">[docs]</a>
+<span class="k">class</span> <span class="nc">Spline</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Biharmonic spline interpolation using Green&#39;s functions.</span>
 
 <span class="sd">    This gridder assumes Cartesian coordinates.</span>
@@ -1156,8 +854,10 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
                 <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
             <span class="p">)</span>
 
-<div class="viewcode-block" id="Spline.fit"><a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Spline.fit">
+<a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the biharmonic spline to the given data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -1196,8 +896,11 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">force_</span> <span class="o">=</span> <span class="n">least_squares</span><span class="p">(</span><span class="n">jacobian</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">damping</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="Spline.predict"><a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Spline.predict">
+<a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate the estimated spline on the given set of points.</span>
 
 <span class="sd">        Requires a fitted estimator (see :meth:`~verde.Spline.fit`).</span>
@@ -1231,8 +934,11 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
             <span class="p">)</span>
         <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Spline.jacobian"><a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.jacobian">[docs]</a>    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">force_coords</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Spline.jacobian">
+<a class="viewcode-back" href="../../api/generated/verde.Spline.html#verde.Spline.jacobian">[docs]</a>
+    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">force_coords</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Make the Jacobian matrix for the 2D biharmonic spline.</span>
 
 <span class="sd">        Each column of the Jacobian is the Green&#39;s function for a single force</span>
@@ -1268,11 +974,13 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
             <span class="n">jac</span> <span class="o">=</span> <span class="n">jacobian_numpy</span><span class="p">(</span>
                 <span class="n">east</span><span class="p">,</span> <span class="n">north</span><span class="p">,</span> <span class="n">force_east</span><span class="p">,</span> <span class="n">force_north</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mindist</span><span class="p">,</span> <span class="n">jac</span>
             <span class="p">)</span>
-        <span class="k">return</span> <span class="n">jac</span></div></div>
+        <span class="k">return</span> <span class="n">jac</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">warn_weighted_exact_solution</span><span class="p">(</span><span class="n">spline</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Warn the user that a weights doesn&#39;t work for the exact solution.</span>
 
 <span class="sd">    Parameters</span>
@@ -1383,35 +1091,71 @@ <h1>Source code for verde.spline</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">jac</span>
 </pre></div>
 
-              </div>
+                </article>
               
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diff --git a/dev/_modules/verde/synthetic.html b/dev/_modules/verde/synthetic.html
index 1439cd62d..99d4f23be 100644
--- a/dev/_modules/verde/synthetic.html
+++ b/dev/_modules/verde/synthetic.html
@@ -2,7 +2,9 @@
 
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
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   <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -746,8 +433,10 @@ <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.coordinates</span> <span class="kn">import</span> <span class="n">check_region</span><span class="p">,</span> <span class="n">scatter_points</span>
 
 
-<div class="viewcode-block" id="CheckerBoard"><a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard">[docs]</a><span class="k">class</span> <span class="nc">CheckerBoard</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="CheckerBoard">
+<a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard">[docs]</a>
+<span class="k">class</span> <span class="nc">CheckerBoard</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Generate synthetic data in a checkerboard pattern.</span>
 
 <span class="sd">    The mathematical model is:</span>
@@ -824,8 +513,10 @@ <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
         <span class="n">check_region</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">region</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">region</span>
 
-<div class="viewcode-block" id="CheckerBoard.predict"><a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="CheckerBoard.predict">
+<a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate the checkerboard function on a given set of points.</span>
 
 <span class="sd">        Parameters</span>
@@ -850,7 +541,10 @@ <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
         <span class="p">)</span>
         <span class="k">return</span> <span class="n">data</span></div>
 
-<div class="viewcode-block" id="CheckerBoard.scatter"><a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.scatter">[docs]</a>    <span class="k">def</span> <span class="nf">scatter</span><span class="p">(</span>
+
+<div class="viewcode-block" id="CheckerBoard.scatter">
+<a class="viewcode-back" href="../../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.scatter">[docs]</a>
+    <span class="k">def</span> <span class="nf">scatter</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
         <span class="n">region</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="n">size</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
@@ -860,7 +554,7 @@ <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
         <span class="n">projection</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
     <span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Generate values on a random scatter of points.</span>
 
 <span class="sd">        Point coordinates are generated by :func:`verde.scatter_points`. Other</span>
@@ -927,38 +621,76 @@ <h1>Source code for verde.synthetic</h1><div class="highlight"><pre>
         <span class="n">extra_coords_names</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_extra_coords_names</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span>
         <span class="n">columns</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">extra_coords_names</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">[</span><span class="mi">2</span><span class="p">:]))</span>
         <span class="n">columns</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">data_names</span><span class="p">,</span> <span class="n">data</span><span class="p">))</span>
-        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">columns</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">])</span></div></div>
+        <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">columns</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="n">c</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">])</span></div>
+</div>
+
 </pre></div>
 
-              </div>
+                </article>
               
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diff --git a/dev/_modules/verde/trend.html b/dev/_modules/verde/trend.html
index 092e97ce4..dc48bbae8 100644
--- a/dev/_modules/verde/trend.html
+++ b/dev/_modules/verde/trend.html
@@ -2,7 +2,9 @@
 
 <!DOCTYPE html>
 
-<html>
+
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+
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@@ -10,726 +12,411 @@
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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- <li class="toctree-l1">
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-   Grid Coordinates
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-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
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 </ul>
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-     verde.pad_region
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-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.maxabs
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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   <h1>Source code for verde.trend</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -747,8 +434,10 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.coordinates</span> <span class="kn">import</span> <span class="n">get_region</span>
 
 
-<div class="viewcode-block" id="Trend"><a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend">[docs]</a><span class="k">class</span> <span class="nc">Trend</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Trend">
+<a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend">[docs]</a>
+<span class="k">class</span> <span class="nc">Trend</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fit a 2D polynomial trend to spatial data.</span>
 
 <span class="sd">    The polynomial of degree :math:`N` is defined as:</span>
@@ -833,8 +522,10 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">degree</span> <span class="o">=</span> <span class="n">degree</span>
 
-<div class="viewcode-block" id="Trend.fit"><a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Trend.fit">
+<a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the trend to the given data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -868,8 +559,11 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">coef_</span> <span class="o">=</span> <span class="n">least_squares</span><span class="p">(</span><span class="n">jac</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="n">damping</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="Trend.predict"><a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Trend.predict">
+<a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate the polynomial trend on the given set of points.</span>
 
 <span class="sd">        Requires a fitted estimator (see :meth:`~verde.Trend.fit`).</span>
@@ -897,8 +591,11 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
             <span class="n">data</span> <span class="o">+=</span> <span class="p">(</span><span class="n">easting</span><span class="o">**</span><span class="n">i</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">northing</span><span class="o">**</span><span class="n">j</span><span class="p">)</span> <span class="o">*</span> <span class="n">coef</span>
         <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="Trend.jacobian"><a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.jacobian">[docs]</a>    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Trend.jacobian">
+<a class="viewcode-back" href="../../api/generated/verde.Trend.html#verde.Trend.jacobian">[docs]</a>
+    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Make the Jacobian matrix for a 2D polynomial.</span>
 
 <span class="sd">        Each column of the Jacobian is ``easting**i * northing**j`` for each</span>
@@ -948,11 +645,13 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
         <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">ndata</span><span class="p">,</span> <span class="n">nparams</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span>
         <span class="k">for</span> <span class="n">col</span><span class="p">,</span> <span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">combinations</span><span class="p">):</span>
             <span class="n">out</span><span class="p">[:,</span> <span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">easting</span><span class="o">**</span><span class="n">i</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">northing</span><span class="o">**</span><span class="n">j</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">out</span></div></div>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">polynomial_power_combinations</span><span class="p">(</span><span class="n">degree</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Combinations of powers for a 2D polynomial of a given degree.</span>
 
 <span class="sd">    Produces the (i, j) pairs to evaluate the polynomial with ``x**i*y**j``.</span>
@@ -988,35 +687,71 @@ <h1>Source code for verde.trend</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="n">combinations</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="nb">sum</span><span class="p">))</span>
 </pre></div>
 
-              </div>
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diff --git a/dev/_modules/verde/utils.html b/dev/_modules/verde/utils.html
index eb7e649fb..77c15f6eb 100644
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+++ b/dev/_modules/verde/utils.html
@@ -2,7 +2,9 @@
 
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+</li>
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-   Trend Estimation
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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- <li class="toctree-l1">
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-   Citing Verde
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
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   <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -768,7 +455,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">dispatch</span><span class="p">(</span><span class="n">function</span><span class="p">,</span> <span class="n">delayed</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">client</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Decide how to wrap a function for Dask depending on the options given.</span>
 
 <span class="sd">    Parameters</span>
@@ -795,7 +482,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">parse_engine</span><span class="p">(</span><span class="n">engine</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Choose the best engine available and check if it&#39;s valid.</span>
 
 <span class="sd">    Parameters</span>
@@ -821,7 +508,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">dummy_jit</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>  <span class="c1"># noqa: U100</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Replace numba.jit if not installed with a function that raises RunTimeError</span>
 
 <span class="sd">    Use as a decorator.</span>
@@ -852,8 +539,10 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">dummy_decorator</span>
 
 
-<div class="viewcode-block" id="variance_to_weights"><a class="viewcode-back" href="../../api/generated/verde.variance_to_weights.html#verde.variance_to_weights">[docs]</a><span class="k">def</span> <span class="nf">variance_to_weights</span><span class="p">(</span><span class="n">variance</span><span class="p">,</span> <span class="n">tol</span><span class="o">=</span><span class="mf">1e-15</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="variance_to_weights">
+<a class="viewcode-back" href="../../api/generated/verde.variance_to_weights.html#verde.variance_to_weights">[docs]</a>
+<span class="k">def</span> <span class="nf">variance_to_weights</span><span class="p">(</span><span class="n">variance</span><span class="p">,</span> <span class="n">tol</span><span class="o">=</span><span class="mf">1e-15</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Converts data variances to weights for gridding.</span>
 
 <span class="sd">    Weights are defined as the inverse of the variance, scaled to the range</span>
@@ -909,8 +598,11 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">weights</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="maxabs"><a class="viewcode-back" href="../../api/generated/verde.maxabs.html#verde.maxabs">[docs]</a><span class="k">def</span> <span class="nf">maxabs</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="n">nan</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="maxabs">
+<a class="viewcode-back" href="../../api/generated/verde.maxabs.html#verde.maxabs">[docs]</a>
+<span class="k">def</span> <span class="nf">maxabs</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="n">nan</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Calculate the maximum absolute value of the given array(s).</span>
 
 <span class="sd">    Use this to set the limits of your colorbars and center them on zero.</span>
@@ -953,14 +645,17 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">npmax</span><span class="p">(</span><span class="n">absolute</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="make_xarray_grid"><a class="viewcode-back" href="../../api/generated/verde.make_xarray_grid.html#verde.make_xarray_grid">[docs]</a><span class="k">def</span> <span class="nf">make_xarray_grid</span><span class="p">(</span>
+
+<div class="viewcode-block" id="make_xarray_grid">
+<a class="viewcode-back" href="../../api/generated/verde.make_xarray_grid.html#verde.make_xarray_grid">[docs]</a>
+<span class="k">def</span> <span class="nf">make_xarray_grid</span><span class="p">(</span>
     <span class="n">coordinates</span><span class="p">,</span>
     <span class="n">data</span><span class="p">,</span>
     <span class="n">data_names</span><span class="p">,</span>
     <span class="n">dims</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;northing&quot;</span><span class="p">,</span> <span class="s2">&quot;easting&quot;</span><span class="p">),</span>
     <span class="n">extra_coords_names</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
 <span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Create an :class:`xarray.Dataset` grid from 2D numpy arrays</span>
 
 <span class="sd">    This function creates an :class:`xarray.Dataset` out of 2d gridded data</span>
@@ -1105,8 +800,9 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">data_vars</span><span class="p">,</span> <span class="n">coords</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">meshgrid_to_1d</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convert horizontal coordinates of 2d grids into 1d-arrays</span>
 
 <span class="sd">    Parameters</span>
@@ -1154,7 +850,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">meshgrid_from_1d</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convert horizontal coordinates of 2d grids from 1d-arrays to 2d-arrays</span>
 
 <span class="sd">    Parameters</span>
@@ -1212,7 +908,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">get_ndim_horizontal_coords</span><span class="p">(</span><span class="n">easting</span><span class="p">,</span> <span class="n">northing</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Return the number of dimensions of the horizontal coordinates arrays</span>
 
 <span class="sd">    Also check if the two horizontal coordinates arrays same dimensions.</span>
@@ -1240,7 +936,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">check_meshgrid</span><span class="p">(</span><span class="n">coordinates</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Check if the given horizontal coordinates define a meshgrid</span>
 
 <span class="sd">    Check if the rows of the easting 2d-array are identical. Check if the</span>
@@ -1271,8 +967,10 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
 
 
-<div class="viewcode-block" id="grid_to_table"><a class="viewcode-back" href="../../api/generated/verde.grid_to_table.html#verde.grid_to_table">[docs]</a><span class="k">def</span> <span class="nf">grid_to_table</span><span class="p">(</span><span class="n">grid</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="grid_to_table">
+<a class="viewcode-back" href="../../api/generated/verde.grid_to_table.html#verde.grid_to_table">[docs]</a>
+<span class="k">def</span> <span class="nf">grid_to_table</span><span class="p">(</span><span class="n">grid</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Convert a grid to a table with the values and coordinates of each point.</span>
 
 <span class="sd">    Takes a 2D grid as input, extracts the coordinates and runs them through</span>
@@ -1375,8 +1073,9 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data_dict</span><span class="p">)</span></div>
 
 
+
 <span class="k">def</span> <span class="nf">kdtree</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">use_pykdtree</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Create a KD-Tree object with the given coordinate arrays.</span>
 
 <span class="sd">    Automatically transposes and flattens the coordinate arrays into a single</span>
@@ -1415,7 +1114,7 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">partition_by_sum</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="n">parts</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Partition an array into parts of approximately equal sum.</span>
 
 <span class="sd">    Does not change the order of the array elements.</span>
@@ -1532,35 +1231,71 @@ <h1>Source code for verde.utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">indices</span>
 </pre></div>
 
-              </div>
+                </article>
               
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diff --git a/dev/_modules/verde/vector.html b/dev/_modules/verde/vector.html
index 397398027..a6085d508 100644
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.get_region.html">verde.get_region</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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 </div>
+              
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+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
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-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
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-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <h1>Source code for verde.vector</h1><div class="highlight"><pre>
 <span></span><span class="c1"># Copyright (c) 2017 The Verde Developers.</span>
 <span class="c1"># Distributed under the terms of the BSD 3-Clause License.</span>
@@ -758,8 +445,10 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
     <span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">dummy_jit</span> <span class="k">as</span> <span class="n">jit</span>
 
 
-<div class="viewcode-block" id="Vector"><a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector">[docs]</a><span class="k">class</span> <span class="nc">Vector</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Vector">
+<a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector">[docs]</a>
+<span class="k">class</span> <span class="nc">Vector</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Fit an estimator to each component of multi-component vector data.</span>
 
 <span class="sd">    Provides a convenient way of fitting and gridding vector data using scalar</span>
@@ -803,8 +492,10 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">components</span> <span class="o">=</span> <span class="n">components</span>
 
-<div class="viewcode-block" id="Vector.fit"><a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="Vector.fit">
+<a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the estimators to the given multi-component data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -848,8 +539,11 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
             <span class="n">estimator</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">coordinates</span><span class="p">,</span> <span class="n">data_comp</span><span class="p">,</span> <span class="n">weight_comp</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="Vector.predict"><a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Vector.predict">
+<a class="viewcode-back" href="../../api/generated/verde.Vector.html#verde.Vector.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate each data component on a set of points.</span>
 
 <span class="sd">        Requires a fitted estimator (see :meth:`~verde.Vector.fit`).</span>
@@ -871,11 +565,15 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
 
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="n">check_is_fitted</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;region_&quot;</span><span class="p">])</span>
-        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">comp</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span> <span class="k">for</span> <span class="n">comp</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">components</span><span class="p">)</span></div></div>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">comp</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span> <span class="k">for</span> <span class="n">comp</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">components</span><span class="p">)</span></div>
+</div>
 
 
-<div class="viewcode-block" id="VectorSpline2D"><a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D">[docs]</a><span class="k">class</span> <span class="nc">VectorSpline2D</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="VectorSpline2D">
+<a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D">[docs]</a>
+<span class="k">class</span> <span class="nc">VectorSpline2D</span><span class="p">(</span><span class="n">BaseGridder</span><span class="p">):</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Elastically coupled interpolation of 2-component vector data.</span>
 
 <span class="sd">    This gridder assumes Cartesian coordinates.</span>
@@ -969,8 +667,10 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
                 <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
             <span class="p">)</span>
 
-<div class="viewcode-block" id="VectorSpline2D.fit"><a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.fit">[docs]</a>    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+<div class="viewcode-block" id="VectorSpline2D.fit">
+<a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.fit">[docs]</a>
+    <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fit the gridder to the given 2-component vector data.</span>
 
 <span class="sd">        The data region is captured and used as default for the</span>
@@ -1021,8 +721,11 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">force_</span> <span class="o">=</span> <span class="n">least_squares</span><span class="p">(</span><span class="n">jacobian</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">damping</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span></div>
 
-<div class="viewcode-block" id="VectorSpline2D.predict"><a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="VectorSpline2D.predict">
+<a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.predict">[docs]</a>
+    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Evaluate the fitted gridder on the given set of points.</span>
 
 <span class="sd">        Requires a fitted estimator (see :meth:`~verde.VectorSpline2D.fit`).</span>
@@ -1077,8 +780,11 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
             <span class="p">)</span>
         <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">comp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">cast</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="k">for</span> <span class="n">comp</span> <span class="ow">in</span> <span class="n">components</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="VectorSpline2D.jacobian"><a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.jacobian">[docs]</a>    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">force_coords</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
-        <span class="sd">&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="VectorSpline2D.jacobian">
+<a class="viewcode-back" href="../../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.jacobian">[docs]</a>
+    <span class="k">def</span> <span class="nf">jacobian</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">force_coords</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float64&quot;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Make the Jacobian matrix for the 2D coupled elastic deformation.</span>
 
 <span class="sd">        The Jacobian is segmented into 4 parts, each relating a force component</span>
@@ -1120,7 +826,9 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
             <span class="n">jac</span> <span class="o">=</span> <span class="n">jacobian_2d_numpy</span><span class="p">(</span>
                 <span class="n">east</span><span class="p">,</span> <span class="n">north</span><span class="p">,</span> <span class="n">force_east</span><span class="p">,</span> <span class="n">force_north</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mindist</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">poisson</span><span class="p">,</span> <span class="n">jac</span>
             <span class="p">)</span>
-        <span class="k">return</span> <span class="n">jac</span></div></div>
+        <span class="k">return</span> <span class="n">jac</span></div>
+</div>
+
 
 
 <span class="k">def</span> <span class="nf">greens_func_2d</span><span class="p">(</span><span class="n">east</span><span class="p">,</span> <span class="n">north</span><span class="p">,</span> <span class="n">mindist</span><span class="p">,</span> <span class="n">poisson</span><span class="p">):</span>
@@ -1212,35 +920,71 @@ <h1>Source code for verde.vector</h1><div class="highlight"><pre>
 <span class="n">GREENS_FUNC_2D_JIT</span> <span class="o">=</span> <span class="n">jit</span><span class="p">(</span><span class="n">nopython</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fastmath</span><span class="o">=</span><span class="kc">True</span><span class="p">)(</span><span class="n">greens_func_2d</span><span class="p">)</span>
 </pre></div>
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
 </div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
-    </div>
+  </div>
+  
+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
-      </div>
+      </main>
     </div>
+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/_sources/api/generated/verde.BlockKFold.rst.txt b/dev/_sources/api/generated/verde.BlockKFold.rst
similarity index 82%
rename from dev/_sources/api/generated/verde.BlockKFold.rst.txt
rename to dev/_sources/api/generated/verde.BlockKFold.rst
index 0cc7caae4..cae2ac5d3 100644
--- a/dev/_sources/api/generated/verde.BlockKFold.rst.txt
+++ b/dev/_sources/api/generated/verde.BlockKFold.rst
@@ -74,6 +74,22 @@ verde.BlockKFold
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        BlockKFold.get_metadata_routing
     
     
     
@@ -91,6 +107,10 @@ verde.BlockKFold
 
 
 
+.. automethod:: BlockKFold.get_metadata_routing
+
+
+
 .. automethod:: BlockKFold.get_n_splits
 
 
diff --git a/dev/_sources/api/generated/verde.BlockMean.rst.txt b/dev/_sources/api/generated/verde.BlockMean.rst
similarity index 81%
rename from dev/_sources/api/generated/verde.BlockMean.rst.txt
rename to dev/_sources/api/generated/verde.BlockMean.rst
index 89e8f69f8..4b05ca073 100644
--- a/dev/_sources/api/generated/verde.BlockMean.rst.txt
+++ b/dev/_sources/api/generated/verde.BlockMean.rst
@@ -80,6 +80,28 @@ verde.BlockMean
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -105,6 +127,10 @@ verde.BlockMean
     
     
     
+        BlockMean.get_metadata_routing
+    
+    
+    
         BlockMean.get_params
     
     
@@ -123,6 +149,10 @@ verde.BlockMean
 
 
 
+.. automethod:: BlockMean.get_metadata_routing
+
+
+
 .. automethod:: BlockMean.get_params
 
 
diff --git a/dev/_sources/api/generated/verde.BlockReduce.rst.txt b/dev/_sources/api/generated/verde.BlockReduce.rst
similarity index 81%
rename from dev/_sources/api/generated/verde.BlockReduce.rst.txt
rename to dev/_sources/api/generated/verde.BlockReduce.rst
index 4b7083d35..d462f4246 100644
--- a/dev/_sources/api/generated/verde.BlockReduce.rst.txt
+++ b/dev/_sources/api/generated/verde.BlockReduce.rst
@@ -74,6 +74,28 @@ verde.BlockReduce
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -99,6 +121,10 @@ verde.BlockReduce
     
     
     
+        BlockReduce.get_metadata_routing
+    
+    
+    
         BlockReduce.get_params
     
     
@@ -117,6 +143,10 @@ verde.BlockReduce
 
 
 
+.. automethod:: BlockReduce.get_metadata_routing
+
+
+
 .. automethod:: BlockReduce.get_params
 
 
diff --git a/dev/_sources/api/generated/verde.BlockShuffleSplit.rst.txt b/dev/_sources/api/generated/verde.BlockShuffleSplit.rst
similarity index 81%
rename from dev/_sources/api/generated/verde.BlockShuffleSplit.rst.txt
rename to dev/_sources/api/generated/verde.BlockShuffleSplit.rst
index 79a41d89f..096eb8741 100644
--- a/dev/_sources/api/generated/verde.BlockShuffleSplit.rst.txt
+++ b/dev/_sources/api/generated/verde.BlockShuffleSplit.rst
@@ -74,6 +74,24 @@ verde.BlockShuffleSplit
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        BlockShuffleSplit.get_metadata_routing
     
     
     
@@ -91,6 +109,10 @@ verde.BlockShuffleSplit
 
 
 
+.. automethod:: BlockShuffleSplit.get_metadata_routing
+
+
+
 .. automethod:: BlockShuffleSplit.get_n_splits
 
 
diff --git a/dev/_sources/api/generated/verde.Chain.rst.txt b/dev/_sources/api/generated/verde.Chain.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.Chain.rst.txt
rename to dev/_sources/api/generated/verde.Chain.rst
index 3ef48afef..025a1adb8 100644
--- a/dev/_sources/api/generated/verde.Chain.rst.txt
+++ b/dev/_sources/api/generated/verde.Chain.rst
@@ -98,6 +98,34 @@ verde.Chain
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.Chain
     
     
     
+        Chain.get_metadata_routing
+    
+    
+    
         Chain.get_params
     
     
@@ -151,9 +183,21 @@ verde.Chain
     
     
     
+        Chain.set_fit_request
+    
+    
+    
         Chain.set_params
     
     
+    
+        Chain.set_predict_request
+    
+    
+    
+        Chain.set_score_request
+    
+    
 
 ----
 
@@ -169,6 +213,10 @@ verde.Chain
 
 
 
+.. automethod:: Chain.get_metadata_routing
+
+
+
 .. automethod:: Chain.get_params
 
 
@@ -193,10 +241,22 @@ verde.Chain
 
 
 
+.. automethod:: Chain.set_fit_request
+
+
+
 .. automethod:: Chain.set_params
 
 
 
+.. automethod:: Chain.set_predict_request
+
+
+
+.. automethod:: Chain.set_score_request
+
+
+
 .. include:: backreferences/verde.Chain.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.Cubic.rst.txt b/dev/_sources/api/generated/verde.Cubic.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.Cubic.rst.txt
rename to dev/_sources/api/generated/verde.Cubic.rst
index e073e4076..b3f3532e7 100644
--- a/dev/_sources/api/generated/verde.Cubic.rst.txt
+++ b/dev/_sources/api/generated/verde.Cubic.rst
@@ -98,6 +98,34 @@ verde.Cubic
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.Cubic
     
     
     
+        Cubic.get_metadata_routing
+    
+    
+    
         Cubic.get_params
     
     
@@ -151,9 +183,21 @@ verde.Cubic
     
     
     
+        Cubic.set_fit_request
+    
+    
+    
         Cubic.set_params
     
     
+    
+        Cubic.set_predict_request
+    
+    
+    
+        Cubic.set_score_request
+    
+    
 
 ----
 
@@ -169,6 +213,10 @@ verde.Cubic
 
 
 
+.. automethod:: Cubic.get_metadata_routing
+
+
+
 .. automethod:: Cubic.get_params
 
 
@@ -193,10 +241,22 @@ verde.Cubic
 
 
 
+.. automethod:: Cubic.set_fit_request
+
+
+
 .. automethod:: Cubic.set_params
 
 
 
+.. automethod:: Cubic.set_predict_request
+
+
+
+.. automethod:: Cubic.set_score_request
+
+
+
 .. include:: backreferences/verde.Cubic.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.KNeighbors.rst.txt b/dev/_sources/api/generated/verde.KNeighbors.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.KNeighbors.rst.txt
rename to dev/_sources/api/generated/verde.KNeighbors.rst
index 37cfbbb61..6c4ef96dd 100644
--- a/dev/_sources/api/generated/verde.KNeighbors.rst.txt
+++ b/dev/_sources/api/generated/verde.KNeighbors.rst
@@ -96,6 +96,34 @@ verde.KNeighbors
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -125,6 +153,10 @@ verde.KNeighbors
     
     
     
+        KNeighbors.get_metadata_routing
+    
+    
+    
         KNeighbors.get_params
     
     
@@ -149,9 +181,21 @@ verde.KNeighbors
     
     
     
+        KNeighbors.set_fit_request
+    
+    
+    
         KNeighbors.set_params
     
     
+    
+        KNeighbors.set_predict_request
+    
+    
+    
+        KNeighbors.set_score_request
+    
+    
 
 ----
 
@@ -167,6 +211,10 @@ verde.KNeighbors
 
 
 
+.. automethod:: KNeighbors.get_metadata_routing
+
+
+
 .. automethod:: KNeighbors.get_params
 
 
@@ -191,10 +239,22 @@ verde.KNeighbors
 
 
 
+.. automethod:: KNeighbors.set_fit_request
+
+
+
 .. automethod:: KNeighbors.set_params
 
 
 
+.. automethod:: KNeighbors.set_predict_request
+
+
+
+.. automethod:: KNeighbors.set_score_request
+
+
+
 .. include:: backreferences/verde.KNeighbors.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.Linear.rst.txt b/dev/_sources/api/generated/verde.Linear.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.Linear.rst.txt
rename to dev/_sources/api/generated/verde.Linear.rst
index 817b63508..460296bed 100644
--- a/dev/_sources/api/generated/verde.Linear.rst.txt
+++ b/dev/_sources/api/generated/verde.Linear.rst
@@ -98,6 +98,34 @@ verde.Linear
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.Linear
     
     
     
+        Linear.get_metadata_routing
+    
+    
+    
         Linear.get_params
     
     
@@ -151,9 +183,21 @@ verde.Linear
     
     
     
+        Linear.set_fit_request
+    
+    
+    
         Linear.set_params
     
     
+    
+        Linear.set_predict_request
+    
+    
+    
+        Linear.set_score_request
+    
+    
 
 ----
 
@@ -169,6 +213,10 @@ verde.Linear
 
 
 
+.. automethod:: Linear.get_metadata_routing
+
+
+
 .. automethod:: Linear.get_params
 
 
@@ -193,10 +241,22 @@ verde.Linear
 
 
 
+.. automethod:: Linear.set_fit_request
+
+
+
 .. automethod:: Linear.set_params
 
 
 
+.. automethod:: Linear.set_predict_request
+
+
+
+.. automethod:: Linear.set_score_request
+
+
+
 .. include:: backreferences/verde.Linear.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.ScipyGridder.rst.txt b/dev/_sources/api/generated/verde.ScipyGridder.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.ScipyGridder.rst.txt
rename to dev/_sources/api/generated/verde.ScipyGridder.rst
index 3bd39131a..c0363177b 100644
--- a/dev/_sources/api/generated/verde.ScipyGridder.rst.txt
+++ b/dev/_sources/api/generated/verde.ScipyGridder.rst
@@ -98,6 +98,34 @@ verde.ScipyGridder
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.ScipyGridder
     
     
     
+        ScipyGridder.get_metadata_routing
+    
+    
+    
         ScipyGridder.get_params
     
     
@@ -151,9 +183,21 @@ verde.ScipyGridder
     
     
     
+        ScipyGridder.set_fit_request
+    
+    
+    
         ScipyGridder.set_params
     
     
+    
+        ScipyGridder.set_predict_request
+    
+    
+    
+        ScipyGridder.set_score_request
+    
+    
 
 ----
 
@@ -169,6 +213,10 @@ verde.ScipyGridder
 
 
 
+.. automethod:: ScipyGridder.get_metadata_routing
+
+
+
 .. automethod:: ScipyGridder.get_params
 
 
@@ -193,10 +241,22 @@ verde.ScipyGridder
 
 
 
+.. automethod:: ScipyGridder.set_fit_request
+
+
+
 .. automethod:: ScipyGridder.set_params
 
 
 
+.. automethod:: ScipyGridder.set_predict_request
+
+
+
+.. automethod:: ScipyGridder.set_score_request
+
+
+
 .. include:: backreferences/verde.ScipyGridder.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.Spline.rst.txt b/dev/_sources/api/generated/verde.Spline.rst
similarity index 74%
rename from dev/_sources/api/generated/verde.Spline.rst.txt
rename to dev/_sources/api/generated/verde.Spline.rst
index 815c07033..1d14c5565 100644
--- a/dev/_sources/api/generated/verde.Spline.rst.txt
+++ b/dev/_sources/api/generated/verde.Spline.rst
@@ -98,6 +98,34 @@ verde.Spline
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.Spline
     
     
     
+        Spline.get_metadata_routing
+    
+    
+    
         Spline.get_params
     
     
@@ -155,9 +187,21 @@ verde.Spline
     
     
     
+        Spline.set_fit_request
+    
+    
+    
         Spline.set_params
     
     
+    
+        Spline.set_predict_request
+    
+    
+    
+        Spline.set_score_request
+    
+    
 
 ----
 
@@ -173,6 +217,10 @@ verde.Spline
 
 
 
+.. automethod:: Spline.get_metadata_routing
+
+
+
 .. automethod:: Spline.get_params
 
 
@@ -201,10 +249,22 @@ verde.Spline
 
 
 
+.. automethod:: Spline.set_fit_request
+
+
+
 .. automethod:: Spline.set_params
 
 
 
+.. automethod:: Spline.set_predict_request
+
+
+
+.. automethod:: Spline.set_score_request
+
+
+
 .. include:: backreferences/verde.Spline.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.SplineCV.rst.txt b/dev/_sources/api/generated/verde.SplineCV.rst
similarity index 74%
rename from dev/_sources/api/generated/verde.SplineCV.rst.txt
rename to dev/_sources/api/generated/verde.SplineCV.rst
index 606293189..7996b42b1 100644
--- a/dev/_sources/api/generated/verde.SplineCV.rst.txt
+++ b/dev/_sources/api/generated/verde.SplineCV.rst
@@ -106,6 +106,34 @@ verde.SplineCV
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -135,6 +163,10 @@ verde.SplineCV
     
     
     
+        SplineCV.get_metadata_routing
+    
+    
+    
         SplineCV.get_params
     
     
@@ -159,9 +191,21 @@ verde.SplineCV
     
     
     
+        SplineCV.set_fit_request
+    
+    
+    
         SplineCV.set_params
     
     
+    
+        SplineCV.set_predict_request
+    
+    
+    
+        SplineCV.set_score_request
+    
+    
 
 ----
 
@@ -177,6 +221,10 @@ verde.SplineCV
 
 
 
+.. automethod:: SplineCV.get_metadata_routing
+
+
+
 .. automethod:: SplineCV.get_params
 
 
@@ -201,10 +249,22 @@ verde.SplineCV
 
 
 
+.. automethod:: SplineCV.set_fit_request
+
+
+
 .. automethod:: SplineCV.set_params
 
 
 
+.. automethod:: SplineCV.set_predict_request
+
+
+
+.. automethod:: SplineCV.set_score_request
+
+
+
 .. include:: backreferences/verde.SplineCV.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.Trend.rst.txt b/dev/_sources/api/generated/verde.Trend.rst
similarity index 74%
rename from dev/_sources/api/generated/verde.Trend.rst.txt
rename to dev/_sources/api/generated/verde.Trend.rst
index 1571db15a..25b107d18 100644
--- a/dev/_sources/api/generated/verde.Trend.rst.txt
+++ b/dev/_sources/api/generated/verde.Trend.rst
@@ -98,6 +98,34 @@ verde.Trend
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.Trend
     
     
     
+        Trend.get_metadata_routing
+    
+    
+    
         Trend.get_params
     
     
@@ -155,9 +187,21 @@ verde.Trend
     
     
     
+        Trend.set_fit_request
+    
+    
+    
         Trend.set_params
     
     
+    
+        Trend.set_predict_request
+    
+    
+    
+        Trend.set_score_request
+    
+    
 
 ----
 
@@ -173,6 +217,10 @@ verde.Trend
 
 
 
+.. automethod:: Trend.get_metadata_routing
+
+
+
 .. automethod:: Trend.get_params
 
 
@@ -201,10 +249,22 @@ verde.Trend
 
 
 
+.. automethod:: Trend.set_fit_request
+
+
+
 .. automethod:: Trend.set_params
 
 
 
+.. automethod:: Trend.set_predict_request
+
+
+
+.. automethod:: Trend.set_score_request
+
+
+
 .. include:: backreferences/verde.Trend.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.Vector.rst.txt b/dev/_sources/api/generated/verde.Vector.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.Vector.rst.txt
rename to dev/_sources/api/generated/verde.Vector.rst
index 422177842..15cb90d9c 100644
--- a/dev/_sources/api/generated/verde.Vector.rst.txt
+++ b/dev/_sources/api/generated/verde.Vector.rst
@@ -96,6 +96,34 @@ verde.Vector
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -125,6 +153,10 @@ verde.Vector
     
     
     
+        Vector.get_metadata_routing
+    
+    
+    
         Vector.get_params
     
     
@@ -149,9 +181,21 @@ verde.Vector
     
     
     
+        Vector.set_fit_request
+    
+    
+    
         Vector.set_params
     
     
+    
+        Vector.set_predict_request
+    
+    
+    
+        Vector.set_score_request
+    
+    
 
 ----
 
@@ -167,6 +211,10 @@ verde.Vector
 
 
 
+.. automethod:: Vector.get_metadata_routing
+
+
+
 .. automethod:: Vector.get_params
 
 
@@ -191,10 +239,22 @@ verde.Vector
 
 
 
+.. automethod:: Vector.set_fit_request
+
+
+
 .. automethod:: Vector.set_params
 
 
 
+.. automethod:: Vector.set_predict_request
+
+
+
+.. automethod:: Vector.set_score_request
+
+
+
 .. include:: backreferences/verde.Vector.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.VectorSpline2D.rst.txt b/dev/_sources/api/generated/verde.VectorSpline2D.rst
similarity index 74%
rename from dev/_sources/api/generated/verde.VectorSpline2D.rst.txt
rename to dev/_sources/api/generated/verde.VectorSpline2D.rst
index 93275b545..be55f8bd1 100644
--- a/dev/_sources/api/generated/verde.VectorSpline2D.rst.txt
+++ b/dev/_sources/api/generated/verde.VectorSpline2D.rst
@@ -98,6 +98,34 @@ verde.VectorSpline2D
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -127,6 +155,10 @@ verde.VectorSpline2D
     
     
     
+        VectorSpline2D.get_metadata_routing
+    
+    
+    
         VectorSpline2D.get_params
     
     
@@ -155,9 +187,21 @@ verde.VectorSpline2D
     
     
     
+        VectorSpline2D.set_fit_request
+    
+    
+    
         VectorSpline2D.set_params
     
     
+    
+        VectorSpline2D.set_predict_request
+    
+    
+    
+        VectorSpline2D.set_score_request
+    
+    
 
 ----
 
@@ -173,6 +217,10 @@ verde.VectorSpline2D
 
 
 
+.. automethod:: VectorSpline2D.get_metadata_routing
+
+
+
 .. automethod:: VectorSpline2D.get_params
 
 
@@ -201,10 +249,22 @@ verde.VectorSpline2D
 
 
 
+.. automethod:: VectorSpline2D.set_fit_request
+
+
+
 .. automethod:: VectorSpline2D.set_params
 
 
 
+.. automethod:: VectorSpline2D.set_predict_request
+
+
+
+.. automethod:: VectorSpline2D.set_score_request
+
+
+
 .. include:: backreferences/verde.VectorSpline2D.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst.txt b/dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst
similarity index 81%
rename from dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst.txt
rename to dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst
index 4123f50c4..12b3b2f46 100644
--- a/dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst.txt
+++ b/dev/_sources/api/generated/verde.base.BaseBlockCrossValidator.rst
@@ -74,6 +74,24 @@ verde.base.BaseBlockCrossValidator
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        BaseBlockCrossValidator.get_metadata_routing
     
     
     
@@ -91,6 +109,10 @@ verde.base.BaseBlockCrossValidator
 
 
 
+.. automethod:: BaseBlockCrossValidator.get_metadata_routing
+
+
+
 .. automethod:: BaseBlockCrossValidator.get_n_splits
 
 
diff --git a/dev/_sources/api/generated/verde.base.BaseGridder.rst.txt b/dev/_sources/api/generated/verde.base.BaseGridder.rst
similarity index 73%
rename from dev/_sources/api/generated/verde.base.BaseGridder.rst.txt
rename to dev/_sources/api/generated/verde.base.BaseGridder.rst
index 85f0531e4..69f56f6a4 100644
--- a/dev/_sources/api/generated/verde.base.BaseGridder.rst.txt
+++ b/dev/_sources/api/generated/verde.base.BaseGridder.rst
@@ -96,6 +96,34 @@ verde.base.BaseGridder
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -125,6 +153,10 @@ verde.base.BaseGridder
     
     
     
+        BaseGridder.get_metadata_routing
+    
+    
+    
         BaseGridder.get_params
     
     
@@ -149,9 +181,21 @@ verde.base.BaseGridder
     
     
     
+        BaseGridder.set_fit_request
+    
+    
+    
         BaseGridder.set_params
     
     
+    
+        BaseGridder.set_predict_request
+    
+    
+    
+        BaseGridder.set_score_request
+    
+    
 
 ----
 
@@ -167,6 +211,10 @@ verde.base.BaseGridder
 
 
 
+.. automethod:: BaseGridder.get_metadata_routing
+
+
+
 .. automethod:: BaseGridder.get_params
 
 
@@ -191,10 +239,22 @@ verde.base.BaseGridder
 
 
 
+.. automethod:: BaseGridder.set_fit_request
+
+
+
 .. automethod:: BaseGridder.set_params
 
 
 
+.. automethod:: BaseGridder.set_predict_request
+
+
+
+.. automethod:: BaseGridder.set_score_request
+
+
+
 .. include:: backreferences/verde.base.BaseGridder.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.base.check_fit_input.rst.txt b/dev/_sources/api/generated/verde.base.check_fit_input.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.base.check_fit_input.rst.txt
rename to dev/_sources/api/generated/verde.base.check_fit_input.rst
diff --git a/dev/_sources/api/generated/verde.base.least_squares.rst.txt b/dev/_sources/api/generated/verde.base.least_squares.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.base.least_squares.rst.txt
rename to dev/_sources/api/generated/verde.base.least_squares.rst
diff --git a/dev/_sources/api/generated/verde.base.n_1d_arrays.rst.txt b/dev/_sources/api/generated/verde.base.n_1d_arrays.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.base.n_1d_arrays.rst.txt
rename to dev/_sources/api/generated/verde.base.n_1d_arrays.rst
diff --git a/dev/_sources/api/generated/verde.block_split.rst.txt b/dev/_sources/api/generated/verde.block_split.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.block_split.rst.txt
rename to dev/_sources/api/generated/verde.block_split.rst
diff --git a/dev/_sources/api/generated/verde.convexhull_mask.rst.txt b/dev/_sources/api/generated/verde.convexhull_mask.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.convexhull_mask.rst.txt
rename to dev/_sources/api/generated/verde.convexhull_mask.rst
diff --git a/dev/_sources/api/generated/verde.cross_val_score.rst.txt b/dev/_sources/api/generated/verde.cross_val_score.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.cross_val_score.rst.txt
rename to dev/_sources/api/generated/verde.cross_val_score.rst
diff --git a/dev/_sources/api/generated/verde.datasets.fetch_baja_bathymetry.rst.txt b/dev/_sources/api/generated/verde.datasets.fetch_baja_bathymetry.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.fetch_baja_bathymetry.rst.txt
rename to dev/_sources/api/generated/verde.datasets.fetch_baja_bathymetry.rst
diff --git a/dev/_sources/api/generated/verde.datasets.fetch_california_gps.rst.txt b/dev/_sources/api/generated/verde.datasets.fetch_california_gps.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.fetch_california_gps.rst.txt
rename to dev/_sources/api/generated/verde.datasets.fetch_california_gps.rst
diff --git a/dev/_sources/api/generated/verde.datasets.fetch_rio_magnetic.rst.txt b/dev/_sources/api/generated/verde.datasets.fetch_rio_magnetic.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.fetch_rio_magnetic.rst.txt
rename to dev/_sources/api/generated/verde.datasets.fetch_rio_magnetic.rst
diff --git a/dev/_sources/api/generated/verde.datasets.fetch_texas_wind.rst.txt b/dev/_sources/api/generated/verde.datasets.fetch_texas_wind.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.fetch_texas_wind.rst.txt
rename to dev/_sources/api/generated/verde.datasets.fetch_texas_wind.rst
diff --git a/dev/_sources/api/generated/verde.datasets.locate.rst.txt b/dev/_sources/api/generated/verde.datasets.locate.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.locate.rst.txt
rename to dev/_sources/api/generated/verde.datasets.locate.rst
diff --git a/dev/_sources/api/generated/verde.datasets.setup_baja_bathymetry_map.rst.txt b/dev/_sources/api/generated/verde.datasets.setup_baja_bathymetry_map.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.setup_baja_bathymetry_map.rst.txt
rename to dev/_sources/api/generated/verde.datasets.setup_baja_bathymetry_map.rst
diff --git a/dev/_sources/api/generated/verde.datasets.setup_california_gps_map.rst.txt b/dev/_sources/api/generated/verde.datasets.setup_california_gps_map.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.setup_california_gps_map.rst.txt
rename to dev/_sources/api/generated/verde.datasets.setup_california_gps_map.rst
diff --git a/dev/_sources/api/generated/verde.datasets.setup_rio_magnetic_map.rst.txt b/dev/_sources/api/generated/verde.datasets.setup_rio_magnetic_map.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.setup_rio_magnetic_map.rst.txt
rename to dev/_sources/api/generated/verde.datasets.setup_rio_magnetic_map.rst
diff --git a/dev/_sources/api/generated/verde.datasets.setup_texas_wind_map.rst.txt b/dev/_sources/api/generated/verde.datasets.setup_texas_wind_map.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.datasets.setup_texas_wind_map.rst.txt
rename to dev/_sources/api/generated/verde.datasets.setup_texas_wind_map.rst
diff --git a/dev/_sources/api/generated/verde.distance_mask.rst.txt b/dev/_sources/api/generated/verde.distance_mask.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.distance_mask.rst.txt
rename to dev/_sources/api/generated/verde.distance_mask.rst
diff --git a/dev/_sources/api/generated/verde.expanding_window.rst.txt b/dev/_sources/api/generated/verde.expanding_window.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.expanding_window.rst.txt
rename to dev/_sources/api/generated/verde.expanding_window.rst
diff --git a/dev/_sources/api/generated/verde.get_region.rst.txt b/dev/_sources/api/generated/verde.get_region.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.get_region.rst.txt
rename to dev/_sources/api/generated/verde.get_region.rst
diff --git a/dev/_sources/api/generated/verde.grid_coordinates.rst.txt b/dev/_sources/api/generated/verde.grid_coordinates.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.grid_coordinates.rst.txt
rename to dev/_sources/api/generated/verde.grid_coordinates.rst
diff --git a/dev/_sources/api/generated/verde.grid_to_table.rst.txt b/dev/_sources/api/generated/verde.grid_to_table.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.grid_to_table.rst.txt
rename to dev/_sources/api/generated/verde.grid_to_table.rst
diff --git a/dev/_sources/api/generated/verde.inside.rst.txt b/dev/_sources/api/generated/verde.inside.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.inside.rst.txt
rename to dev/_sources/api/generated/verde.inside.rst
diff --git a/dev/_sources/api/generated/verde.line_coordinates.rst.txt b/dev/_sources/api/generated/verde.line_coordinates.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.line_coordinates.rst.txt
rename to dev/_sources/api/generated/verde.line_coordinates.rst
diff --git a/dev/_sources/api/generated/verde.load_surfer.rst.txt b/dev/_sources/api/generated/verde.load_surfer.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.load_surfer.rst.txt
rename to dev/_sources/api/generated/verde.load_surfer.rst
diff --git a/dev/_sources/api/generated/verde.make_xarray_grid.rst.txt b/dev/_sources/api/generated/verde.make_xarray_grid.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.make_xarray_grid.rst.txt
rename to dev/_sources/api/generated/verde.make_xarray_grid.rst
diff --git a/dev/_sources/api/generated/verde.maxabs.rst.txt b/dev/_sources/api/generated/verde.maxabs.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.maxabs.rst.txt
rename to dev/_sources/api/generated/verde.maxabs.rst
diff --git a/dev/_sources/api/generated/verde.median_distance.rst.txt b/dev/_sources/api/generated/verde.median_distance.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.median_distance.rst.txt
rename to dev/_sources/api/generated/verde.median_distance.rst
diff --git a/dev/_sources/api/generated/verde.pad_region.rst.txt b/dev/_sources/api/generated/verde.pad_region.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.pad_region.rst.txt
rename to dev/_sources/api/generated/verde.pad_region.rst
diff --git a/dev/_sources/api/generated/verde.profile_coordinates.rst.txt b/dev/_sources/api/generated/verde.profile_coordinates.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.profile_coordinates.rst.txt
rename to dev/_sources/api/generated/verde.profile_coordinates.rst
diff --git a/dev/_sources/api/generated/verde.project_grid.rst.txt b/dev/_sources/api/generated/verde.project_grid.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.project_grid.rst.txt
rename to dev/_sources/api/generated/verde.project_grid.rst
diff --git a/dev/_sources/api/generated/verde.project_region.rst.txt b/dev/_sources/api/generated/verde.project_region.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.project_region.rst.txt
rename to dev/_sources/api/generated/verde.project_region.rst
diff --git a/dev/_sources/api/generated/verde.rolling_window.rst.txt b/dev/_sources/api/generated/verde.rolling_window.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.rolling_window.rst.txt
rename to dev/_sources/api/generated/verde.rolling_window.rst
diff --git a/dev/_sources/api/generated/verde.scatter_points.rst.txt b/dev/_sources/api/generated/verde.scatter_points.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.scatter_points.rst.txt
rename to dev/_sources/api/generated/verde.scatter_points.rst
diff --git a/dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst.txt b/dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst
similarity index 74%
rename from dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst.txt
rename to dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst
index e6b2b5e8f..ec05ccaf2 100644
--- a/dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst.txt
+++ b/dev/_sources/api/generated/verde.synthetic.CheckerBoard.rst
@@ -102,6 +102,34 @@ verde.synthetic.CheckerBoard
     
     
     
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
     
     
     
@@ -131,6 +159,10 @@ verde.synthetic.CheckerBoard
     
     
     
+        CheckerBoard.get_metadata_routing
+    
+    
+    
         CheckerBoard.get_params
     
     
@@ -155,9 +187,21 @@ verde.synthetic.CheckerBoard
     
     
     
+        CheckerBoard.set_fit_request
+    
+    
+    
         CheckerBoard.set_params
     
     
+    
+        CheckerBoard.set_predict_request
+    
+    
+    
+        CheckerBoard.set_score_request
+    
+    
 
 ----
 
@@ -173,6 +217,10 @@ verde.synthetic.CheckerBoard
 
 
 
+.. automethod:: CheckerBoard.get_metadata_routing
+
+
+
 .. automethod:: CheckerBoard.get_params
 
 
@@ -197,10 +245,22 @@ verde.synthetic.CheckerBoard
 
 
 
+.. automethod:: CheckerBoard.set_fit_request
+
+
+
 .. automethod:: CheckerBoard.set_params
 
 
 
+.. automethod:: CheckerBoard.set_predict_request
+
+
+
+.. automethod:: CheckerBoard.set_score_request
+
+
+
 .. include:: backreferences/verde.synthetic.CheckerBoard.examples
 
 .. raw:: html
diff --git a/dev/_sources/api/generated/verde.train_test_split.rst.txt b/dev/_sources/api/generated/verde.train_test_split.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.train_test_split.rst.txt
rename to dev/_sources/api/generated/verde.train_test_split.rst
diff --git a/dev/_sources/api/generated/verde.variance_to_weights.rst.txt b/dev/_sources/api/generated/verde.variance_to_weights.rst
similarity index 100%
rename from dev/_sources/api/generated/verde.variance_to_weights.rst.txt
rename to dev/_sources/api/generated/verde.variance_to_weights.rst
diff --git a/dev/_sources/api/index.rst.txt b/dev/_sources/api/index.rst
similarity index 100%
rename from dev/_sources/api/index.rst.txt
rename to dev/_sources/api/index.rst
diff --git a/dev/_sources/changes.rst.txt b/dev/_sources/changes.rst
similarity index 100%
rename from dev/_sources/changes.rst.txt
rename to dev/_sources/changes.rst
diff --git a/dev/_sources/citing.rst.txt b/dev/_sources/citing.rst
similarity index 100%
rename from dev/_sources/citing.rst.txt
rename to dev/_sources/citing.rst
diff --git a/dev/_sources/compatibility.rst.txt b/dev/_sources/compatibility.rst
similarity index 97%
rename from dev/_sources/compatibility.rst.txt
rename to dev/_sources/compatibility.rst
index ca6e9a05b..65cc9eb72 100644
--- a/dev/_sources/compatibility.rst.txt
+++ b/dev/_sources/compatibility.rst
@@ -55,3 +55,7 @@ following releases to ensure compatibility:
       - **Last compatible release**
     * - 3.6
       - 1.7.0
+    * - 3.7
+      - 1.8.0
+    * - 3.8
+      - 1.8.0
diff --git a/dev/_sources/gallery/blockkfold.rst.txt b/dev/_sources/gallery/blockkfold.rst
similarity index 91%
rename from dev/_sources/gallery/blockkfold.rst.txt
rename to dev/_sources/gallery/blockkfold.rst
index 521e6ccfe..e17d1b874 100644
--- a/dev/_sources/gallery/blockkfold.rst.txt
+++ b/dev/_sources/gallery/blockkfold.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_blockkfold.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_blockkfold.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -56,7 +56,7 @@ have very different numbers of data points.
 
 
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -142,28 +142,22 @@ have very different numbers of data points.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  15.754 seconds)
+   **Total running time of the script:** (0 minutes 18.201 seconds)
 
 
 .. _sphx_glr_download_gallery_blockkfold.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: blockkfold.py <blockkfold.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: blockkfold.ipynb <blockkfold.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: blockkfold.ipynb <blockkfold.ipynb>`
+      :download:`Download Python source code: blockkfold.py <blockkfold.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/blockreduce.rst.txt b/dev/_sources/gallery/blockreduce.rst
similarity index 55%
rename from dev/_sources/gallery/blockreduce.rst.txt
rename to dev/_sources/gallery/blockreduce.rst
index 216752844..6eab30dda 100644
--- a/dev/_sources/gallery/blockreduce.rst.txt
+++ b/dev/_sources/gallery/blockreduce.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_blockreduce.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_blockreduce.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -40,10 +40,16 @@ is a good choice.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
     Original data size: 82970
     Decimated data size: 1801
 
@@ -54,7 +60,7 @@ is a good choice.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -89,28 +95,22 @@ is a good choice.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.252 seconds)
+   **Total running time of the script:** (0 minutes 0.211 seconds)
 
 
 .. _sphx_glr_download_gallery_blockreduce.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: blockreduce.py <blockreduce.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: blockreduce.ipynb <blockreduce.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: blockreduce.ipynb <blockreduce.ipynb>`
+      :download:`Download Python source code: blockreduce.py <blockreduce.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/blockreduce_weights.rst.txt b/dev/_sources/gallery/blockreduce_weights.rst
similarity index 57%
rename from dev/_sources/gallery/blockreduce_weights.rst.txt
rename to dev/_sources/gallery/blockreduce_weights.rst
index f41c16cfa..1382be6e8 100644
--- a/dev/_sources/gallery/blockreduce_weights.rst.txt
+++ b/dev/_sources/gallery/blockreduce_weights.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_blockreduce_weights.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_blockreduce_weights.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -41,12 +41,29 @@ well, use :class:`verde.BlockMean`.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /home/runner/work/verde/verde/doc/gallery_src/blockreduce_weights.py:30: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!
+    You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.
+    A typical example is when you are setting values in a column of a DataFrame, like:
+
+    df["col"][row_indexer] = value
+
+    Use `df.loc[row_indexer, "col"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.
+
+    See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
+
+      data.velocity_up[outliers] += 0.08
     Index of outliers: [1608 2347 1099 2408  674  433 1071 2452  124 1219 1126  938  875   51
      2407  892  255 1349 1112 1326]
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
 
 
 
@@ -55,7 +72,7 @@ well, use :class:`verde.BlockMean`.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -123,28 +140,22 @@ well, use :class:`verde.BlockMean`.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.489 seconds)
+   **Total running time of the script:** (0 minutes 0.561 seconds)
 
 
 .. _sphx_glr_download_gallery_blockreduce_weights.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: blockreduce_weights.py <blockreduce_weights.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: blockreduce_weights.ipynb <blockreduce_weights.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: blockreduce_weights.ipynb <blockreduce_weights.ipynb>`
+      :download:`Download Python source code: blockreduce_weights.py <blockreduce_weights.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/blockreduce_weights_mean.rst.txt b/dev/_sources/gallery/blockreduce_weights_mean.rst
similarity index 65%
rename from dev/_sources/gallery/blockreduce_weights_mean.rst.txt
rename to dev/_sources/gallery/blockreduce_weights_mean.rst
index e60e1063d..e4d847556 100644
--- a/dev/_sources/gallery/blockreduce_weights_mean.rst.txt
+++ b/dev/_sources/gallery/blockreduce_weights_mean.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_blockreduce_weights_mean.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_blockreduce_weights_mean.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -55,10 +55,31 @@ uncertainties. This is also the best choice if your data weights aren't
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
 
+ .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
 
-.. code-block:: default
+
+
+
+
+
+|
+
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -126,28 +147,22 @@ uncertainties. This is also the best choice if your data weights aren't
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.842 seconds)
+   **Total running time of the script:** (0 minutes 0.793 seconds)
 
 
 .. _sphx_glr_download_gallery_blockreduce_weights_mean.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: blockreduce_weights_mean.py <blockreduce_weights_mean.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: blockreduce_weights_mean.ipynb <blockreduce_weights_mean.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: blockreduce_weights_mean.ipynb <blockreduce_weights_mean.ipynb>`
+      :download:`Download Python source code: blockreduce_weights_mean.py <blockreduce_weights_mean.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/checkerboard.rst.txt b/dev/_sources/gallery/checkerboard.rst
similarity index 84%
rename from dev/_sources/gallery/checkerboard.rst.txt
rename to dev/_sources/gallery/checkerboard.rst
index 0a1b19ec9..4b6bad64d 100644
--- a/dev/_sources/gallery/checkerboard.rst.txt
+++ b/dev/_sources/gallery/checkerboard.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_checkerboard.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_checkerboard.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -37,12 +37,10 @@ are shared with most other gridders: predict, grid, profile, and scatter.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     wavelengths (east, north): 2500.0 2500.0
-    Checkerboard value at (easting=2000, northing=-2500): -951.0565162951538
+    Checkerboard value at (easting=2000, northing=-2500): -951.0565162951536
 
     Data grid:
      <xarray.Dataset>
@@ -70,7 +68,7 @@ are shared with most other gridders: predict, grid, profile, and scatter.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import matplotlib.pyplot as plt
 
@@ -108,28 +106,22 @@ are shared with most other gridders: predict, grid, profile, and scatter.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.121 seconds)
+   **Total running time of the script:** (0 minutes 0.113 seconds)
 
 
 .. _sphx_glr_download_gallery_checkerboard.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: checkerboard.py <checkerboard.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: checkerboard.ipynb <checkerboard.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: checkerboard.ipynb <checkerboard.ipynb>`
+      :download:`Download Python source code: checkerboard.py <checkerboard.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/convex_hull_mask.rst.txt b/dev/_sources/gallery/convex_hull_mask.rst
similarity index 86%
rename from dev/_sources/gallery/convex_hull_mask.rst.txt
rename to dev/_sources/gallery/convex_hull_mask.rst
index 7619b8a2c..04847a4fa 100644
--- a/dev/_sources/gallery/convex_hull_mask.rst.txt
+++ b/dev/_sources/gallery/convex_hull_mask.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_convex_hull_mask.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_convex_hull_mask.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -38,8 +38,6 @@ outside of the convex hull of the data points to NaN or some other value.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[False False False ... False False False]
@@ -59,7 +57,7 @@ outside of the convex hull of the data points to NaN or some other value.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -107,28 +105,22 @@ outside of the convex hull of the data points to NaN or some other value.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.600 seconds)
+   **Total running time of the script:** (0 minutes 3.797 seconds)
 
 
 .. _sphx_glr_download_gallery_convex_hull_mask.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: convex_hull_mask.py <convex_hull_mask.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: convex_hull_mask.ipynb <convex_hull_mask.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: convex_hull_mask.ipynb <convex_hull_mask.ipynb>`
+      :download:`Download Python source code: convex_hull_mask.py <convex_hull_mask.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/cubic_gridder.rst.txt b/dev/_sources/gallery/cubic_gridder.rst
similarity index 71%
rename from dev/_sources/gallery/cubic_gridder.rst.txt
rename to dev/_sources/gallery/cubic_gridder.rst
index 70a8f4cee..ef4ceb992 100644
--- a/dev/_sources/gallery/cubic_gridder.rst.txt
+++ b/dev/_sources/gallery/cubic_gridder.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_cubic_gridder.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_cubic_gridder.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -47,10 +47,16 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
     Data region: (245.0, 254.705, 20.0, 29.99131)
     Generated geographic grid:
     <xarray.Dataset>
@@ -70,7 +76,7 @@ projected prior to interpolation.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -143,28 +149,22 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.717 seconds)
+   **Total running time of the script:** (0 minutes 2.498 seconds)
 
 
 .. _sphx_glr_download_gallery_cubic_gridder.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: cubic_gridder.py <cubic_gridder.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: cubic_gridder.ipynb <cubic_gridder.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: cubic_gridder.ipynb <cubic_gridder.ipynb>`
+      :download:`Download Python source code: cubic_gridder.py <cubic_gridder.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/distance_mask.rst.txt b/dev/_sources/gallery/distance_mask.rst
similarity index 86%
rename from dev/_sources/gallery/distance_mask.rst.txt
rename to dev/_sources/gallery/distance_mask.rst
index 40129089c..b8e5728cc 100644
--- a/dev/_sources/gallery/distance_mask.rst.txt
+++ b/dev/_sources/gallery/distance_mask.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_distance_mask.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_distance_mask.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -38,8 +38,6 @@ some other value.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[ True  True  True ...  True  True  True]
@@ -59,7 +57,7 @@ some other value.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -109,28 +107,22 @@ some other value.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.466 seconds)
+   **Total running time of the script:** (0 minutes 2.883 seconds)
 
 
 .. _sphx_glr_download_gallery_distance_mask.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: distance_mask.py <distance_mask.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: distance_mask.ipynb <distance_mask.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: distance_mask.ipynb <distance_mask.ipynb>`
+      :download:`Download Python source code: distance_mask.py <distance_mask.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/index.rst.txt b/dev/_sources/gallery/index.rst
similarity index 56%
rename from dev/_sources/gallery/index.rst.txt
rename to dev/_sources/gallery/index.rst
index f9583647c..64d9d66a2 100644
--- a/dev/_sources/gallery/index.rst.txt
+++ b/dev/_sources/gallery/index.rst
@@ -1,9 +1,5 @@
 :orphan:
 
-
-
-.. _sphx_glr_gallery:
-
 .. _gallery:
 
 Gallery
@@ -13,373 +9,316 @@ This gallery contains a selection examples of what Verde can do.
 
 
 
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_blockkfold_thumb.png
-     :alt: K-Fold cross-validation with blocks
+  .. image:: /gallery/images/thumb/sphx_glr_blockkfold_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_blockkfold.py`
+  :ref:`sphx_glr_gallery_blockkfold.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/blockkfold
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_blockreduce_thumb.png
-     :alt: Blocked reduction operations
+  .. image:: /gallery/images/thumb/sphx_glr_blockreduce_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_blockreduce.py`
+  :ref:`sphx_glr_gallery_blockreduce.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Blocked reduction operations</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/blockreduce
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_blockreduce_weights_thumb.png
-     :alt: Using weights in blocked reduction
+  .. image:: /gallery/images/thumb/sphx_glr_blockreduce_weights_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_blockreduce_weights.py`
+  :ref:`sphx_glr_gallery_blockreduce_weights.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/blockreduce_weights
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_blockreduce_weights_mean_thumb.png
-     :alt: Using weights in blocked means
+  .. image:: /gallery/images/thumb/sphx_glr_blockreduce_weights_mean_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_blockreduce_weights_mean.py`
+  :ref:`sphx_glr_gallery_blockreduce_weights_mean.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/blockreduce_weights_mean
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_checkerboard_thumb.png
-     :alt: Checkerboard function
+  .. image:: /gallery/images/thumb/sphx_glr_checkerboard_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_checkerboard.py`
+  :ref:`sphx_glr_gallery_checkerboard.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Checkerboard function</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/checkerboard
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_convex_hull_mask_thumb.png
-     :alt: Mask grid points by convex hull
+  .. image:: /gallery/images/thumb/sphx_glr_convex_hull_mask_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_convex_hull_mask.py`
+  :ref:`sphx_glr_gallery_convex_hull_mask.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/convex_hull_mask
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_cubic_gridder_thumb.png
-     :alt: Gridding with a cubic interpolator
+  .. image:: /gallery/images/thumb/sphx_glr_cubic_gridder_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_cubic_gridder.py`
+  :ref:`sphx_glr_gallery_cubic_gridder.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/cubic_gridder
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_distance_mask_thumb.png
-     :alt: Mask grid points by distance
+  .. image:: /gallery/images/thumb/sphx_glr_distance_mask_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_distance_mask.py`
+  :ref:`sphx_glr_gallery_distance_mask.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/distance_mask
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_kneighbors_gridder_thumb.png
-     :alt: Gridding with a nearest-neighbors interpolator
+  .. image:: /gallery/images/thumb/sphx_glr_kneighbors_gridder_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_kneighbors_gridder.py`
+  :ref:`sphx_glr_gallery_kneighbors_gridder.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/kneighbors_gridder
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_linear_gridder_thumb.png
-     :alt: Gridding with a linear interpolator
+  .. image:: /gallery/images/thumb/sphx_glr_linear_gridder_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_linear_gridder.py`
+  :ref:`sphx_glr_gallery_linear_gridder.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/linear_gridder
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_project_grid_thumb.png
-     :alt: Projection of gridded data
+  .. image:: /gallery/images/thumb/sphx_glr_project_grid_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_project_grid.py`
+  :ref:`sphx_glr_gallery_project_grid.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/project_grid
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_spline_thumb.png
-     :alt: Gridding with splines
+  .. image:: /gallery/images/thumb/sphx_glr_spline_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_spline.py`
+  :ref:`sphx_glr_gallery_spline.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/spline
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_spline_cv_thumb.png
-     :alt: Gridding with splines (cross-validated)
+  .. image:: /gallery/images/thumb/sphx_glr_spline_cv_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_spline_cv.py`
+  :ref:`sphx_glr_gallery_spline_cv.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/spline_cv
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_spline_weights_thumb.png
-     :alt: Gridding with splines and weights
+  .. image:: /gallery/images/thumb/sphx_glr_spline_weights_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_spline_weights.py`
+  :ref:`sphx_glr_gallery_spline_weights.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/spline_weights
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_train_test_split_thumb.png
-     :alt: Splitting data into train and test sets
+  .. image:: /gallery/images/thumb/sphx_glr_train_test_split_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_train_test_split.py`
+  :ref:`sphx_glr_gallery_train_test_split.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Splitting data into train and test sets</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/train_test_split
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_trend_thumb.png
-     :alt: Polynomial trend
+  .. image:: /gallery/images/thumb/sphx_glr_trend_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_trend.py`
+  :ref:`sphx_glr_gallery_trend.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/trend
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_vector_trend_thumb.png
-     :alt: Trends in vector data
+  .. image:: /gallery/images/thumb/sphx_glr_vector_trend_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_gallery_vector_trend.py`
+  :ref:`sphx_glr_gallery_vector_trend.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /gallery/vector_trend
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ...">
 
 .. only:: html
 
- .. figure:: /gallery/images/thumb/sphx_glr_vector_uncoupled_thumb.png
-     :alt: Gridding 2D vectors
+  .. image:: /gallery/images/thumb/sphx_glr_vector_uncoupled_thumb.png
+    :alt:
+
+  :ref:`sphx_glr_gallery_vector_uncoupled.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+    </div>
 
-     :ref:`sphx_glr_gallery_vector_uncoupled.py`
 
 .. raw:: html
 
@@ -389,10 +328,24 @@ This gallery contains a selection examples of what Verde can do.
 .. toctree::
    :hidden:
 
+   /gallery/blockkfold
+   /gallery/blockreduce
+   /gallery/blockreduce_weights
+   /gallery/blockreduce_weights_mean
+   /gallery/checkerboard
+   /gallery/convex_hull_mask
+   /gallery/cubic_gridder
+   /gallery/distance_mask
+   /gallery/kneighbors_gridder
+   /gallery/linear_gridder
+   /gallery/project_grid
+   /gallery/spline
+   /gallery/spline_cv
+   /gallery/spline_weights
+   /gallery/train_test_split
+   /gallery/trend
+   /gallery/vector_trend
    /gallery/vector_uncoupled
-.. raw:: html
-
-    <div class="sphx-glr-clear"></div>
 
 
 
diff --git a/dev/_sources/gallery/kneighbors_gridder.rst.txt b/dev/_sources/gallery/kneighbors_gridder.rst
similarity index 90%
rename from dev/_sources/gallery/kneighbors_gridder.rst.txt
rename to dev/_sources/gallery/kneighbors_gridder.rst
index a54fddba4..eb71ab74c 100644
--- a/dev/_sources/gallery/kneighbors_gridder.rst.txt
+++ b/dev/_sources/gallery/kneighbors_gridder.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_kneighbors_gridder.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_kneighbors_gridder.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -49,8 +49,6 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Data region: (245.0, 254.705, 20.0, 29.99131)
@@ -72,7 +70,7 @@ projected prior to interpolation.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -144,28 +142,22 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.303 seconds)
+   **Total running time of the script:** (0 minutes 3.376 seconds)
 
 
 .. _sphx_glr_download_gallery_kneighbors_gridder.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: kneighbors_gridder.py <kneighbors_gridder.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: kneighbors_gridder.ipynb <kneighbors_gridder.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: kneighbors_gridder.ipynb <kneighbors_gridder.ipynb>`
+      :download:`Download Python source code: kneighbors_gridder.py <kneighbors_gridder.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/linear_gridder.rst.txt b/dev/_sources/gallery/linear_gridder.rst
similarity index 71%
rename from dev/_sources/gallery/linear_gridder.rst.txt
rename to dev/_sources/gallery/linear_gridder.rst
index 467a07203..81a6471ce 100644
--- a/dev/_sources/gallery/linear_gridder.rst.txt
+++ b/dev/_sources/gallery/linear_gridder.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_linear_gridder.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_linear_gridder.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -47,10 +47,16 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
     Data region: (245.0, 254.705, 20.0, 29.99131)
     Generated geographic grid:
     <xarray.Dataset>
@@ -70,7 +76,7 @@ projected prior to interpolation.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -143,28 +149,22 @@ projected prior to interpolation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.576 seconds)
+   **Total running time of the script:** (0 minutes 2.466 seconds)
 
 
 .. _sphx_glr_download_gallery_linear_gridder.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: linear_gridder.py <linear_gridder.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: linear_gridder.ipynb <linear_gridder.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: linear_gridder.ipynb <linear_gridder.ipynb>`
+      :download:`Download Python source code: linear_gridder.py <linear_gridder.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/project_grid.rst.txt b/dev/_sources/gallery/project_grid.rst
similarity index 75%
rename from dev/_sources/gallery/project_grid.rst.txt
rename to dev/_sources/gallery/project_grid.rst
index 7de25f5bb..d44d42969 100644
--- a/dev/_sources/gallery/project_grid.rst.txt
+++ b/dev/_sources/gallery/project_grid.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_project_grid.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_project_grid.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -60,8 +60,6 @@ Stereographic, revealing the checkered pattern of the data.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Geographic grid:
@@ -74,6 +72,12 @@ Stereographic, revealing the checkered pattern of the data.
         checkerboard  (latitude, longitude) float64 0.0 0.0 0.0 ... 90.55 45.51 -0.0
     Attributes:
         metadata:  Generated by CheckerBoard(region=(-3333134.027630276, 3333134....
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
 
     Projected grid:
     <xarray.DataArray 'checkerboard' (y: 134, x: 134)>
@@ -97,7 +101,7 @@ Stereographic, revealing the checkered pattern of the data.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import matplotlib.pyplot as plt
     import pyproj
@@ -148,28 +152,22 @@ Stereographic, revealing the checkered pattern of the data.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.321 seconds)
+   **Total running time of the script:** (0 minutes 2.759 seconds)
 
 
 .. _sphx_glr_download_gallery_project_grid.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: project_grid.py <project_grid.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: project_grid.ipynb <project_grid.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: project_grid.ipynb <project_grid.ipynb>`
+      :download:`Download Python source code: project_grid.py <project_grid.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/sg_execution_times.rst b/dev/_sources/gallery/sg_execution_times.rst
new file mode 100644
index 000000000..f652f1f01
--- /dev/null
+++ b/dev/_sources/gallery/sg_execution_times.rst
@@ -0,0 +1,88 @@
+
+:orphan:
+
+.. _sphx_glr_gallery_sg_execution_times:
+
+
+Computation times
+=================
+**00:47.679** total execution time for 18 files **from gallery**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_gallery_blockkfold.py` (``blockkfold.py``)
+     - 00:18.201
+     - 0.0
+   * - :ref:`sphx_glr_gallery_train_test_split.py` (``train_test_split.py``)
+     - 00:05.499
+     - 0.0
+   * - :ref:`sphx_glr_gallery_convex_hull_mask.py` (``convex_hull_mask.py``)
+     - 00:03.797
+     - 0.0
+   * - :ref:`sphx_glr_gallery_kneighbors_gridder.py` (``kneighbors_gridder.py``)
+     - 00:03.376
+     - 0.0
+   * - :ref:`sphx_glr_gallery_distance_mask.py` (``distance_mask.py``)
+     - 00:02.883
+     - 0.0
+   * - :ref:`sphx_glr_gallery_project_grid.py` (``project_grid.py``)
+     - 00:02.759
+     - 0.0
+   * - :ref:`sphx_glr_gallery_cubic_gridder.py` (``cubic_gridder.py``)
+     - 00:02.498
+     - 0.0
+   * - :ref:`sphx_glr_gallery_linear_gridder.py` (``linear_gridder.py``)
+     - 00:02.466
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline.py` (``spline.py``)
+     - 00:02.385
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce_weights_mean.py` (``blockreduce_weights_mean.py``)
+     - 00:00.793
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline_weights.py` (``spline_weights.py``)
+     - 00:00.625
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline_cv.py` (``spline_cv.py``)
+     - 00:00.564
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce_weights.py` (``blockreduce_weights.py``)
+     - 00:00.561
+     - 0.0
+   * - :ref:`sphx_glr_gallery_trend.py` (``trend.py``)
+     - 00:00.404
+     - 0.0
+   * - :ref:`sphx_glr_gallery_vector_trend.py` (``vector_trend.py``)
+     - 00:00.339
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce.py` (``blockreduce.py``)
+     - 00:00.211
+     - 0.0
+   * - :ref:`sphx_glr_gallery_vector_uncoupled.py` (``vector_uncoupled.py``)
+     - 00:00.205
+     - 0.0
+   * - :ref:`sphx_glr_gallery_checkerboard.py` (``checkerboard.py``)
+     - 00:00.113
+     - 0.0
diff --git a/dev/_sources/gallery/sg_execution_times.rst.txt b/dev/_sources/gallery/sg_execution_times.rst.txt
deleted file mode 100644
index 624f19efd..000000000
--- a/dev/_sources/gallery/sg_execution_times.rst.txt
+++ /dev/null
@@ -1,46 +0,0 @@
-
-:orphan:
-
-.. _sphx_glr_gallery_sg_execution_times:
-
-Computation times
-=================
-**00:43.731** total execution time for **gallery** files:
-
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_blockkfold.py` (``blockkfold.py``)                             | 00:15.754 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_train_test_split.py` (``train_test_split.py``)                 | 00:04.816 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_convex_hull_mask.py` (``convex_hull_mask.py``)                 | 00:03.600 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_project_grid.py` (``project_grid.py``)                         | 00:03.321 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_kneighbors_gridder.py` (``kneighbors_gridder.py``)             | 00:03.303 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_cubic_gridder.py` (``cubic_gridder.py``)                       | 00:02.717 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_linear_gridder.py` (``linear_gridder.py``)                     | 00:02.576 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_distance_mask.py` (``distance_mask.py``)                       | 00:02.466 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_spline.py` (``spline.py``)                                     | 00:01.597 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_blockreduce_weights_mean.py` (``blockreduce_weights_mean.py``) | 00:00.842 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_spline_weights.py` (``spline_weights.py``)                     | 00:00.734 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_blockreduce_weights.py` (``blockreduce_weights.py``)           | 00:00.489 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_trend.py` (``trend.py``)                                       | 00:00.381 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_vector_trend.py` (``vector_trend.py``)                         | 00:00.329 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_spline_cv.py` (``spline_cv.py``)                               | 00:00.271 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_blockreduce.py` (``blockreduce.py``)                           | 00:00.252 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_vector_uncoupled.py` (``vector_uncoupled.py``)                 | 00:00.161 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_gallery_checkerboard.py` (``checkerboard.py``)                         | 00:00.121 | 0.0 MB |
-+---------------------------------------------------------------------------------------+-----------+--------+
diff --git a/dev/_sources/gallery/spline.rst.txt b/dev/_sources/gallery/spline.rst
similarity index 75%
rename from dev/_sources/gallery/spline.rst.txt
rename to dev/_sources/gallery/spline.rst
index 0fe9ac64f..2954e7341 100644
--- a/dev/_sources/gallery/spline.rst.txt
+++ b/dev/_sources/gallery/spline.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_spline.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_spline.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -47,14 +47,18 @@ model evaluation.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Chain(steps=[('mean',
-                  BlockReduce(reduction=<function mean at 0x7fbfeacb2280>,
+                  BlockReduce(reduction=<function mean at 0x7f7a63577eb0>,
                               spacing=27750.0)),
                  ('spline', Spline(damping=1e-10, mindist=0))])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
     /home/runner/work/verde/verde/doc/gallery_src/spline.py:67: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = chain.score(*test)
 
@@ -76,7 +80,7 @@ model evaluation.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -154,28 +158,22 @@ model evaluation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.597 seconds)
+   **Total running time of the script:** (0 minutes 2.385 seconds)
 
 
 .. _sphx_glr_download_gallery_spline.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: spline.py <spline.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: spline.ipynb <spline.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: spline.ipynb <spline.ipynb>`
+      :download:`Download Python source code: spline.py <spline.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/spline_cv.rst b/dev/_sources/gallery/spline_cv.rst
new file mode 100644
index 000000000..c4b512aed
--- /dev/null
+++ b/dev/_sources/gallery/spline_cv.rst
@@ -0,0 +1,251 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "gallery/spline_cv.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        :ref:`Go to the end <sphx_glr_download_gallery_spline_cv.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_gallery_spline_cv.py:
+
+
+Gridding with splines (cross-validated)
+=======================================
+
+The :class:`verde.Spline` has one main parameter that needs to be configured:
+
+* ``damping``: the regularization parameter controlling smoothness
+
+This parameter can be determined through cross-validation (see
+:ref:`model_selection`) automatically using :class:`verde.SplineCV`. It is very
+similar to :class:`verde.Spline` but takes a set of parameter values instead of
+only one value. When calling :meth:`verde.SplineCV.fit`, the class will:
+
+1. Create a spline for each input parameter value
+2. Calculate the cross-validation score for each spline using
+   :func:`verde.cross_val_score`
+3. Pick the spline with the highest score
+
+.. GENERATED FROM PYTHON SOURCE LINES 26-85
+
+
+
+.. image-sg:: /gallery/images/sphx_glr_spline_cv_001.png
+   :alt: spline cv
+   :srcset: /gallery/images/sphx_glr_spline_cv_001.png
+   :class: sphx-glr-single-img
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      self.spline_ = Spline(**parameter_sets[best])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+
+    Score: 0.854
+
+    Best damping: 1e-05
+
+
+
+
+
+
+|
+
+.. code-block:: Python
+
+    import cartopy.crs as ccrs
+    import matplotlib.pyplot as plt
+    import pyproj
+
+    import verde as vd
+
+    # We'll test this on the air temperature data from Texas
+    data = vd.datasets.fetch_texas_wind()
+    coordinates = (data.longitude.values, data.latitude.values)
+    region = vd.get_region(coordinates)
+
+    # Use a Mercator projection for our Cartesian gridder
+    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
+
+    # The output grid spacing will 15 arc-minutes
+    spacing = 15 / 60
+
+    # This spline will automatically perform cross-validation and search for the
+    # optimal parameter configuration.
+    spline = vd.SplineCV(dampings=(1e-5, 1e-3, 1e-1))
+
+    # Fit the model on the data. Under the hood, the class will perform K-fold
+    # cross-validation for each the 3 parameter values and pick the one with the
+    # highest score.
+    spline.fit(projection(*coordinates), data.air_temperature_c)
+
+    # We can show the best R² score obtained in the cross-validation
+    print("\nScore: {:.3f}".format(spline.scores_.max()))
+
+    # And then the best damping parameter that produced this high score.
+    print("\nBest damping:", spline.damping_)
+
+    # Now we can create a geographic grid of air temperature by providing a
+    # projection function to the grid method and mask points that are too far from
+    # the observations
+    grid_full = spline.grid(
+        region=region,
+        spacing=spacing,
+        projection=projection,
+        dims=["latitude", "longitude"],
+        data_names="temperature",
+    )
+    grid = vd.distance_mask(
+        coordinates, maxdist=3 * spacing * 111e3, grid=grid_full, projection=projection
+    )
+
+    # Plot the grid and the original data points
+    plt.figure(figsize=(8, 6))
+    ax = plt.axes(projection=ccrs.Mercator())
+    ax.set_title("Air temperature gridded with biharmonic spline")
+    ax.plot(*coordinates, ".k", markersize=1, transform=ccrs.PlateCarree())
+    tmp = grid.temperature.plot.pcolormesh(
+        ax=ax, cmap="plasma", transform=ccrs.PlateCarree(), add_colorbar=False
+    )
+    plt.colorbar(tmp).set_label("Air temperature (C)")
+    # Use an utility function to add tick labels and land and ocean features to the
+    # map.
+    vd.datasets.setup_texas_wind_map(ax, region=region)
+    plt.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** (0 minutes 0.564 seconds)
+
+
+.. _sphx_glr_download_gallery_spline_cv.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: spline_cv.ipynb <spline_cv.ipynb>`
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: spline_cv.py <spline_cv.py>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/gallery/spline_cv.rst.txt b/dev/_sources/gallery/spline_cv.rst.txt
deleted file mode 100644
index 04833bd5e..000000000
--- a/dev/_sources/gallery/spline_cv.rst.txt
+++ /dev/null
@@ -1,227 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "gallery/spline_cv.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_gallery_spline_cv.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_gallery_spline_cv.py:
-
-
-Gridding with splines (cross-validated)
-=======================================
-
-The :class:`verde.Spline` has one main parameter that needs to be configured:
-
-* ``damping``: the regularization parameter controlling smoothness
-
-This parameter can be determined through cross-validation (see
-:ref:`model_selection`) automatically using :class:`verde.SplineCV`. It is very
-similar to :class:`verde.Spline` but takes a set of parameter values instead of
-only one value. When calling :meth:`verde.SplineCV.fit`, the class will:
-
-1. Create a spline for each input parameter value
-2. Calculate the cross-validation score for each spline using
-   :func:`verde.cross_val_score`
-3. Pick the spline with the highest score
-
-.. GENERATED FROM PYTHON SOURCE LINES 26-85
-
-
-
-.. image-sg:: /gallery/images/sphx_glr_spline_cv_001.png
-   :alt: spline cv
-   :srcset: /gallery/images/sphx_glr_spline_cv_001.png
-   :class: sphx-glr-single-img
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      self.spline_ = Spline(**parameter_sets[best])
-
-    Score: 0.854
-
-    Best damping: 1e-05
-
-
-
-
-
-
-|
-
-.. code-block:: default
-
-    import cartopy.crs as ccrs
-    import matplotlib.pyplot as plt
-    import pyproj
-
-    import verde as vd
-
-    # We'll test this on the air temperature data from Texas
-    data = vd.datasets.fetch_texas_wind()
-    coordinates = (data.longitude.values, data.latitude.values)
-    region = vd.get_region(coordinates)
-
-    # Use a Mercator projection for our Cartesian gridder
-    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
-
-    # The output grid spacing will 15 arc-minutes
-    spacing = 15 / 60
-
-    # This spline will automatically perform cross-validation and search for the
-    # optimal parameter configuration.
-    spline = vd.SplineCV(dampings=(1e-5, 1e-3, 1e-1))
-
-    # Fit the model on the data. Under the hood, the class will perform K-fold
-    # cross-validation for each the 3 parameter values and pick the one with the
-    # highest score.
-    spline.fit(projection(*coordinates), data.air_temperature_c)
-
-    # We can show the best R² score obtained in the cross-validation
-    print("\nScore: {:.3f}".format(spline.scores_.max()))
-
-    # And then the best damping parameter that produced this high score.
-    print("\nBest damping:", spline.damping_)
-
-    # Now we can create a geographic grid of air temperature by providing a
-    # projection function to the grid method and mask points that are too far from
-    # the observations
-    grid_full = spline.grid(
-        region=region,
-        spacing=spacing,
-        projection=projection,
-        dims=["latitude", "longitude"],
-        data_names="temperature",
-    )
-    grid = vd.distance_mask(
-        coordinates, maxdist=3 * spacing * 111e3, grid=grid_full, projection=projection
-    )
-
-    # Plot the grid and the original data points
-    plt.figure(figsize=(8, 6))
-    ax = plt.axes(projection=ccrs.Mercator())
-    ax.set_title("Air temperature gridded with biharmonic spline")
-    ax.plot(*coordinates, ".k", markersize=1, transform=ccrs.PlateCarree())
-    tmp = grid.temperature.plot.pcolormesh(
-        ax=ax, cmap="plasma", transform=ccrs.PlateCarree(), add_colorbar=False
-    )
-    plt.colorbar(tmp).set_label("Air temperature (C)")
-    # Use an utility function to add tick labels and land and ocean features to the
-    # map.
-    vd.datasets.setup_texas_wind_map(ax, region=region)
-    plt.show()
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.271 seconds)
-
-
-.. _sphx_glr_download_gallery_spline_cv.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: spline_cv.py <spline_cv.py>`
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-     :download:`Download Jupyter notebook: spline_cv.ipynb <spline_cv.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/gallery/spline_weights.rst.txt b/dev/_sources/gallery/spline_weights.rst
similarity index 82%
rename from dev/_sources/gallery/spline_weights.rst.txt
rename to dev/_sources/gallery/spline_weights.rst
index f6436d080..ed17e6669 100644
--- a/dev/_sources/gallery/spline_weights.rst.txt
+++ b/dev/_sources/gallery/spline_weights.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_spline_weights.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_spline_weights.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -39,16 +39,18 @@ and use weights based on the data uncertainty during gridding.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Chain(steps=[('mean', BlockMean(spacing=9250.0, uncertainty=True)),
                  ('spline', Spline(damping=1e-10, mindist=0))])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
     /home/runner/work/verde/verde/doc/gallery_src/spline_weights.py:58: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = chain.score(*test)
 
-    Score: 0.820
+    Score: 0.819
 
 
 
@@ -57,7 +59,7 @@ and use weights based on the data uncertainty during gridding.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -160,28 +162,22 @@ and use weights based on the data uncertainty during gridding.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.734 seconds)
+   **Total running time of the script:** (0 minutes 0.625 seconds)
 
 
 .. _sphx_glr_download_gallery_spline_weights.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: spline_weights.py <spline_weights.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: spline_weights.ipynb <spline_weights.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: spline_weights.ipynb <spline_weights.ipynb>`
+      :download:`Download Python source code: spline_weights.py <spline_weights.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/train_test_split.rst.txt b/dev/_sources/gallery/train_test_split.rst
similarity index 85%
rename from dev/_sources/gallery/train_test_split.rst.txt
rename to dev/_sources/gallery/train_test_split.rst
index 5fc46bd7f..88cbcb689 100644
--- a/dev/_sources/gallery/train_test_split.rst.txt
+++ b/dev/_sources/gallery/train_test_split.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_train_test_split.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_train_test_split.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -54,10 +54,10 @@ This example compares splitting our sample dataset using both methods.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
     Train and test size for random splits: 66376 16594
     Train and test size for block splits:  66585 16385
 
@@ -68,7 +68,7 @@ This example compares splitting our sample dataset using both methods.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -139,28 +139,22 @@ This example compares splitting our sample dataset using both methods.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  4.816 seconds)
+   **Total running time of the script:** (0 minutes 5.499 seconds)
 
 
 .. _sphx_glr_download_gallery_train_test_split.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: train_test_split.py <train_test_split.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: train_test_split.ipynb <train_test_split.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: train_test_split.ipynb <train_test_split.ipynb>`
+      :download:`Download Python source code: train_test_split.py <train_test_split.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/trend.rst.txt b/dev/_sources/gallery/trend.rst
similarity index 85%
rename from dev/_sources/gallery/trend.rst.txt
rename to dev/_sources/gallery/trend.rst
index 482b4febb..e622c57e9 100644
--- a/dev/_sources/gallery/trend.rst.txt
+++ b/dev/_sources/gallery/trend.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_trend.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_trend.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -39,8 +39,6 @@ temperature dataset (:func:`verde.datasets.fetch_texas_wind`).
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Original data:
@@ -52,6 +50,8 @@ temperature dataset (:func:`verde.datasets.fetch_texas_wind`).
     4        5C1   -98.6946  ...               1.271400                1.090743
 
     [5 rows x 6 columns]
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
 
     Trend estimator: Trend(degree=1)
 
@@ -72,7 +72,7 @@ temperature dataset (:func:`verde.datasets.fetch_texas_wind`).
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -150,28 +150,22 @@ temperature dataset (:func:`verde.datasets.fetch_texas_wind`).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.381 seconds)
+   **Total running time of the script:** (0 minutes 0.404 seconds)
 
 
 .. _sphx_glr_download_gallery_trend.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: trend.py <trend.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: trend.ipynb <trend.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: trend.ipynb <trend.ipynb>`
+      :download:`Download Python source code: trend.py <trend.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/vector_trend.rst.txt b/dev/_sources/gallery/vector_trend.rst
similarity index 83%
rename from dev/_sources/gallery/vector_trend.rst.txt
rename to dev/_sources/gallery/vector_trend.rst
index fa4459f50..b8b0b7b24 100644
--- a/dev/_sources/gallery/vector_trend.rst.txt
+++ b/dev/_sources/gallery/vector_trend.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_vector_trend.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_vector_trend.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -41,10 +41,12 @@ all vector components directly using using :meth:`verde.Vector.predict`,
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
     Vector trend estimator: Vector(components=[Trend(degree=2), Trend(degree=2)])
     East component trend: Trend(degree=2)
     East trend coefficients: [-2.63027348e+01  1.65325273e-01  3.15539485e-01 -2.54890059e-04
@@ -76,7 +78,7 @@ all vector components directly using using :meth:`verde.Vector.predict`,
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -160,28 +162,22 @@ all vector components directly using using :meth:`verde.Vector.predict`,
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.329 seconds)
+   **Total running time of the script:** (0 minutes 0.339 seconds)
 
 
 .. _sphx_glr_download_gallery_vector_trend.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: vector_trend.py <vector_trend.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: vector_trend.ipynb <vector_trend.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: vector_trend.ipynb <vector_trend.ipynb>`
+      :download:`Download Python source code: vector_trend.py <vector_trend.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/gallery/vector_uncoupled.rst.txt b/dev/_sources/gallery/vector_uncoupled.rst
similarity index 76%
rename from dev/_sources/gallery/vector_uncoupled.rst.txt
rename to dev/_sources/gallery/vector_uncoupled.rst
index 53df10002..f18472f2c 100644
--- a/dev/_sources/gallery/vector_uncoupled.rst.txt
+++ b/dev/_sources/gallery/vector_uncoupled.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_gallery_vector_uncoupled.py>`
+        :ref:`Go to the end <sphx_glr_download_gallery_vector_uncoupled.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -41,8 +41,6 @@ pipeline.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
       station_id  longitude  ...  wind_speed_east_knots  wind_speed_north_knots
@@ -53,13 +51,19 @@ pipeline.
     4        5C1   -98.6946  ...               1.271400                1.090743
 
     [5 rows x 6 columns]
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
     Chain(steps=[('mean',
-                  BlockReduce(reduction=<function mean at 0x7fbfeacb2280>,
+                  BlockReduce(reduction=<function mean at 0x7f7a63577eb0>,
                               spacing=37000.0)),
                  ('trend', Vector(components=[Trend(degree=1), Trend(degree=1)])),
                  ('spline',
                   Vector(components=[Spline(damping=1e-10, mindist=0),
                                      Spline(damping=1e-10, mindist=0)]))])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
     /home/runner/work/verde/verde/doc/gallery_src/vector_uncoupled.py:68: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = chain.score(*test)
     Cross-validation R^2 score: 0.77
@@ -71,7 +75,7 @@ pipeline.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -170,28 +174,22 @@ pipeline.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.161 seconds)
+   **Total running time of the script:** (0 minutes 0.205 seconds)
 
 
 .. _sphx_glr_download_gallery_vector_uncoupled.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: vector_uncoupled.py <vector_uncoupled.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: vector_uncoupled.ipynb <vector_uncoupled.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: vector_uncoupled.ipynb <vector_uncoupled.ipynb>`
+      :download:`Download Python source code: vector_uncoupled.py <vector_uncoupled.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/index.rst.txt b/dev/_sources/index.rst
similarity index 95%
rename from dev/_sources/index.rst.txt
rename to dev/_sources/index.rst
index e63e87357..80332e664 100644
--- a/dev/_sources/index.rst.txt
+++ b/dev/_sources/index.rst
@@ -5,6 +5,13 @@
     :margin: 5 5 0 0
     :padding: 0 0 0 0
 
+    .. grid-item::
+        :columns: 12 4 12 4
+
+        .. image:: ./_static/verde-logo.svg
+            :width: 200px
+            :class: sd-m-auto dark-light
+
     .. grid-item::
         :columns: 12 8 12 8
 
@@ -16,19 +23,12 @@
 
                 .. raw:: html
 
-                    <h1 class="display-1"><img src="_static/verde-title.svg" alt="Verde"></h1>
+                    <h1 class="display-1"><img class="dark-light" src="_static/verde-title.svg" alt="Verde"></h1>
 
         .. div:: sd-fs-3
 
             Processing and gridding spatial data, machine-learning style
 
-    .. grid-item::
-        :columns: 12 4 12 4
-
-        .. image:: ./_static/verde-logo.svg
-            :width: 200px
-            :class: sd-m-auto
-
 **Verde** is a Python library for processing spatial data (bathymetry,
 geophysics surveys, etc) and interpolating it on regular grids (i.e.,
 *gridding*).
diff --git a/dev/_sources/install.rst.txt b/dev/_sources/install.rst
similarity index 100%
rename from dev/_sources/install.rst.txt
rename to dev/_sources/install.rst
diff --git a/dev/_sources/references.rst.txt b/dev/_sources/references.rst
similarity index 100%
rename from dev/_sources/references.rst.txt
rename to dev/_sources/references.rst
diff --git a/dev/_sources/sg_execution_times.rst b/dev/_sources/sg_execution_times.rst
new file mode 100644
index 000000000..b561d7c04
--- /dev/null
+++ b/dev/_sources/sg_execution_times.rst
@@ -0,0 +1,118 @@
+
+:orphan:
+
+.. _sphx_glr_sg_execution_times:
+
+
+Computation times
+=================
+**01:02.604** total execution time for 28 files **from all galleries**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_gallery_blockkfold.py` (``gallery_src/blockkfold.py``)
+     - 00:18.201
+     - 0.0
+   * - :ref:`sphx_glr_gallery_train_test_split.py` (``gallery_src/train_test_split.py``)
+     - 00:05.499
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_chain.py` (``tutorials_src/chain.py``)
+     - 00:04.145
+     - 0.0
+   * - :ref:`sphx_glr_gallery_convex_hull_mask.py` (``gallery_src/convex_hull_mask.py``)
+     - 00:03.797
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_decimation.py` (``tutorials_src/decimation.py``)
+     - 00:03.409
+     - 0.0
+   * - :ref:`sphx_glr_gallery_kneighbors_gridder.py` (``gallery_src/kneighbors_gridder.py``)
+     - 00:03.376
+     - 0.0
+   * - :ref:`sphx_glr_gallery_distance_mask.py` (``gallery_src/distance_mask.py``)
+     - 00:02.883
+     - 0.0
+   * - :ref:`sphx_glr_gallery_project_grid.py` (``gallery_src/project_grid.py``)
+     - 00:02.759
+     - 0.0
+   * - :ref:`sphx_glr_gallery_cubic_gridder.py` (``gallery_src/cubic_gridder.py``)
+     - 00:02.498
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_weights.py` (``tutorials_src/weights.py``)
+     - 00:02.482
+     - 0.0
+   * - :ref:`sphx_glr_gallery_linear_gridder.py` (``gallery_src/linear_gridder.py``)
+     - 00:02.466
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline.py` (``gallery_src/spline.py``)
+     - 00:02.385
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_projections.py` (``tutorials_src/projections.py``)
+     - 00:01.296
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_vectors.py` (``tutorials_src/vectors.py``)
+     - 00:01.255
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_model_evaluation.py` (``tutorials_src/model_evaluation.py``)
+     - 00:00.806
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce_weights_mean.py` (``gallery_src/blockreduce_weights_mean.py``)
+     - 00:00.793
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline_weights.py` (``gallery_src/spline_weights.py``)
+     - 00:00.625
+     - 0.0
+   * - :ref:`sphx_glr_gallery_spline_cv.py` (``gallery_src/spline_cv.py``)
+     - 00:00.564
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce_weights.py` (``gallery_src/blockreduce_weights.py``)
+     - 00:00.561
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_model_selection.py` (``tutorials_src/model_selection.py``)
+     - 00:00.551
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_overview.py` (``tutorials_src/overview.py``)
+     - 00:00.466
+     - 0.0
+   * - :ref:`sphx_glr_gallery_trend.py` (``gallery_src/trend.py``)
+     - 00:00.404
+     - 0.0
+   * - :ref:`sphx_glr_gallery_vector_trend.py` (``gallery_src/vector_trend.py``)
+     - 00:00.339
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_trends.py` (``tutorials_src/trends.py``)
+     - 00:00.317
+     - 0.0
+   * - :ref:`sphx_glr_gallery_blockreduce.py` (``gallery_src/blockreduce.py``)
+     - 00:00.211
+     - 0.0
+   * - :ref:`sphx_glr_gallery_vector_uncoupled.py` (``gallery_src/vector_uncoupled.py``)
+     - 00:00.205
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_grid_coordinates.py` (``tutorials_src/grid_coordinates.py``)
+     - 00:00.197
+     - 0.0
+   * - :ref:`sphx_glr_gallery_checkerboard.py` (``gallery_src/checkerboard.py``)
+     - 00:00.113
+     - 0.0
diff --git a/dev/_sources/tutorials/chain.rst.txt b/dev/_sources/tutorials/chain.rst
similarity index 57%
rename from dev/_sources/tutorials/chain.rst.txt
rename to dev/_sources/tutorials/chain.rst
index f4836edcd..add0deced 100644
--- a/dev/_sources/tutorials/chain.rst.txt
+++ b/dev/_sources/tutorials/chain.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_chain.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_chain.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -51,7 +51,7 @@ For example, let's create a pipeline to grid our sample bathymetry data.
 
 .. GENERATED FROM PYTHON SOURCE LINES 39-69
 
-.. code-block:: default
+.. code-block:: Python
 
     import matplotlib.pyplot as plt
     import numpy as np
@@ -94,11 +94,10 @@ For example, let's create a pipeline to grid our sample bathymetry data.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    <IPython.core.display.Image object>
+    /home/runner/work/verde/verde/doc/tutorials_src/chain.py:57: FutureWarning: The 'color' parameter has been deprecated since v0.8.0 and will be removed in v0.12.0. Please use 'fill' instead.
+      fig.plot(
 
 
 
@@ -110,7 +109,7 @@ polynomial trend, and then fits a standard gridder to the trend residuals.
 
 .. GENERATED FROM PYTHON SOURCE LINES 72-82
 
-.. code-block:: default
+.. code-block:: Python
 
 
     chain = vd.Chain(
@@ -128,12 +127,10 @@ polynomial trend, and then fits a standard gridder to the trend residuals.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Chain(steps=[('reduce',
-                  BlockReduce(reduction=<function median at 0x7fbfeab95280>,
+                  BlockReduce(reduction=<function median at 0x7f7a634c5ef0>,
                               spacing=18500.0)),
                  ('trend', Trend(degree=1)), ('spline', Spline(mindist=0))])
 
@@ -151,7 +148,7 @@ chain:
 
 .. GENERATED FROM PYTHON SOURCE LINES 89-92
 
-.. code-block:: default
+.. code-block:: Python
 
 
     chain.fit(proj_coords, data.bathymetry_m)
@@ -160,17 +157,432 @@ chain:
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
+
 
 .. raw:: html
 
     <div class="output_subarea output_html rendered_html output_result">
-    <style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Chain(steps=[(&#x27;reduce&#x27;,
-                  BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+    <style>#sk-container-id-1 {
+      /* Definition of color scheme common for light and dark mode */
+      --sklearn-color-text: black;
+      --sklearn-color-line: gray;
+      /* Definition of color scheme for unfitted estimators */
+      --sklearn-color-unfitted-level-0: #fff5e6;
+      --sklearn-color-unfitted-level-1: #f6e4d2;
+      --sklearn-color-unfitted-level-2: #ffe0b3;
+      --sklearn-color-unfitted-level-3: chocolate;
+      /* Definition of color scheme for fitted estimators */
+      --sklearn-color-fitted-level-0: #f0f8ff;
+      --sklearn-color-fitted-level-1: #d4ebff;
+      --sklearn-color-fitted-level-2: #b3dbfd;
+      --sklearn-color-fitted-level-3: cornflowerblue;
+
+      /* Specific color for light theme */
+      --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+      --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-icon: #696969;
+
+      @media (prefers-color-scheme: dark) {
+        /* Redefinition of color scheme for dark theme */
+        --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+        --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-icon: #878787;
+      }
+    }
+
+    #sk-container-id-1 {
+      color: var(--sklearn-color-text);
+    }
+
+    #sk-container-id-1 pre {
+      padding: 0;
+    }
+
+    #sk-container-id-1 input.sk-hidden--visually {
+      border: 0;
+      clip: rect(1px 1px 1px 1px);
+      clip: rect(1px, 1px, 1px, 1px);
+      height: 1px;
+      margin: -1px;
+      overflow: hidden;
+      padding: 0;
+      position: absolute;
+      width: 1px;
+    }
+
+    #sk-container-id-1 div.sk-dashed-wrapped {
+      border: 1px dashed var(--sklearn-color-line);
+      margin: 0 0.4em 0.5em 0.4em;
+      box-sizing: border-box;
+      padding-bottom: 0.4em;
+      background-color: var(--sklearn-color-background);
+    }
+
+    #sk-container-id-1 div.sk-container {
+      /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+         but bootstrap.min.css set `[hidden] { display: none !important; }`
+         so we also need the `!important` here to be able to override the
+         default hidden behavior on the sphinx rendered scikit-learn.org.
+         See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+      display: inline-block !important;
+      position: relative;
+    }
+
+    #sk-container-id-1 div.sk-text-repr-fallback {
+      display: none;
+    }
+
+    div.sk-parallel-item,
+    div.sk-serial,
+    div.sk-item {
+      /* draw centered vertical line to link estimators */
+      background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+      background-size: 2px 100%;
+      background-repeat: no-repeat;
+      background-position: center center;
+    }
+
+    /* Parallel-specific style estimator block */
+
+    #sk-container-id-1 div.sk-parallel-item::after {
+      content: "";
+      width: 100%;
+      border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+      flex-grow: 1;
+    }
+
+    #sk-container-id-1 div.sk-parallel {
+      display: flex;
+      align-items: stretch;
+      justify-content: center;
+      background-color: var(--sklearn-color-background);
+      position: relative;
+    }
+
+    #sk-container-id-1 div.sk-parallel-item {
+      display: flex;
+      flex-direction: column;
+    }
+
+    #sk-container-id-1 div.sk-parallel-item:first-child::after {
+      align-self: flex-end;
+      width: 50%;
+    }
+
+    #sk-container-id-1 div.sk-parallel-item:last-child::after {
+      align-self: flex-start;
+      width: 50%;
+    }
+
+    #sk-container-id-1 div.sk-parallel-item:only-child::after {
+      width: 0;
+    }
+
+    /* Serial-specific style estimator block */
+
+    #sk-container-id-1 div.sk-serial {
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      background-color: var(--sklearn-color-background);
+      padding-right: 1em;
+      padding-left: 1em;
+    }
+
+
+    /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+    clickable and can be expanded/collapsed.
+    - Pipeline and ColumnTransformer use this feature and define the default style
+    - Estimators will overwrite some part of the style using the `sk-estimator` class
+    */
+
+    /* Pipeline and ColumnTransformer style (default) */
+
+    #sk-container-id-1 div.sk-toggleable {
+      /* Default theme specific background. It is overwritten whether we have a
+      specific estimator or a Pipeline/ColumnTransformer */
+      background-color: var(--sklearn-color-background);
+    }
+
+    /* Toggleable label */
+    #sk-container-id-1 label.sk-toggleable__label {
+      cursor: pointer;
+      display: block;
+      width: 100%;
+      margin-bottom: 0;
+      padding: 0.5em;
+      box-sizing: border-box;
+      text-align: center;
+    }
+
+    #sk-container-id-1 label.sk-toggleable__label-arrow:before {
+      /* Arrow on the left of the label */
+      content: "▸";
+      float: left;
+      margin-right: 0.25em;
+      color: var(--sklearn-color-icon);
+    }
+
+    #sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+      color: var(--sklearn-color-text);
+    }
+
+    /* Toggleable content - dropdown */
+
+    #sk-container-id-1 div.sk-toggleable__content {
+      max-height: 0;
+      max-width: 0;
+      overflow: hidden;
+      text-align: left;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-1 div.sk-toggleable__content.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-1 div.sk-toggleable__content pre {
+      margin: 0.2em;
+      border-radius: 0.25em;
+      color: var(--sklearn-color-text);
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-1 div.sk-toggleable__content.fitted pre {
+      /* unfitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+      /* Expand drop-down */
+      max-height: 200px;
+      max-width: 100%;
+      overflow: auto;
+    }
+
+    #sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+      content: "▾";
+    }
+
+    /* Pipeline/ColumnTransformer-specific style */
+
+    #sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator-specific style */
+
+    /* Colorize estimator box */
+    #sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    #sk-container-id-1 div.sk-label label.sk-toggleable__label,
+    #sk-container-id-1 div.sk-label label {
+      /* The background is the default theme color */
+      color: var(--sklearn-color-text-on-default-background);
+    }
+
+    /* On hover, darken the color of the background */
+    #sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    /* Label box, darken color on hover, fitted */
+    #sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator label */
+
+    #sk-container-id-1 div.sk-label label {
+      font-family: monospace;
+      font-weight: bold;
+      display: inline-block;
+      line-height: 1.2em;
+    }
+
+    #sk-container-id-1 div.sk-label-container {
+      text-align: center;
+    }
+
+    /* Estimator-specific */
+    #sk-container-id-1 div.sk-estimator {
+      font-family: monospace;
+      border: 1px dotted var(--sklearn-color-border-box);
+      border-radius: 0.25em;
+      box-sizing: border-box;
+      margin-bottom: 0.5em;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-1 div.sk-estimator.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    /* on hover */
+    #sk-container-id-1 div.sk-estimator:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-1 div.sk-estimator.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Specification for estimator info (e.g. "i" and "?") */
+
+    /* Common style for "i" and "?" */
+
+    .sk-estimator-doc-link,
+    a:link.sk-estimator-doc-link,
+    a:visited.sk-estimator-doc-link {
+      float: right;
+      font-size: smaller;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1em;
+      height: 1em;
+      width: 1em;
+      text-decoration: none !important;
+      margin-left: 1ex;
+      /* unfitted */
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+      color: var(--sklearn-color-unfitted-level-1);
+    }
+
+    .sk-estimator-doc-link.fitted,
+    a:link.sk-estimator-doc-link.fitted,
+    a:visited.sk-estimator-doc-link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    div.sk-estimator:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    /* Span, style for the box shown on hovering the info icon */
+    .sk-estimator-doc-link span {
+      display: none;
+      z-index: 9999;
+      position: relative;
+      font-weight: normal;
+      right: .2ex;
+      padding: .5ex;
+      margin: .5ex;
+      width: min-content;
+      min-width: 20ex;
+      max-width: 50ex;
+      color: var(--sklearn-color-text);
+      box-shadow: 2pt 2pt 4pt #999;
+      /* unfitted */
+      background: var(--sklearn-color-unfitted-level-0);
+      border: .5pt solid var(--sklearn-color-unfitted-level-3);
+    }
+
+    .sk-estimator-doc-link.fitted span {
+      /* fitted */
+      background: var(--sklearn-color-fitted-level-0);
+      border: var(--sklearn-color-fitted-level-3);
+    }
+
+    .sk-estimator-doc-link:hover span {
+      display: block;
+    }
+
+    /* "?"-specific style due to the `<a>` HTML tag */
+
+    #sk-container-id-1 a.estimator_doc_link {
+      float: right;
+      font-size: 1rem;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1rem;
+      height: 1rem;
+      width: 1rem;
+      text-decoration: none;
+      /* unfitted */
+      color: var(--sklearn-color-unfitted-level-1);
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+    }
+
+    #sk-container-id-1 a.estimator_doc_link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    #sk-container-id-1 a.estimator_doc_link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    #sk-container-id-1 a.estimator_doc_link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+    }
+    </style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Chain(steps=[(&#x27;reduce&#x27;,
+                  BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                               spacing=18500.0)),
-                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label sk-toggleable__label-arrow">Chain</label><div class="sk-toggleable__content"><pre>Chain(steps=[(&#x27;reduce&#x27;,
-                  BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Chain<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Chain(steps=[(&#x27;reduce&#x27;,
+                  BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                               spacing=18500.0)),
-                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre></div></div></div></div></div>
+                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre></div> </div></div></div></div>
     </div>
     <br />
     <br />
@@ -189,7 +601,7 @@ perfect.
 
 .. GENERATED FROM PYTHON SOURCE LINES 102-112
 
-.. code-block:: default
+.. code-block:: Python
 
 
     residuals = data.bathymetry_m - chain.predict(proj_coords)
@@ -221,7 +633,7 @@ procedure that should be familiar to the geodesists among us.
 
 .. GENERATED FROM PYTHON SOURCE LINES 116-132
 
-.. code-block:: default
+.. code-block:: Python
 
 
     grid = chain.grid(
@@ -618,7 +1030,7 @@ procedure that should be familiar to the geodesists among us.
     Data variables:
         bathymetry  (latitude, longitude) float64 -3.621e+03 -3.709e+03 ... nan nan
     Attributes:
-        metadata:  Generated by Chain(steps=[(&#x27;reduce&#x27;,\n              BlockReduc...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f877f9c0-1d61-4eac-b0df-c8184f368d56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f877f9c0-1d61-4eac-b0df-c8184f368d56' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e3ccbadb-21e8-4d52-ab5d-7f8438da43e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3ccbadb-21e8-4d52-ab5d-7f8438da43e3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-3a33a454-1011-413e-a56e-c4b40d04beac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a33a454-1011-413e-a56e-c4b40d04beac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22ae43f2-3765-4065-bc4f-6414cc19efbe' class='xr-var-data-in' type='checkbox'><label for='data-22ae43f2-3765-4065-bc4f-6414cc19efbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
+        metadata:  Generated by Chain(steps=[(&#x27;reduce&#x27;,\n              BlockReduc...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2a2ddd89-5adb-4e5a-87f2-c96a69ed9dcd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a2ddd89-5adb-4e5a-87f2-c96a69ed9dcd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4320cb6f-49b0-46f2-919e-0d359f8872f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4320cb6f-49b0-46f2-919e-0d359f8872f3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-556e7e8d-fd54-4248-a998-ece5d07fd7d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-556e7e8d-fd54-4248-a998-ece5d07fd7d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-615e781b-8c9e-475a-babb-8c7fa4606f4a' class='xr-var-data-in' type='checkbox'><label for='data-615e781b-8c9e-475a-babb-8c7fa4606f4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
            246.003966, 246.171293, 246.338621, 246.505948, 246.673276, 246.840603,
            247.007931, 247.175259, 247.342586, 247.509914, 247.677241, 247.844569,
            248.011897, 248.179224, 248.346552, 248.513879, 248.681207, 248.848534,
@@ -627,7 +1039,7 @@ procedure that should be familiar to the geodesists among us.
            251.023793, 251.191121, 251.358448, 251.525776, 251.693103, 251.860431,
            252.027759, 252.195086, 252.362414, 252.529741, 252.697069, 252.864397,
            253.031724, 253.199052, 253.366379, 253.533707, 253.701034, 253.868362,
-           254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-6ad77aad-77cb-4b1d-bd33-1e3995b1d2d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ad77aad-77cb-4b1d-bd33-1e3995b1d2d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d14c1064-761a-48f9-8672-1a4f0a9d8efd' class='xr-var-data-in' type='checkbox'><label for='data-d14c1064-761a-48f9-8672-1a4f0a9d8efd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
+           254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-2a1bee82-96d5-46e0-a106-fc46cc2c1099' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a1bee82-96d5-46e0-a106-fc46cc2c1099' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c643c0f-def6-49c3-b06f-79c074541fb8' class='xr-var-data-in' type='checkbox'><label for='data-7c643c0f-def6-49c3-b06f-79c074541fb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
            20.999131, 21.165653, 21.332175, 21.498697, 21.665218, 21.83174 ,
            21.998262, 22.164784, 22.331306, 22.497827, 22.664349, 22.830871,
            22.997393, 23.163915, 23.330437, 23.496958, 23.66348 , 23.830002,
@@ -637,64 +1049,64 @@ procedure that should be familiar to the geodesists among us.
            26.993917, 27.160439, 27.326961, 27.493482, 27.660004, 27.826526,
            27.993048, 28.15957 , 28.326092, 28.492613, 28.659135, 28.825657,
            28.992179, 29.158701, 29.325223, 29.491744, 29.658266, 29.824788,
-           29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c46874d7-4a46-40d6-a4e6-4390d58613f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c46874d7-4a46-40d6-a4e6-4390d58613f7' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.621e+03 -3.709e+03 ... nan nan</div><input id='attrs-b92f1cef-61b5-49bc-9c85-b0b746415577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b92f1cef-61b5-49bc-9c85-b0b746415577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce8e09e-d0cf-4067-ac00-1c87a82c88fb' class='xr-var-data-in' type='checkbox'><label for='data-4ce8e09e-d0cf-4067-ac00-1c87a82c88fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
-                  BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+           29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7790e58-2dae-4d98-a567-cd2a5961330d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7790e58-2dae-4d98-a567-cd2a5961330d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.621e+03 -3.709e+03 ... nan nan</div><input id='attrs-842f1edd-ee7f-4af1-bc18-fe168aa9fb54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842f1edd-ee7f-4af1-bc18-fe168aa9fb54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b770f352-a714-4df9-8530-6610f7a499a1' class='xr-var-data-in' type='checkbox'><label for='data-b770f352-a714-4df9-8530-6610f7a499a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
+                  BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                               spacing=18500.0)),
-                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div><div class='xr-var-data'><pre>array([[-3620.55693731, -3708.83531359, -3770.71865245, ...,
-             -382.20217895,    76.30771022,            nan],
-           [-3685.62921214, -3781.66923324,            nan, ...,
-             -109.13716659,            nan,            nan],
-           [-3649.29234779, -3814.40699747,            nan, ...,
-             -584.59172994,            nan,            nan],
+                 (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div><div class='xr-var-data'><pre>array([[-3620.55694306, -3708.83531265, -3770.71864716, ...,
+             -382.20217877,    76.30771062,            nan],
+           [-3685.62921532, -3781.66923502,            nan, ...,
+             -109.13716625,            nan,            nan],
+           [-3649.29234603, -3814.40699601,            nan, ...,
+             -584.59173022,            nan,            nan],
            ...,
            [           nan,            nan,            nan, ...,
                        nan,            nan,            nan],
            [           nan,            nan,            nan, ...,
                        nan,            nan,            nan],
            [           nan,            nan,            nan, ...,
-                       nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e786faee-5951-4664-b924-6d4c4f678e62' class='xr-section-summary-in' type='checkbox'  ><label for='section-e786faee-5951-4664-b924-6d4c4f678e62' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d4ea692-2dd5-4fa8-88d7-153975ea78d3' class='xr-index-data-in' type='checkbox'/><label for='index-9d4ea692-2dd5-4fa8-88d7-153975ea78d3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             245.0,  245.1673275862069,  245.3346551724138,
-                   245.5019827586207, 245.66931034482758,  245.8366379310345,
-                  246.00396551724137, 246.17129310344828,  246.3386206896552,
-                  246.50594827586207, 246.67327586206898, 246.84060344827586,
-                  247.00793103448277, 247.17525862068965, 247.34258620689656,
-                  247.50991379310346, 247.67724137931035, 247.84456896551725,
-                  248.01189655172413, 248.17922413793104, 248.34655172413792,
-                  248.51387931034483, 248.68120689655174, 248.84853448275862,
-                  249.01586206896553,  249.1831896551724, 249.35051724137932,
-                   249.5178448275862,  249.6851724137931, 249.85250000000002,
-                   250.0198275862069,  250.1871551724138,  250.3544827586207,
-                   250.5218103448276, 250.68913793103448,  250.8564655172414,
-                  251.02379310344827, 251.19112068965518,  251.3584482758621,
-                  251.52577586206897, 251.69310344827588, 251.86043103448276,
-                  252.02775862068967, 252.19508620689655, 252.36241379310346,
-                  252.52974137931037, 252.69706896551725, 252.86439655172416,
-                  253.03172413793104, 253.19905172413795, 253.36637931034483,
-                  253.53370689655173, 253.70103448275864, 253.86836206896552,
-                  254.03568965517243,  254.2030172413793, 254.37034482758622,
-                   254.5376724137931,            254.705],
-                 dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ebbc795-071f-4e48-9ccf-c68312844cb4' class='xr-index-data-in' type='checkbox'/><label for='index-0ebbc795-071f-4e48-9ccf-c68312844cb4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              20.0, 20.166521833333334, 20.333043666666665,
-                          20.4995655, 20.666087333333333, 20.832609166666668,
-                           20.999131, 21.165652833333333, 21.332174666666667,
-                          21.4986965, 21.665218333333332, 21.831740166666666,
-                           21.998262,  22.16478383333333, 22.331305666666665,
-                          22.4978275, 22.664349333333334, 22.830871166666668,
-                           22.997393, 23.163914833333333, 23.330436666666667,
-                  23.496958499999998, 23.663480333333332, 23.830002166666667,
-                           23.996524,  24.16304583333333, 24.329567666666666,
-                          24.4960895,  24.66261133333333, 24.829133166666665,
-                           24.995655, 25.162176833333334, 25.328698666666668,
-                          25.4952205, 25.661742333333333, 25.828264166666667,
-                  25.994785999999998, 26.161307833333332, 26.327829666666666,
-                          26.4943515, 26.660873333333335, 26.827395166666665,
-                           26.993917,  27.16043883333333, 27.326960666666665,
-                          27.4934825, 27.660004333333333, 27.826526166666667,
-                  27.993047999999998, 28.159569833333332, 28.326091666666663,
-                  28.492613499999997,  28.65913533333333, 28.825657166666666,
-                           28.992179, 29.158700833333334, 29.325222666666665,
-                          29.4917445,  29.65826633333333, 29.824788166666664,
-                            29.99131],
-                 dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0a63950-88e5-41d8-94fd-3d64548ca140' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0a63950-88e5-41d8-94fd-3d64548ca140' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
-                  BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+                       nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fc35a65-641f-48be-803c-55e48d8912ae' class='xr-section-summary-in' type='checkbox'  ><label for='section-0fc35a65-641f-48be-803c-55e48d8912ae' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a152d039-d955-4531-868e-bbecc109e9e8' class='xr-index-data-in' type='checkbox'/><label for='index-a152d039-d955-4531-868e-bbecc109e9e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             245.0,  245.1673275862069,  245.3346551724138,
+            245.5019827586207, 245.66931034482758,  245.8366379310345,
+           246.00396551724137, 246.17129310344828,  246.3386206896552,
+           246.50594827586207, 246.67327586206898, 246.84060344827586,
+           247.00793103448277, 247.17525862068965, 247.34258620689656,
+           247.50991379310346, 247.67724137931035, 247.84456896551725,
+           248.01189655172413, 248.17922413793104, 248.34655172413792,
+           248.51387931034483, 248.68120689655174, 248.84853448275862,
+           249.01586206896553,  249.1831896551724, 249.35051724137932,
+            249.5178448275862,  249.6851724137931, 249.85250000000002,
+            250.0198275862069,  250.1871551724138,  250.3544827586207,
+            250.5218103448276, 250.68913793103448,  250.8564655172414,
+           251.02379310344827, 251.19112068965518,  251.3584482758621,
+           251.52577586206897, 251.69310344827588, 251.86043103448276,
+           252.02775862068967, 252.19508620689655, 252.36241379310346,
+           252.52974137931037, 252.69706896551725, 252.86439655172416,
+           253.03172413793104, 253.19905172413795, 253.36637931034483,
+           253.53370689655173, 253.70103448275864, 253.86836206896552,
+           254.03568965517243,  254.2030172413793, 254.37034482758622,
+            254.5376724137931,            254.705],
+          dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0244b1ea-d624-42a5-bcc3-a0ff6c35c560' class='xr-index-data-in' type='checkbox'/><label for='index-0244b1ea-d624-42a5-bcc3-a0ff6c35c560' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              20.0, 20.166521833333334, 20.333043666666665,
+                   20.4995655, 20.666087333333333, 20.832609166666668,
+                    20.999131, 21.165652833333333, 21.332174666666667,
+                   21.4986965, 21.665218333333332, 21.831740166666666,
+                    21.998262,  22.16478383333333, 22.331305666666665,
+                   22.4978275, 22.664349333333334, 22.830871166666668,
+                    22.997393, 23.163914833333333, 23.330436666666667,
+           23.496958499999998, 23.663480333333332, 23.830002166666667,
+                    23.996524,  24.16304583333333, 24.329567666666666,
+                   24.4960895,  24.66261133333333, 24.829133166666665,
+                    24.995655, 25.162176833333334, 25.328698666666668,
+                   25.4952205, 25.661742333333333, 25.828264166666667,
+           25.994785999999998, 26.161307833333332, 26.327829666666666,
+                   26.4943515, 26.660873333333335, 26.827395166666665,
+                    26.993917,  27.16043883333333, 27.326960666666665,
+                   27.4934825, 27.660004333333333, 27.826526166666667,
+           27.993047999999998, 28.159569833333332, 28.326091666666663,
+           28.492613499999997,  28.65913533333333, 28.825657166666666,
+                    28.992179, 29.158700833333334, 29.325222666666665,
+                   29.4917445,  29.65826633333333, 29.824788166666664,
+                     29.99131],
+          dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91d51d3c-13f7-4d8e-b979-1a48be570915' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91d51d3c-13f7-4d8e-b979-1a48be570915' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
+                  BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                               spacing=18500.0)),
                  (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div></li></ul></div></div>
     </div>
@@ -707,7 +1119,7 @@ Finally, we can plot the resulting grid:
 
 .. GENERATED FROM PYTHON SOURCE LINES 134-146
 
-.. code-block:: default
+.. code-block:: Python
 
 
     fig = pygmt.Figure()
@@ -730,14 +1142,6 @@ Finally, we can plot the resulting grid:
    :class: sphx-glr-single-img
 
 
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    <IPython.core.display.Image object>
-
 
 
 
@@ -749,7 +1153,7 @@ the inputs given to the :class:`~verde.Chain`.
 
 .. GENERATED FROM PYTHON SOURCE LINES 150-154
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(chain.named_steps["trend"])
@@ -761,8 +1165,6 @@ the inputs given to the :class:`~verde.Chain`.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Trend(degree=1)
@@ -779,7 +1181,7 @@ estimated trend:
 
 .. GENERATED FROM PYTHON SOURCE LINES 158-174
 
-.. code-block:: default
+.. code-block:: Python
 
 
     grid_trend = chain.named_steps["trend"].grid(
@@ -1176,7 +1578,7 @@ estimated trend:
     Data variables:
         bathymetry  (latitude, longitude) float64 -4.911e+03 -4.864e+03 ... nan nan
     Attributes:
-        metadata:  Generated by Trend(degree=1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-63ca6338-14df-4c67-9571-d1c35c479bdb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63ca6338-14df-4c67-9571-d1c35c479bdb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-48ea915e-03a9-4131-a82b-bc80a73d1202' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48ea915e-03a9-4131-a82b-bc80a73d1202' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-22f7188f-8b63-4004-a064-9fe97c31576b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22f7188f-8b63-4004-a064-9fe97c31576b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13b764f8-8b2a-4102-ad2c-9f7f515f3e07' class='xr-var-data-in' type='checkbox'><label for='data-13b764f8-8b2a-4102-ad2c-9f7f515f3e07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
+        metadata:  Generated by Trend(degree=1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-51971a62-764c-43d0-a3b3-6fde5654fa54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51971a62-764c-43d0-a3b3-6fde5654fa54' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fe993480-910f-46d7-925f-2cf23eaf5aa7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe993480-910f-46d7-925f-2cf23eaf5aa7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-6bdccba1-9206-410b-87b0-d50f18c017f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bdccba1-9206-410b-87b0-d50f18c017f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fd065cb-3d03-40f8-b610-73d58df9e129' class='xr-var-data-in' type='checkbox'><label for='data-2fd065cb-3d03-40f8-b610-73d58df9e129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
            246.003966, 246.171293, 246.338621, 246.505948, 246.673276, 246.840603,
            247.007931, 247.175259, 247.342586, 247.509914, 247.677241, 247.844569,
            248.011897, 248.179224, 248.346552, 248.513879, 248.681207, 248.848534,
@@ -1185,7 +1587,7 @@ estimated trend:
            251.023793, 251.191121, 251.358448, 251.525776, 251.693103, 251.860431,
            252.027759, 252.195086, 252.362414, 252.529741, 252.697069, 252.864397,
            253.031724, 253.199052, 253.366379, 253.533707, 253.701034, 253.868362,
-           254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-d7f32782-912e-4cd7-89f3-48b856a1ba0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7f32782-912e-4cd7-89f3-48b856a1ba0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a6028d8-faa9-46c0-957a-2b53d004dc0e' class='xr-var-data-in' type='checkbox'><label for='data-1a6028d8-faa9-46c0-957a-2b53d004dc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
+           254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-ae94c8fb-d935-4193-b25c-81fbc49867e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae94c8fb-d935-4193-b25c-81fbc49867e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da6595b8-0575-4d7d-a702-b09470968d9e' class='xr-var-data-in' type='checkbox'><label for='data-da6595b8-0575-4d7d-a702-b09470968d9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
            20.999131, 21.165653, 21.332175, 21.498697, 21.665218, 21.83174 ,
            21.998262, 22.164784, 22.331306, 22.497827, 22.664349, 22.830871,
            22.997393, 23.163915, 23.330437, 23.496958, 23.66348 , 23.830002,
@@ -1195,7 +1597,7 @@ estimated trend:
            26.993917, 27.160439, 27.326961, 27.493482, 27.660004, 27.826526,
            27.993048, 28.15957 , 28.326092, 28.492613, 28.659135, 28.825657,
            28.992179, 29.158701, 29.325223, 29.491744, 29.658266, 29.824788,
-           29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a666d3d-0df3-4137-9ecc-cf4c22f3f884' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a666d3d-0df3-4137-9ecc-cf4c22f3f884' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.911e+03 -4.864e+03 ... nan nan</div><input id='attrs-98f184bf-c55d-41ad-a456-e7b26c1771b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f184bf-c55d-41ad-a456-e7b26c1771b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272effd0-84c3-403f-ad23-4c7f594c9b50' class='xr-var-data-in' type='checkbox'><label for='data-272effd0-84c3-403f-ad23-4c7f594c9b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div><div class='xr-var-data'><pre>array([[-4910.61091961, -4864.15471186, -4817.6985041 , ...,
+           29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2759c0ff-daf0-439e-8862-f7947fc8bef2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2759c0ff-daf0-439e-8862-f7947fc8bef2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.911e+03 -4.864e+03 ... nan nan</div><input id='attrs-f1142f74-45f6-44e2-99fa-bb273a9cb673' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1142f74-45f6-44e2-99fa-bb273a9cb673' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c92aaf4-86e4-4ce1-9472-c95732b2d280' class='xr-var-data-in' type='checkbox'><label for='data-9c92aaf4-86e4-4ce1-9472-c95732b2d280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div><div class='xr-var-data'><pre>array([[-4910.61091961, -4864.15471186, -4817.6985041 , ...,
             -2309.06328524, -2262.60707748,            nan],
            [-4838.72028329, -4792.26407553,            nan, ...,
             -2237.17264891,            nan,            nan],
@@ -1207,55 +1609,55 @@ estimated trend:
            [           nan,            nan,            nan, ...,
                        nan,            nan,            nan],
            [           nan,            nan,            nan, ...,
-                       nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcf97cd9-ebaa-4296-97d8-770ba3a95dfd' class='xr-section-summary-in' type='checkbox'  ><label for='section-bcf97cd9-ebaa-4296-97d8-770ba3a95dfd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9ff79b29-b215-417f-a507-f8a608a41c69' class='xr-index-data-in' type='checkbox'/><label for='index-9ff79b29-b215-417f-a507-f8a608a41c69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             245.0,  245.1673275862069,  245.3346551724138,
-                   245.5019827586207, 245.66931034482758,  245.8366379310345,
-                  246.00396551724137, 246.17129310344828,  246.3386206896552,
-                  246.50594827586207, 246.67327586206898, 246.84060344827586,
-                  247.00793103448277, 247.17525862068965, 247.34258620689656,
-                  247.50991379310346, 247.67724137931035, 247.84456896551725,
-                  248.01189655172413, 248.17922413793104, 248.34655172413792,
-                  248.51387931034483, 248.68120689655174, 248.84853448275862,
-                  249.01586206896553,  249.1831896551724, 249.35051724137932,
-                   249.5178448275862,  249.6851724137931, 249.85250000000002,
-                   250.0198275862069,  250.1871551724138,  250.3544827586207,
-                   250.5218103448276, 250.68913793103448,  250.8564655172414,
-                  251.02379310344827, 251.19112068965518,  251.3584482758621,
-                  251.52577586206897, 251.69310344827588, 251.86043103448276,
-                  252.02775862068967, 252.19508620689655, 252.36241379310346,
-                  252.52974137931037, 252.69706896551725, 252.86439655172416,
-                  253.03172413793104, 253.19905172413795, 253.36637931034483,
-                  253.53370689655173, 253.70103448275864, 253.86836206896552,
-                  254.03568965517243,  254.2030172413793, 254.37034482758622,
-                   254.5376724137931,            254.705],
-                 dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c8ebe73-b5af-4f67-9e54-9ca9d38a22be' class='xr-index-data-in' type='checkbox'/><label for='index-7c8ebe73-b5af-4f67-9e54-9ca9d38a22be' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              20.0, 20.166521833333334, 20.333043666666665,
-                          20.4995655, 20.666087333333333, 20.832609166666668,
-                           20.999131, 21.165652833333333, 21.332174666666667,
-                          21.4986965, 21.665218333333332, 21.831740166666666,
-                           21.998262,  22.16478383333333, 22.331305666666665,
-                          22.4978275, 22.664349333333334, 22.830871166666668,
-                           22.997393, 23.163914833333333, 23.330436666666667,
-                  23.496958499999998, 23.663480333333332, 23.830002166666667,
-                           23.996524,  24.16304583333333, 24.329567666666666,
-                          24.4960895,  24.66261133333333, 24.829133166666665,
-                           24.995655, 25.162176833333334, 25.328698666666668,
-                          25.4952205, 25.661742333333333, 25.828264166666667,
-                  25.994785999999998, 26.161307833333332, 26.327829666666666,
-                          26.4943515, 26.660873333333335, 26.827395166666665,
-                           26.993917,  27.16043883333333, 27.326960666666665,
-                          27.4934825, 27.660004333333333, 27.826526166666667,
-                  27.993047999999998, 28.159569833333332, 28.326091666666663,
-                  28.492613499999997,  28.65913533333333, 28.825657166666666,
-                           28.992179, 29.158700833333334, 29.325222666666665,
-                          29.4917445,  29.65826633333333, 29.824788166666664,
-                            29.99131],
-                 dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-211cdd18-c3a2-4b7c-8943-de612e5f6079' class='xr-section-summary-in' type='checkbox'  checked><label for='section-211cdd18-c3a2-4b7c-8943-de612e5f6079' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div></li></ul></div></div>
+                       nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82617eb5-5c55-4e50-8c61-cc218ade3799' class='xr-section-summary-in' type='checkbox'  ><label for='section-82617eb5-5c55-4e50-8c61-cc218ade3799' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-543c0c94-1c9a-4842-b31f-4142880bde48' class='xr-index-data-in' type='checkbox'/><label for='index-543c0c94-1c9a-4842-b31f-4142880bde48' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             245.0,  245.1673275862069,  245.3346551724138,
+            245.5019827586207, 245.66931034482758,  245.8366379310345,
+           246.00396551724137, 246.17129310344828,  246.3386206896552,
+           246.50594827586207, 246.67327586206898, 246.84060344827586,
+           247.00793103448277, 247.17525862068965, 247.34258620689656,
+           247.50991379310346, 247.67724137931035, 247.84456896551725,
+           248.01189655172413, 248.17922413793104, 248.34655172413792,
+           248.51387931034483, 248.68120689655174, 248.84853448275862,
+           249.01586206896553,  249.1831896551724, 249.35051724137932,
+            249.5178448275862,  249.6851724137931, 249.85250000000002,
+            250.0198275862069,  250.1871551724138,  250.3544827586207,
+            250.5218103448276, 250.68913793103448,  250.8564655172414,
+           251.02379310344827, 251.19112068965518,  251.3584482758621,
+           251.52577586206897, 251.69310344827588, 251.86043103448276,
+           252.02775862068967, 252.19508620689655, 252.36241379310346,
+           252.52974137931037, 252.69706896551725, 252.86439655172416,
+           253.03172413793104, 253.19905172413795, 253.36637931034483,
+           253.53370689655173, 253.70103448275864, 253.86836206896552,
+           254.03568965517243,  254.2030172413793, 254.37034482758622,
+            254.5376724137931,            254.705],
+          dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4aac6ba3-32b9-4c58-ac3c-089f480b1682' class='xr-index-data-in' type='checkbox'/><label for='index-4aac6ba3-32b9-4c58-ac3c-089f480b1682' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              20.0, 20.166521833333334, 20.333043666666665,
+                   20.4995655, 20.666087333333333, 20.832609166666668,
+                    20.999131, 21.165652833333333, 21.332174666666667,
+                   21.4986965, 21.665218333333332, 21.831740166666666,
+                    21.998262,  22.16478383333333, 22.331305666666665,
+                   22.4978275, 22.664349333333334, 22.830871166666668,
+                    22.997393, 23.163914833333333, 23.330436666666667,
+           23.496958499999998, 23.663480333333332, 23.830002166666667,
+                    23.996524,  24.16304583333333, 24.329567666666666,
+                   24.4960895,  24.66261133333333, 24.829133166666665,
+                    24.995655, 25.162176833333334, 25.328698666666668,
+                   25.4952205, 25.661742333333333, 25.828264166666667,
+           25.994785999999998, 26.161307833333332, 26.327829666666666,
+                   26.4943515, 26.660873333333335, 26.827395166666665,
+                    26.993917,  27.16043883333333, 27.326960666666665,
+                   27.4934825, 27.660004333333333, 27.826526166666667,
+           27.993047999999998, 28.159569833333332, 28.326091666666663,
+           28.492613499999997,  28.65913533333333, 28.825657166666666,
+                    28.992179, 29.158700833333334, 29.325222666666665,
+                   29.4917445,  29.65826633333333, 29.824788166666664,
+                     29.99131],
+          dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-029cb435-09d2-4fac-b8a3-de9511f0c49d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-029cb435-09d2-4fac-b8a3-de9511f0c49d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div></li></ul></div></div>
     </div>
     <br />
     <br />
 
 .. GENERATED FROM PYTHON SOURCE LINES 176-187
 
-.. code-block:: default
+.. code-block:: Python
 
 
     fig = pygmt.Figure()
@@ -1277,42 +1679,28 @@ estimated trend:
    :class: sphx-glr-single-img
 
 
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    <IPython.core.display.Image object>
-
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  10.906 seconds)
+   **Total running time of the script:** (0 minutes 4.145 seconds)
 
 
 .. _sphx_glr_download_tutorials_chain.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: chain.py <chain.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: chain.ipynb <chain.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: chain.ipynb <chain.ipynb>`
+      :download:`Download Python source code: chain.py <chain.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/decimation.rst.txt b/dev/_sources/tutorials/decimation.rst
similarity index 58%
rename from dev/_sources/tutorials/decimation.rst.txt
rename to dev/_sources/tutorials/decimation.rst
index 8e8a4458f..46d354080 100644
--- a/dev/_sources/tutorials/decimation.rst.txt
+++ b/dev/_sources/tutorials/decimation.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_decimation.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_decimation.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -27,7 +27,7 @@ aliasing effects.
 
 .. GENERATED FROM PYTHON SOURCE LINES 15-21
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -49,7 +49,7 @@ frequency along the tracks than between tracks:
 
 .. GENERATED FROM PYTHON SOURCE LINES 24-38
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # Load the data as a pandas.DataFrame
@@ -96,7 +96,7 @@ mean would be a better option.
 
 .. GENERATED FROM PYTHON SOURCE LINES 53-56
 
-.. code-block:: default
+.. code-block:: Python
 
     reducer = vd.BlockReduce(reduction=np.median, spacing=5 / 60)
     print(reducer)
@@ -107,11 +107,9 @@ mean would be a better option.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    BlockReduce(reduction=<function median at 0x7fbfeab95280>,
+    BlockReduce(reduction=<function median at 0x7f7a634c5ef0>,
                 spacing=0.08333333333333333)
 
 
@@ -123,7 +121,7 @@ Use the :meth:`~verde.BlockReduce.filter` method to apply the reduction:
 
 .. GENERATED FROM PYTHON SOURCE LINES 58-71
 
-.. code-block:: default
+.. code-block:: Python
 
     coordinates, bathymetry = reducer.filter(
         coordinates=(data.longitude, data.latitude), data=data.bathymetry_m
@@ -147,6 +145,19 @@ Use the :meth:`~verde.BlockReduce.filter` method to apply the reduction:
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
+
 
 
 
@@ -159,7 +170,7 @@ coordinates of the center of each block:
 
 .. GENERATED FROM PYTHON SOURCE LINES 76-91
 
-.. code-block:: default
+.. code-block:: Python
 
     reducer_center = vd.BlockReduce(
         reduction=np.median, spacing=5 / 60, center_coordinates=True
@@ -185,6 +196,19 @@ coordinates of the center of each block:
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
+
 
 
 
@@ -195,28 +219,22 @@ Now the data are ready for interpolation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.958 seconds)
+   **Total running time of the script:** (0 minutes 3.409 seconds)
 
 
 .. _sphx_glr_download_tutorials_decimation.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: decimation.py <decimation.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: decimation.ipynb <decimation.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: decimation.ipynb <decimation.ipynb>`
+      :download:`Download Python source code: decimation.py <decimation.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/grid_coordinates.rst.txt b/dev/_sources/tutorials/grid_coordinates.rst
similarity index 94%
rename from dev/_sources/tutorials/grid_coordinates.rst.txt
rename to dev/_sources/tutorials/grid_coordinates.rst
index 6cae54e34..58e759833 100644
--- a/dev/_sources/tutorials/grid_coordinates.rst.txt
+++ b/dev/_sources/tutorials/grid_coordinates.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_grid_coordinates.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_grid_coordinates.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -34,7 +34,7 @@ of points in each dimension (the shape) or by the grid node spacing.
 
 .. GENERATED FROM PYTHON SOURCE LINES 22-27
 
-.. code-block:: default
+.. code-block:: Python
 
 
     import matplotlib.pyplot as plt
@@ -55,7 +55,7 @@ south-north, and we will set an initial spacing to 100 units.
 
 .. GENERATED FROM PYTHON SOURCE LINES 30-38
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spacing = 100
@@ -81,7 +81,7 @@ segments. So our grid coordinates have a shape of 11x11.
 
 .. GENERATED FROM PYTHON SOURCE LINES 43-45
 
-.. code-block:: default
+.. code-block:: Python
 
     print(easting.shape, northing.shape)
 
@@ -91,8 +91,6 @@ segments. So our grid coordinates have a shape of 11x11.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (11, 11) (11, 11)
@@ -106,7 +104,7 @@ Let's define two functions to visualize the region bounds and grid points
 
 .. GENERATED FROM PYTHON SOURCE LINES 47-81
 
-.. code-block:: default
+.. code-block:: Python
 
 
 
@@ -155,7 +153,7 @@ Visualize our region and grid coordinates using our functions
 
 .. GENERATED FROM PYTHON SOURCE LINES 83-102
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(6, 6))
@@ -205,7 +203,7 @@ by passing ``adjust="region"``.
 
 .. GENERATED FROM PYTHON SOURCE LINES 115-122
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spacing = 300
@@ -220,8 +218,6 @@ by passing ``adjust="region"``.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (4, 4) (4, 4)
@@ -241,7 +237,7 @@ easting and northing span from 0 to 900. Both dimensions are divisible by
 
 .. GENERATED FROM PYTHON SOURCE LINES 130-134
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(region_easting)
@@ -253,8 +249,6 @@ easting and northing span from 0 to 900. Both dimensions are divisible by
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[  0. 300. 600. 900.]
@@ -287,7 +281,7 @@ Now let's adjust the spacing of the grid points by passing
 
 .. GENERATED FROM PYTHON SOURCE LINES 148-154
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spacing_easting, spacing_northing = vd.grid_coordinates(
@@ -301,8 +295,6 @@ Now let's adjust the spacing of the grid points by passing
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (4, 4) (4, 4)
@@ -316,7 +308,7 @@ However the regular spacing between the grid points is no longer 300 units.
 
 .. GENERATED FROM PYTHON SOURCE LINES 156-160
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(spacing_easting)
@@ -328,8 +320,6 @@ However the regular spacing between the grid points is no longer 300 units.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[   0.          333.33333333  666.66666667 1000.        ]
@@ -356,7 +346,7 @@ region grid nodes on the north and east side of the region have moved.
 
 .. GENERATED FROM PYTHON SOURCE LINES 168-197
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(6, 6))
@@ -416,7 +406,7 @@ grid points in the non-registered grid (10x10).
 
 .. GENERATED FROM PYTHON SOURCE LINES 210-217
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spacing = 100
@@ -431,8 +421,6 @@ grid points in the non-registered grid (10x10).
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (10, 10) (10, 10)
@@ -446,7 +434,7 @@ And we can check the coordinates for the grid points with pixel registration.
 
 .. GENERATED FROM PYTHON SOURCE LINES 219-223
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(pixel_easting)
@@ -458,8 +446,6 @@ And we can check the coordinates for the grid points with pixel registration.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[ 50. 150. 250. 350. 450. 550. 650. 750. 850. 950.]
@@ -494,7 +480,7 @@ point in each direction.
 
 .. GENERATED FROM PYTHON SOURCE LINES 227-233
 
-.. code-block:: default
+.. code-block:: Python
 
 
     easting, northing = vd.grid_coordinates(
@@ -508,8 +494,6 @@ point in each direction.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (11, 11) (11, 11)
@@ -523,7 +507,7 @@ Again we can check the coordinates for grid points with spacing adjustment.
 
 .. GENERATED FROM PYTHON SOURCE LINES 235-239
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(easting)
@@ -535,8 +519,6 @@ Again we can check the coordinates for grid points with spacing adjustment.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[   0.  100.  200.  300.  400.  500.  600.  700.  800.  900. 1000.]
@@ -572,7 +554,7 @@ fall within the original region bounds.
 
 .. GENERATED FROM PYTHON SOURCE LINES 242-272
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(6, 6))
@@ -630,7 +612,7 @@ coordinate grid.
 
 .. GENERATED FROM PYTHON SOURCE LINES 282-289
 
-.. code-block:: default
+.. code-block:: Python
 
 
     easting, northing, height, time = vd.grid_coordinates(
@@ -645,8 +627,6 @@ coordinate grid.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (11, 11) (11, 11) (11, 11) (11, 11)
@@ -660,7 +640,7 @@ And we can print the height array to verify that it is correct
 
 .. GENERATED FROM PYTHON SOURCE LINES 291-294
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(height)
@@ -671,8 +651,6 @@ And we can print the height array to verify that it is correct
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
@@ -696,7 +674,7 @@ And we can print the time array as well
 
 .. GENERATED FROM PYTHON SOURCE LINES 296-298
 
-.. code-block:: default
+.. code-block:: Python
 
 
     print(time)
@@ -706,8 +684,6 @@ And we can print the time array as well
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     [[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
@@ -728,28 +704,22 @@ And we can print the time array as well
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.259 seconds)
+   **Total running time of the script:** (0 minutes 0.197 seconds)
 
 
 .. _sphx_glr_download_tutorials_grid_coordinates.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: grid_coordinates.py <grid_coordinates.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: grid_coordinates.ipynb <grid_coordinates.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: grid_coordinates.ipynb <grid_coordinates.ipynb>`
+      :download:`Download Python source code: grid_coordinates.py <grid_coordinates.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/index.rst.txt b/dev/_sources/tutorials/index.rst
similarity index 58%
rename from dev/_sources/tutorials/index.rst.txt
rename to dev/_sources/tutorials/index.rst
index dfa090c97..49db459fe 100644
--- a/dev/_sources/tutorials/index.rst.txt
+++ b/dev/_sources/tutorials/index.rst
@@ -1,9 +1,5 @@
 :orphan:
 
-
-
-.. _sphx_glr_tutorials:
-
 .. _tutorials:
 
 Tutorials
@@ -11,205 +7,180 @@ Tutorials
 
 
 
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_chain_thumb.png
-     :alt: Chaining Operations
+  .. image:: /tutorials/images/thumb/sphx_glr_chain_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_chain.py`
+  :ref:`sphx_glr_tutorials_chain.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/chain
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_decimation_thumb.png
-     :alt: Data Decimation
+  .. image:: /tutorials/images/thumb/sphx_glr_decimation_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_decimation.py`
+  :ref:`sphx_glr_tutorials_decimation.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Data Decimation</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/decimation
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_grid_coordinates_thumb.png
-     :alt: Grid Coordinates
+  .. image:: /tutorials/images/thumb/sphx_glr_grid_coordinates_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_grid_coordinates.py`
+  :ref:`sphx_glr_tutorials_grid_coordinates.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Grid Coordinates</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/grid_coordinates
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_model_evaluation_thumb.png
-     :alt: Evaluating Performance
+  .. image:: /tutorials/images/thumb/sphx_glr_model_evaluation_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_model_evaluation.py`
+  :ref:`sphx_glr_tutorials_model_evaluation.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/model_evaluation
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_model_selection_thumb.png
-     :alt: Model Selection
+  .. image:: /tutorials/images/thumb/sphx_glr_model_selection_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_model_selection.py`
+  :ref:`sphx_glr_tutorials_model_selection.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Model Selection</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/model_selection
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_overview_thumb.png
-     :alt: Overview
+  .. image:: /tutorials/images/thumb/sphx_glr_overview_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_overview.py`
+  :ref:`sphx_glr_tutorials_overview.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Overview</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/overview
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_projections_thumb.png
-     :alt: Geographic Coordinates
+  .. image:: /tutorials/images/thumb/sphx_glr_projections_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_projections.py`
+  :ref:`sphx_glr_tutorials_projections.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/projections
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_trends_thumb.png
-     :alt: Trend Estimation
+  .. image:: /tutorials/images/thumb/sphx_glr_trends_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_trends.py`
+  :ref:`sphx_glr_tutorials_trends.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/trends
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_vectors_thumb.png
-     :alt: Vector Data
+  .. image:: /tutorials/images/thumb/sphx_glr_vectors_thumb.png
+    :alt:
 
-     :ref:`sphx_glr_tutorials_vectors.py`
+  :ref:`sphx_glr_tutorials_vectors.py`
 
 .. raw:: html
 
+      <div class="sphx-glr-thumbnail-title">Vector Data</div>
     </div>
 
 
-.. toctree::
-   :hidden:
-
-   /tutorials/vectors
-
 .. raw:: html
 
     <div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas...">
 
 .. only:: html
 
- .. figure:: /tutorials/images/thumb/sphx_glr_weights_thumb.png
-     :alt: Using Weights
+  .. image:: /tutorials/images/thumb/sphx_glr_weights_thumb.png
+    :alt:
+
+  :ref:`sphx_glr_tutorials_weights.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Using Weights</div>
+    </div>
 
-     :ref:`sphx_glr_tutorials_weights.py`
 
 .. raw:: html
 
@@ -219,10 +190,16 @@ Tutorials
 .. toctree::
    :hidden:
 
+   /tutorials/chain
+   /tutorials/decimation
+   /tutorials/grid_coordinates
+   /tutorials/model_evaluation
+   /tutorials/model_selection
+   /tutorials/overview
+   /tutorials/projections
+   /tutorials/trends
+   /tutorials/vectors
    /tutorials/weights
-.. raw:: html
-
-    <div class="sphx-glr-clear"></div>
 
 
 
diff --git a/dev/_sources/tutorials/model_evaluation.rst.txt b/dev/_sources/tutorials/model_evaluation.rst
similarity index 52%
rename from dev/_sources/tutorials/model_evaluation.rst.txt
rename to dev/_sources/tutorials/model_evaluation.rst
index 5f41e5ffd..1f432c885 100644
--- a/dev/_sources/tutorials/model_evaluation.rst.txt
+++ b/dev/_sources/tutorials/model_evaluation.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_model_evaluation.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_model_evaluation.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -36,7 +36,7 @@ spatial data. Let's use these tools to evaluate the performance of a
 
 .. GENERATED FROM PYTHON SOURCE LINES 24-43
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import dask
@@ -85,7 +85,7 @@ the data to use for testing (``test_size=0.3``).
 
 .. GENERATED FROM PYTHON SOURCE LINES 60-65
 
-.. code-block:: default
+.. code-block:: Python
 
 
     train, test = vd.train_test_split(
@@ -96,6 +96,13 @@ the data to use for testing (``test_size=0.3``).
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+
 
 
 
@@ -107,7 +114,7 @@ weights, the third element of the tuple will be ``None``:
 
 .. GENERATED FROM PYTHON SOURCE LINES 69-72
 
-.. code-block:: default
+.. code-block:: Python
 
     print(train)
 
@@ -118,8 +125,6 @@ weights, the third element of the tuple will be ``None``:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     ((array([ -9471409.04145469,  -9242651.69892226,  -9518618.69368063,
@@ -240,7 +245,7 @@ weights, the third element of the tuple will be ``None``:
 
 .. GENERATED FROM PYTHON SOURCE LINES 74-76
 
-.. code-block:: default
+.. code-block:: Python
 
     print(test)
 
@@ -250,8 +255,6 @@ weights, the third element of the tuple will be ``None``:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     ((array([ -9355174.23973406,  -9305731.50511056,  -9378946.06987249,
@@ -312,7 +315,7 @@ Let's plot these two datasets with different colors:
 
 .. GENERATED FROM PYTHON SOURCE LINES 78-88
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(8, 6))
@@ -344,7 +347,7 @@ symbol.
 
 .. GENERATED FROM PYTHON SOURCE LINES 92-96
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spline = vd.Spline()
@@ -358,7 +361,411 @@ symbol.
 .. raw:: html
 
     <div class="output_subarea output_html rendered_html output_result">
-    <style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Spline(mindist=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">Spline</label><div class="sk-toggleable__content"><pre>Spline(mindist=0)</pre></div></div></div></div></div>
+    <style>#sk-container-id-2 {
+      /* Definition of color scheme common for light and dark mode */
+      --sklearn-color-text: black;
+      --sklearn-color-line: gray;
+      /* Definition of color scheme for unfitted estimators */
+      --sklearn-color-unfitted-level-0: #fff5e6;
+      --sklearn-color-unfitted-level-1: #f6e4d2;
+      --sklearn-color-unfitted-level-2: #ffe0b3;
+      --sklearn-color-unfitted-level-3: chocolate;
+      /* Definition of color scheme for fitted estimators */
+      --sklearn-color-fitted-level-0: #f0f8ff;
+      --sklearn-color-fitted-level-1: #d4ebff;
+      --sklearn-color-fitted-level-2: #b3dbfd;
+      --sklearn-color-fitted-level-3: cornflowerblue;
+
+      /* Specific color for light theme */
+      --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+      --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-icon: #696969;
+
+      @media (prefers-color-scheme: dark) {
+        /* Redefinition of color scheme for dark theme */
+        --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+        --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-icon: #878787;
+      }
+    }
+
+    #sk-container-id-2 {
+      color: var(--sklearn-color-text);
+    }
+
+    #sk-container-id-2 pre {
+      padding: 0;
+    }
+
+    #sk-container-id-2 input.sk-hidden--visually {
+      border: 0;
+      clip: rect(1px 1px 1px 1px);
+      clip: rect(1px, 1px, 1px, 1px);
+      height: 1px;
+      margin: -1px;
+      overflow: hidden;
+      padding: 0;
+      position: absolute;
+      width: 1px;
+    }
+
+    #sk-container-id-2 div.sk-dashed-wrapped {
+      border: 1px dashed var(--sklearn-color-line);
+      margin: 0 0.4em 0.5em 0.4em;
+      box-sizing: border-box;
+      padding-bottom: 0.4em;
+      background-color: var(--sklearn-color-background);
+    }
+
+    #sk-container-id-2 div.sk-container {
+      /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+         but bootstrap.min.css set `[hidden] { display: none !important; }`
+         so we also need the `!important` here to be able to override the
+         default hidden behavior on the sphinx rendered scikit-learn.org.
+         See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+      display: inline-block !important;
+      position: relative;
+    }
+
+    #sk-container-id-2 div.sk-text-repr-fallback {
+      display: none;
+    }
+
+    div.sk-parallel-item,
+    div.sk-serial,
+    div.sk-item {
+      /* draw centered vertical line to link estimators */
+      background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+      background-size: 2px 100%;
+      background-repeat: no-repeat;
+      background-position: center center;
+    }
+
+    /* Parallel-specific style estimator block */
+
+    #sk-container-id-2 div.sk-parallel-item::after {
+      content: "";
+      width: 100%;
+      border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+      flex-grow: 1;
+    }
+
+    #sk-container-id-2 div.sk-parallel {
+      display: flex;
+      align-items: stretch;
+      justify-content: center;
+      background-color: var(--sklearn-color-background);
+      position: relative;
+    }
+
+    #sk-container-id-2 div.sk-parallel-item {
+      display: flex;
+      flex-direction: column;
+    }
+
+    #sk-container-id-2 div.sk-parallel-item:first-child::after {
+      align-self: flex-end;
+      width: 50%;
+    }
+
+    #sk-container-id-2 div.sk-parallel-item:last-child::after {
+      align-self: flex-start;
+      width: 50%;
+    }
+
+    #sk-container-id-2 div.sk-parallel-item:only-child::after {
+      width: 0;
+    }
+
+    /* Serial-specific style estimator block */
+
+    #sk-container-id-2 div.sk-serial {
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      background-color: var(--sklearn-color-background);
+      padding-right: 1em;
+      padding-left: 1em;
+    }
+
+
+    /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+    clickable and can be expanded/collapsed.
+    - Pipeline and ColumnTransformer use this feature and define the default style
+    - Estimators will overwrite some part of the style using the `sk-estimator` class
+    */
+
+    /* Pipeline and ColumnTransformer style (default) */
+
+    #sk-container-id-2 div.sk-toggleable {
+      /* Default theme specific background. It is overwritten whether we have a
+      specific estimator or a Pipeline/ColumnTransformer */
+      background-color: var(--sklearn-color-background);
+    }
+
+    /* Toggleable label */
+    #sk-container-id-2 label.sk-toggleable__label {
+      cursor: pointer;
+      display: block;
+      width: 100%;
+      margin-bottom: 0;
+      padding: 0.5em;
+      box-sizing: border-box;
+      text-align: center;
+    }
+
+    #sk-container-id-2 label.sk-toggleable__label-arrow:before {
+      /* Arrow on the left of the label */
+      content: "▸";
+      float: left;
+      margin-right: 0.25em;
+      color: var(--sklearn-color-icon);
+    }
+
+    #sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+      color: var(--sklearn-color-text);
+    }
+
+    /* Toggleable content - dropdown */
+
+    #sk-container-id-2 div.sk-toggleable__content {
+      max-height: 0;
+      max-width: 0;
+      overflow: hidden;
+      text-align: left;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-2 div.sk-toggleable__content.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-2 div.sk-toggleable__content pre {
+      margin: 0.2em;
+      border-radius: 0.25em;
+      color: var(--sklearn-color-text);
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-2 div.sk-toggleable__content.fitted pre {
+      /* unfitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+      /* Expand drop-down */
+      max-height: 200px;
+      max-width: 100%;
+      overflow: auto;
+    }
+
+    #sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+      content: "▾";
+    }
+
+    /* Pipeline/ColumnTransformer-specific style */
+
+    #sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator-specific style */
+
+    /* Colorize estimator box */
+    #sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    #sk-container-id-2 div.sk-label label.sk-toggleable__label,
+    #sk-container-id-2 div.sk-label label {
+      /* The background is the default theme color */
+      color: var(--sklearn-color-text-on-default-background);
+    }
+
+    /* On hover, darken the color of the background */
+    #sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    /* Label box, darken color on hover, fitted */
+    #sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator label */
+
+    #sk-container-id-2 div.sk-label label {
+      font-family: monospace;
+      font-weight: bold;
+      display: inline-block;
+      line-height: 1.2em;
+    }
+
+    #sk-container-id-2 div.sk-label-container {
+      text-align: center;
+    }
+
+    /* Estimator-specific */
+    #sk-container-id-2 div.sk-estimator {
+      font-family: monospace;
+      border: 1px dotted var(--sklearn-color-border-box);
+      border-radius: 0.25em;
+      box-sizing: border-box;
+      margin-bottom: 0.5em;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-2 div.sk-estimator.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    /* on hover */
+    #sk-container-id-2 div.sk-estimator:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-2 div.sk-estimator.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Specification for estimator info (e.g. "i" and "?") */
+
+    /* Common style for "i" and "?" */
+
+    .sk-estimator-doc-link,
+    a:link.sk-estimator-doc-link,
+    a:visited.sk-estimator-doc-link {
+      float: right;
+      font-size: smaller;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1em;
+      height: 1em;
+      width: 1em;
+      text-decoration: none !important;
+      margin-left: 1ex;
+      /* unfitted */
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+      color: var(--sklearn-color-unfitted-level-1);
+    }
+
+    .sk-estimator-doc-link.fitted,
+    a:link.sk-estimator-doc-link.fitted,
+    a:visited.sk-estimator-doc-link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    div.sk-estimator:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    /* Span, style for the box shown on hovering the info icon */
+    .sk-estimator-doc-link span {
+      display: none;
+      z-index: 9999;
+      position: relative;
+      font-weight: normal;
+      right: .2ex;
+      padding: .5ex;
+      margin: .5ex;
+      width: min-content;
+      min-width: 20ex;
+      max-width: 50ex;
+      color: var(--sklearn-color-text);
+      box-shadow: 2pt 2pt 4pt #999;
+      /* unfitted */
+      background: var(--sklearn-color-unfitted-level-0);
+      border: .5pt solid var(--sklearn-color-unfitted-level-3);
+    }
+
+    .sk-estimator-doc-link.fitted span {
+      /* fitted */
+      background: var(--sklearn-color-fitted-level-0);
+      border: var(--sklearn-color-fitted-level-3);
+    }
+
+    .sk-estimator-doc-link:hover span {
+      display: block;
+    }
+
+    /* "?"-specific style due to the `<a>` HTML tag */
+
+    #sk-container-id-2 a.estimator_doc_link {
+      float: right;
+      font-size: 1rem;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1rem;
+      height: 1rem;
+      width: 1rem;
+      text-decoration: none;
+      /* unfitted */
+      color: var(--sklearn-color-unfitted-level-1);
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+    }
+
+    #sk-container-id-2 a.estimator_doc_link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    #sk-container-id-2 a.estimator_doc_link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    #sk-container-id-2 a.estimator_doc_link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+    }
+    </style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Spline(mindist=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Spline<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Spline(mindist=0)</pre></div> </div></div></div></div>
     </div>
     <br />
     <br />
@@ -370,7 +777,7 @@ a geographic grid:
 
 .. GENERATED FROM PYTHON SOURCE LINES 99-108
 
-.. code-block:: default
+.. code-block:: Python
 
     grid = spline.grid(
         region=region,
@@ -387,8 +794,6 @@ a geographic grid:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     <xarray.Dataset>
@@ -411,7 +816,7 @@ and plot the grid:
 
 .. GENERATED FROM PYTHON SOURCE LINES 111-134
 
-.. code-block:: default
+.. code-block:: Python
 
     mask = vd.distance_mask(
         (data.longitude, data.latitude),
@@ -461,7 +866,7 @@ a perfect prediction, but has no lower bound.
 
 .. GENERATED FROM PYTHON SOURCE LINES 143-147
 
-.. code-block:: default
+.. code-block:: Python
 
 
     score = spline.score(*test)
@@ -473,13 +878,11 @@ a perfect prediction, but has no lower bound.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     /home/runner/work/verde/verde/doc/tutorials_src/model_evaluation.py:144: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = spline.score(*test)
-    R² score: 0.8404552995867839
+    R² score: 0.8404552995821278
 
 
 
@@ -497,7 +900,7 @@ data that wasn't used in the gridding algorithm.
 
 .. GENERATED FROM PYTHON SOURCE LINES 156-164
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # Use 1 as a seed instead of 0
@@ -513,13 +916,13 @@ data that wasn't used in the gridding algorithm.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
     /home/runner/work/verde/verde/doc/tutorials_src/model_evaluation.py:162: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       print("R² score with seed 1:", vd.Spline().fit(*train_other).score(*test_other))
-    R² score with seed 1: 0.7832246935323472
+    R² score with seed 1: 0.7832246935388774
 
 
 
@@ -538,7 +941,7 @@ by default. It will split the data *k* times and return the score on each
 
 .. GENERATED FROM PYTHON SOURCE LINES 174-179
 
-.. code-block:: default
+.. code-block:: Python
 
 
     scores = vd.cross_val_score(vd.Spline(), proj_coords, data.air_temperature_c)
@@ -551,32 +954,40 @@ by default. It will split the data *k* times and return the score on each
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
     k-fold scores: [0.81655898 0.72019255 0.81596348 0.87740087 0.75006854]
-    Mean score: 0.7960368857080609
+    Mean score: 0.7960368857090916
 
 
 
@@ -590,7 +1001,7 @@ example, if we want to shuffle then split the data *n* times
 
 .. GENERATED FROM PYTHON SOURCE LINES 184-193
 
-.. code-block:: default
+.. code-block:: Python
 
 
     shuffle = ShuffleSplit(n_splits=10, test_size=0.3, random_state=0)
@@ -607,53 +1018,71 @@ example, if we want to shuffle then split the data *n* times
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
     shuffle scores: [0.8404553  0.79219264 0.60098099 0.73123421 0.67325199 0.70560489
      0.68905623 0.83517217 0.86908658 0.84133251]
-    Mean score: 0.757836752127407
+    Mean score: 0.757836752124305
 
 
 
@@ -672,7 +1101,7 @@ To run :func:`verde.cross_val_score` with Dask, use the ``delayed`` argument:
 
 .. GENERATED FROM PYTHON SOURCE LINES 203-209
 
-.. code-block:: default
+.. code-block:: Python
 
 
     scores = vd.cross_val_score(
@@ -686,13 +1115,13 @@ To run :func:`verde.cross_val_score` with Dask, use the ``delayed`` argument:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
       new_object = klass(**new_object_params)
-    Delayed k-fold scores: [Delayed('fit_score-b33fc47e-be97-40ea-8e51-d93f4462322d'), Delayed('fit_score-ca2f4d9e-7900-4495-bccb-837d7130f3eb'), Delayed('fit_score-ca7c7da2-cab9-42bc-863f-868e51315cee'), Delayed('fit_score-62f80c55-33d2-4d3d-89f3-cd8c6cbdb406'), Delayed('fit_score-ae504695-15cf-414d-91a3-fd1af67f1d8e')]
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    Delayed k-fold scores: [Delayed('fit_score-f7b0ab4c-0b5a-48cb-b92a-29e78d4a6aa4'), Delayed('fit_score-3ec2e722-2cd9-4291-8c5f-ada8fbca686c'), Delayed('fit_score-1a5fc98d-2d69-437f-810f-d4f0b766f819'), Delayed('fit_score-650e8f3f-b558-49b4-a549-ba2e50af55bf'), Delayed('fit_score-86652d9e-8bd0-48b2-a30a-ec4b9a35cdde')]
 
 
 
@@ -706,7 +1135,7 @@ are interested only in the mean score, we can schedule the mean as well using
 
 .. GENERATED FROM PYTHON SOURCE LINES 214-218
 
-.. code-block:: default
+.. code-block:: Python
 
 
     mean_score = dask.delayed(np.mean)(scores)
@@ -718,11 +1147,9 @@ are interested only in the mean score, we can schedule the mean as well using
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    Delayed mean: Delayed('mean-d85af544-5c15-4dfe-b67e-ab0ad37f28f8')
+    Delayed mean: Delayed('mean-e3e13863-3c07-4c08-9a33-89a1e35a534a')
 
 
 
@@ -735,7 +1162,7 @@ things in parallel.
 
 .. GENERATED FROM PYTHON SOURCE LINES 222-226
 
-.. code-block:: default
+.. code-block:: Python
 
 
     mean_score = mean_score.compute()
@@ -747,19 +1174,17 @@ things in parallel.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       score = estimator.score(*test_data)
-    Mean score: 0.7960368857080609
+    Mean score: 0.7960368857090916
 
 
 
@@ -786,28 +1211,22 @@ that.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.475 seconds)
+   **Total running time of the script:** (0 minutes 0.806 seconds)
 
 
 .. _sphx_glr_download_tutorials_model_evaluation.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: model_evaluation.py <model_evaluation.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: model_evaluation.ipynb <model_evaluation.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: model_evaluation.ipynb <model_evaluation.ipynb>`
+      :download:`Download Python source code: model_evaluation.py <model_evaluation.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/model_selection.rst b/dev/_sources/tutorials/model_selection.rst
new file mode 100644
index 000000000..f955d30ab
--- /dev/null
+++ b/dev/_sources/tutorials/model_selection.rst
@@ -0,0 +1,1223 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "tutorials/model_selection.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        :ref:`Go to the end <sphx_glr_download_tutorials_model_selection.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_tutorials_model_selection.py:
+
+
+.. _model_selection:
+
+Model Selection
+===============
+
+In :ref:`model_evaluation`, we saw how to check the performance of an
+interpolator using cross-validation. We found that the default parameters for
+:class:`verde.Spline` are not good for predicting our sample air temperature
+data. Now, let's see how we can tune the :class:`~verde.Spline` to improve the
+cross-validation performance.
+
+Once again, we'll start by importing the required packages and loading our
+sample data.
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-39
+
+.. code-block:: Python
+
+    import cartopy.crs as ccrs
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import pyproj
+
+    import verde as vd
+
+    data = vd.datasets.fetch_texas_wind()
+
+    # Use Mercator projection because Spline is a Cartesian gridder
+    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
+    proj_coords = projection(data.longitude.values, data.latitude.values)
+
+    region = vd.get_region((data.longitude, data.latitude))
+    # The desired grid spacing in degrees
+    spacing = 15 / 60
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 40-42
+
+Before we begin tuning, let's reiterate what the results were with the
+default parameters.
+
+.. GENERATED FROM PYTHON SOURCE LINES 42-51
+
+.. code-block:: Python
+
+
+    spline_default = vd.Spline()
+    score_default = np.mean(
+        vd.cross_val_score(spline_default, proj_coords, data.air_temperature_c)
+    )
+    spline_default.fit(proj_coords, data.air_temperature_c)
+    print("R² with defaults:", score_default)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+    R² with defaults: 0.7960368857090916
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 52-64
+
+Tuning
+------
+
+:class:`~verde.Spline` has the ``damping`` regularization parameter which
+smooths the solution and provides a least-squares fit to the data instead of
+an exact fit at the observation points. This is often desirable to mitigate
+data errors and provide better results when points are widely spaced. Would
+changing the default values give us a better score?
+
+We can answer this question by changing the values in our ``spline`` and
+re-evaluating the model score repeatedly for different values of this
+parameter. Let's test the following values:
+
+.. GENERATED FROM PYTHON SOURCE LINES 64-67
+
+.. code-block:: Python
+
+
+    dampings = [None, 1e-4, 1e-3, 1e-2]
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 68-70
+
+Now we can loop over each value and collect the scores for each parameter
+choice.
+
+.. GENERATED FROM PYTHON SOURCE LINES 70-79
+
+.. code-block:: Python
+
+
+    spline = vd.Spline()
+    scores = []
+    for damping in dampings:
+        spline.set_params(damping=damping)
+        score = np.mean(vd.cross_val_score(spline, proj_coords, data.air_temperature_c))
+        scores.append(score)
+    print(scores)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    [0.7960368857090916, 0.8447749626351673, 0.8382287942982295, 0.8409658539039073]
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 80-81
+
+The largest score will yield the best parameter combination.
+
+.. GENERATED FROM PYTHON SOURCE LINES 81-87
+
+.. code-block:: Python
+
+
+    best = np.argmax(scores)
+    print("Best score:", scores[best])
+    print("Score with defaults:", score_default)
+    print("Best damping:", dampings[best])
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Best score: 0.8447749626351673
+    Score with defaults: 0.7960368857090916
+    Best damping: 0.0001
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 88-94
+
+**That is a nice improvement over our previous score!**
+
+This type of tuning is important and should always be performed when using a
+new gridder or a new dataset. However, the above implementation requires a
+lot of coding. Fortunately, Verde provides convenience classes that perform
+the cross-validation and tuning automatically when fitting a dataset.
+
+.. GENERATED FROM PYTHON SOURCE LINES 97-105
+
+Cross-validated gridders
+------------------------
+
+The :class:`verde.SplineCV` class provides a cross-validated version of
+:class:`verde.Spline`. It has almost the same interface but does all of the
+above automatically when fitting a dataset. The only difference is that you
+must provide a list of ``damping`` values to try instead of only a single
+value:
+
+.. GENERATED FROM PYTHON SOURCE LINES 105-108
+
+.. code-block:: Python
+
+
+    spline = vd.SplineCV(dampings=dampings)
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 109-111
+
+Calling :meth:`~verde.SplineCV.fit` will run a grid search over all parameter
+values to find the one that maximizes the cross-validation score.
+
+.. GENERATED FROM PYTHON SOURCE LINES 111-114
+
+.. code-block:: Python
+
+
+    spline.fit(proj_coords, data.air_temperature_c)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      self.spline_ = Spline(**parameter_sets[best])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+
+
+.. raw:: html
+
+    <div class="output_subarea output_html rendered_html output_result">
+    <style>#sk-container-id-3 {
+      /* Definition of color scheme common for light and dark mode */
+      --sklearn-color-text: black;
+      --sklearn-color-line: gray;
+      /* Definition of color scheme for unfitted estimators */
+      --sklearn-color-unfitted-level-0: #fff5e6;
+      --sklearn-color-unfitted-level-1: #f6e4d2;
+      --sklearn-color-unfitted-level-2: #ffe0b3;
+      --sklearn-color-unfitted-level-3: chocolate;
+      /* Definition of color scheme for fitted estimators */
+      --sklearn-color-fitted-level-0: #f0f8ff;
+      --sklearn-color-fitted-level-1: #d4ebff;
+      --sklearn-color-fitted-level-2: #b3dbfd;
+      --sklearn-color-fitted-level-3: cornflowerblue;
+
+      /* Specific color for light theme */
+      --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+      --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-icon: #696969;
+
+      @media (prefers-color-scheme: dark) {
+        /* Redefinition of color scheme for dark theme */
+        --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+        --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-icon: #878787;
+      }
+    }
+
+    #sk-container-id-3 {
+      color: var(--sklearn-color-text);
+    }
+
+    #sk-container-id-3 pre {
+      padding: 0;
+    }
+
+    #sk-container-id-3 input.sk-hidden--visually {
+      border: 0;
+      clip: rect(1px 1px 1px 1px);
+      clip: rect(1px, 1px, 1px, 1px);
+      height: 1px;
+      margin: -1px;
+      overflow: hidden;
+      padding: 0;
+      position: absolute;
+      width: 1px;
+    }
+
+    #sk-container-id-3 div.sk-dashed-wrapped {
+      border: 1px dashed var(--sklearn-color-line);
+      margin: 0 0.4em 0.5em 0.4em;
+      box-sizing: border-box;
+      padding-bottom: 0.4em;
+      background-color: var(--sklearn-color-background);
+    }
+
+    #sk-container-id-3 div.sk-container {
+      /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+         but bootstrap.min.css set `[hidden] { display: none !important; }`
+         so we also need the `!important` here to be able to override the
+         default hidden behavior on the sphinx rendered scikit-learn.org.
+         See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+      display: inline-block !important;
+      position: relative;
+    }
+
+    #sk-container-id-3 div.sk-text-repr-fallback {
+      display: none;
+    }
+
+    div.sk-parallel-item,
+    div.sk-serial,
+    div.sk-item {
+      /* draw centered vertical line to link estimators */
+      background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+      background-size: 2px 100%;
+      background-repeat: no-repeat;
+      background-position: center center;
+    }
+
+    /* Parallel-specific style estimator block */
+
+    #sk-container-id-3 div.sk-parallel-item::after {
+      content: "";
+      width: 100%;
+      border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+      flex-grow: 1;
+    }
+
+    #sk-container-id-3 div.sk-parallel {
+      display: flex;
+      align-items: stretch;
+      justify-content: center;
+      background-color: var(--sklearn-color-background);
+      position: relative;
+    }
+
+    #sk-container-id-3 div.sk-parallel-item {
+      display: flex;
+      flex-direction: column;
+    }
+
+    #sk-container-id-3 div.sk-parallel-item:first-child::after {
+      align-self: flex-end;
+      width: 50%;
+    }
+
+    #sk-container-id-3 div.sk-parallel-item:last-child::after {
+      align-self: flex-start;
+      width: 50%;
+    }
+
+    #sk-container-id-3 div.sk-parallel-item:only-child::after {
+      width: 0;
+    }
+
+    /* Serial-specific style estimator block */
+
+    #sk-container-id-3 div.sk-serial {
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      background-color: var(--sklearn-color-background);
+      padding-right: 1em;
+      padding-left: 1em;
+    }
+
+
+    /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+    clickable and can be expanded/collapsed.
+    - Pipeline and ColumnTransformer use this feature and define the default style
+    - Estimators will overwrite some part of the style using the `sk-estimator` class
+    */
+
+    /* Pipeline and ColumnTransformer style (default) */
+
+    #sk-container-id-3 div.sk-toggleable {
+      /* Default theme specific background. It is overwritten whether we have a
+      specific estimator or a Pipeline/ColumnTransformer */
+      background-color: var(--sklearn-color-background);
+    }
+
+    /* Toggleable label */
+    #sk-container-id-3 label.sk-toggleable__label {
+      cursor: pointer;
+      display: block;
+      width: 100%;
+      margin-bottom: 0;
+      padding: 0.5em;
+      box-sizing: border-box;
+      text-align: center;
+    }
+
+    #sk-container-id-3 label.sk-toggleable__label-arrow:before {
+      /* Arrow on the left of the label */
+      content: "▸";
+      float: left;
+      margin-right: 0.25em;
+      color: var(--sklearn-color-icon);
+    }
+
+    #sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {
+      color: var(--sklearn-color-text);
+    }
+
+    /* Toggleable content - dropdown */
+
+    #sk-container-id-3 div.sk-toggleable__content {
+      max-height: 0;
+      max-width: 0;
+      overflow: hidden;
+      text-align: left;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-3 div.sk-toggleable__content.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-3 div.sk-toggleable__content pre {
+      margin: 0.2em;
+      border-radius: 0.25em;
+      color: var(--sklearn-color-text);
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-3 div.sk-toggleable__content.fitted pre {
+      /* unfitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+      /* Expand drop-down */
+      max-height: 200px;
+      max-width: 100%;
+      overflow: auto;
+    }
+
+    #sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+      content: "▾";
+    }
+
+    /* Pipeline/ColumnTransformer-specific style */
+
+    #sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator-specific style */
+
+    /* Colorize estimator box */
+    #sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    #sk-container-id-3 div.sk-label label.sk-toggleable__label,
+    #sk-container-id-3 div.sk-label label {
+      /* The background is the default theme color */
+      color: var(--sklearn-color-text-on-default-background);
+    }
+
+    /* On hover, darken the color of the background */
+    #sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    /* Label box, darken color on hover, fitted */
+    #sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator label */
+
+    #sk-container-id-3 div.sk-label label {
+      font-family: monospace;
+      font-weight: bold;
+      display: inline-block;
+      line-height: 1.2em;
+    }
+
+    #sk-container-id-3 div.sk-label-container {
+      text-align: center;
+    }
+
+    /* Estimator-specific */
+    #sk-container-id-3 div.sk-estimator {
+      font-family: monospace;
+      border: 1px dotted var(--sklearn-color-border-box);
+      border-radius: 0.25em;
+      box-sizing: border-box;
+      margin-bottom: 0.5em;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-3 div.sk-estimator.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    /* on hover */
+    #sk-container-id-3 div.sk-estimator:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-3 div.sk-estimator.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Specification for estimator info (e.g. "i" and "?") */
+
+    /* Common style for "i" and "?" */
+
+    .sk-estimator-doc-link,
+    a:link.sk-estimator-doc-link,
+    a:visited.sk-estimator-doc-link {
+      float: right;
+      font-size: smaller;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1em;
+      height: 1em;
+      width: 1em;
+      text-decoration: none !important;
+      margin-left: 1ex;
+      /* unfitted */
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+      color: var(--sklearn-color-unfitted-level-1);
+    }
+
+    .sk-estimator-doc-link.fitted,
+    a:link.sk-estimator-doc-link.fitted,
+    a:visited.sk-estimator-doc-link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    div.sk-estimator:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    /* Span, style for the box shown on hovering the info icon */
+    .sk-estimator-doc-link span {
+      display: none;
+      z-index: 9999;
+      position: relative;
+      font-weight: normal;
+      right: .2ex;
+      padding: .5ex;
+      margin: .5ex;
+      width: min-content;
+      min-width: 20ex;
+      max-width: 50ex;
+      color: var(--sklearn-color-text);
+      box-shadow: 2pt 2pt 4pt #999;
+      /* unfitted */
+      background: var(--sklearn-color-unfitted-level-0);
+      border: .5pt solid var(--sklearn-color-unfitted-level-3);
+    }
+
+    .sk-estimator-doc-link.fitted span {
+      /* fitted */
+      background: var(--sklearn-color-fitted-level-0);
+      border: var(--sklearn-color-fitted-level-3);
+    }
+
+    .sk-estimator-doc-link:hover span {
+      display: block;
+    }
+
+    /* "?"-specific style due to the `<a>` HTML tag */
+
+    #sk-container-id-3 a.estimator_doc_link {
+      float: right;
+      font-size: 1rem;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1rem;
+      height: 1rem;
+      width: 1rem;
+      text-decoration: none;
+      /* unfitted */
+      color: var(--sklearn-color-unfitted-level-1);
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+    }
+
+    #sk-container-id-3 a.estimator_doc_link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    #sk-container-id-3 a.estimator_doc_link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    #sk-container-id-3 a.estimator_doc_link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+    }
+    </style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;SplineCV<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre></div> </div></div></div></div>
+    </div>
+    <br />
+    <br />
+
+.. GENERATED FROM PYTHON SOURCE LINES 115-117
+
+The estimated best ``damping``, as well as the cross-validation scores, are
+stored in class attributes:
+
+.. GENERATED FROM PYTHON SOURCE LINES 117-121
+
+.. code-block:: Python
+
+
+    print("Highest score:", spline.scores_.max())
+    print("Best damping:", spline.damping_)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Highest score: 0.8447749626351673
+    Best damping: 0.0001
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 122-124
+
+The cross-validated gridder can be used like any other gridder (including in
+:class:`verde.Chain` and :class:`verde.Vector`):
+
+.. GENERATED FROM PYTHON SOURCE LINES 124-134
+
+.. code-block:: Python
+
+
+    grid = spline.grid(
+        region=region,
+        spacing=spacing,
+        projection=projection,
+        dims=["latitude", "longitude"],
+        data_names="temperature",
+    )
+    print(grid)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    <xarray.Dataset>
+    Dimensions:      (latitude: 43, longitude: 51)
+    Coordinates:
+      * longitude    (longitude) float64 -106.4 -106.1 -105.9 ... -94.06 -93.8
+      * latitude     (latitude) float64 25.91 26.16 26.41 ... 35.91 36.16 36.41
+    Data variables:
+        temperature  (latitude, longitude) float64 24.7 24.56 24.42 ... 7.542 7.639
+    Attributes:
+        metadata:  Generated by SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mi...
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 135-138
+
+Like :func:`verde.cross_val_score`, :class:`~verde.SplineCV` can also run the
+grid search in parallel using `Dask <https://dask.org/>`__ by specifying the
+``delayed`` attribute:
+
+.. GENERATED FROM PYTHON SOURCE LINES 138-141
+
+.. code-block:: Python
+
+
+    spline = vd.SplineCV(dampings=dampings, delayed=True)
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 142-145
+
+Unlike :func:`verde.cross_val_score`, calling :meth:`~verde.SplineCV.fit`
+does **not** result in :func:`dask.delayed` objects. The full grid search is
+executed and the optimal parameters are found immediately.
+
+.. GENERATED FROM PYTHON SOURCE LINES 145-150
+
+.. code-block:: Python
+
+
+    spline.fit(proj_coords, data.air_temperature_c)
+
+    print("Best damping:", spline.damping_)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      spline = Spline(**params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      new_object = klass(**new_object_params)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      score = estimator.score(*test_data)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+      self.spline_ = Spline(**parameter_sets[best])
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+    Best damping: 0.0001
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 151-154
+
+The one caveat is the that the ``scores_`` attribute will be a list of
+:func:`dask.delayed` objects instead because the scores are only computed as
+intermediate values in the scheduled computations.
+
+.. GENERATED FROM PYTHON SOURCE LINES 154-157
+
+.. code-block:: Python
+
+
+    print("Delayed scores:", spline.scores_)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Delayed scores: [Delayed('mean-5df063fb-539e-4e9b-8b06-1454beee2c57'), Delayed('mean-49e0e6a8-2930-4a87-af73-0dec4f943a41'), Delayed('mean-a07f3f55-0430-4196-b6c4-1d3408521f76'), Delayed('mean-be52421b-bc6f-4d36-b06c-189b6b8044fa')]
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 158-162
+
+Calling :func:`dask.compute` on the scores will calculate their values but
+will unfortunately run the entire grid search again. So using
+``delayed=True`` is not recommended if you need the scores of each parameter
+combination.
+
+.. GENERATED FROM PYTHON SOURCE LINES 164-169
+
+The importance of tuning
+------------------------
+
+To see the difference that tuning has on the results, we can make a grid
+with the best configuration and see how it compares to the default result.
+
+.. GENERATED FROM PYTHON SOURCE LINES 169-178
+
+.. code-block:: Python
+
+
+    grid_default = spline_default.grid(
+        region=region,
+        spacing=spacing,
+        projection=projection,
+        dims=["latitude", "longitude"],
+        data_names="temperature",
+    )
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 179-180
+
+Let's plot our grids side-by-side:
+
+.. GENERATED FROM PYTHON SOURCE LINES 180-211
+
+.. code-block:: Python
+
+
+    mask = vd.distance_mask(
+        (data.longitude, data.latitude),
+        maxdist=3 * spacing * 111e3,
+        coordinates=vd.grid_coordinates(region, spacing=spacing),
+        projection=projection,
+    )
+
+    grid = grid.where(mask)
+    grid_default = grid_default.where(mask)
+
+    plt.figure(figsize=(14, 8))
+    for i, title, grd in zip(range(2), ["Defaults", "Tuned"], [grid_default, grid]):
+        ax = plt.subplot(1, 2, i + 1, projection=ccrs.Mercator())
+        ax.set_title(title)
+        pc = grd.temperature.plot.pcolormesh(
+            ax=ax,
+            cmap="plasma",
+            transform=ccrs.PlateCarree(),
+            vmin=data.air_temperature_c.min(),
+            vmax=data.air_temperature_c.max(),
+            add_colorbar=False,
+            add_labels=False,
+        )
+        plt.colorbar(pc, orientation="horizontal", aspect=50, pad=0.05).set_label("C")
+        ax.plot(
+            data.longitude, data.latitude, ".k", markersize=1, transform=ccrs.PlateCarree()
+        )
+        vd.datasets.setup_texas_wind_map(ax)
+    plt.show()
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_model_selection_001.png
+   :alt: Defaults, Tuned
+   :srcset: /tutorials/images/sphx_glr_model_selection_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 212-215
+
+Notice that, for sparse data like these, **smoother models tend to be better
+predictors**. This is a sign that you should probably not trust many of the
+short wavelength features that we get from the defaults.
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** (0 minutes 0.551 seconds)
+
+
+.. _sphx_glr_download_tutorials_model_selection.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: model_selection.ipynb <model_selection.ipynb>`
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: model_selection.py <model_selection.py>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/tutorials/model_selection.rst.txt b/dev/_sources/tutorials/model_selection.rst.txt
deleted file mode 100644
index 0b586cfa5..000000000
--- a/dev/_sources/tutorials/model_selection.rst.txt
+++ /dev/null
@@ -1,749 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "tutorials/model_selection.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_tutorials_model_selection.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_tutorials_model_selection.py:
-
-
-.. _model_selection:
-
-Model Selection
-===============
-
-In :ref:`model_evaluation`, we saw how to check the performance of an
-interpolator using cross-validation. We found that the default parameters for
-:class:`verde.Spline` are not good for predicting our sample air temperature
-data. Now, let's see how we can tune the :class:`~verde.Spline` to improve the
-cross-validation performance.
-
-Once again, we'll start by importing the required packages and loading our
-sample data.
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-39
-
-.. code-block:: default
-
-    import cartopy.crs as ccrs
-    import matplotlib.pyplot as plt
-    import numpy as np
-    import pyproj
-
-    import verde as vd
-
-    data = vd.datasets.fetch_texas_wind()
-
-    # Use Mercator projection because Spline is a Cartesian gridder
-    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
-    proj_coords = projection(data.longitude.values, data.latitude.values)
-
-    region = vd.get_region((data.longitude, data.latitude))
-    # The desired grid spacing in degrees
-    spacing = 15 / 60
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 40-42
-
-Before we begin tuning, let's reiterate what the results were with the
-default parameters.
-
-.. GENERATED FROM PYTHON SOURCE LINES 42-51
-
-.. code-block:: default
-
-
-    spline_default = vd.Spline()
-    score_default = np.mean(
-        vd.cross_val_score(spline_default, proj_coords, data.air_temperature_c)
-    )
-    spline_default.fit(proj_coords, data.air_temperature_c)
-    print("R² with defaults:", score_default)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    R² with defaults: 0.7960368857080609
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 52-64
-
-Tuning
-------
-
-:class:`~verde.Spline` has the ``damping`` regularization parameter which
-smooths the solution and provides a least-squares fit to the data instead of
-an exact fit at the observation points. This is often desirable to mitigate
-data errors and provide better results when points are widely spaced. Would
-changing the default values give us a better score?
-
-We can answer this question by changing the values in our ``spline`` and
-re-evaluating the model score repeatedly for different values of this
-parameter. Let's test the following values:
-
-.. GENERATED FROM PYTHON SOURCE LINES 64-67
-
-.. code-block:: default
-
-
-    dampings = [None, 1e-4, 1e-3, 1e-2]
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 68-70
-
-Now we can loop over each value and collect the scores for each parameter
-choice.
-
-.. GENERATED FROM PYTHON SOURCE LINES 70-79
-
-.. code-block:: default
-
-
-    spline = vd.Spline()
-    scores = []
-    for damping in dampings:
-        spline.set_params(damping=damping)
-        score = np.mean(vd.cross_val_score(spline, proj_coords, data.air_temperature_c))
-        scores.append(score)
-    print(scores)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    [0.7960368857080609, 0.8447749626590715, 0.8382287942998186, 0.8409658539038958]
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 80-81
-
-The largest score will yield the best parameter combination.
-
-.. GENERATED FROM PYTHON SOURCE LINES 81-87
-
-.. code-block:: default
-
-
-    best = np.argmax(scores)
-    print("Best score:", scores[best])
-    print("Score with defaults:", score_default)
-    print("Best damping:", dampings[best])
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    Best score: 0.8447749626590715
-    Score with defaults: 0.7960368857080609
-    Best damping: 0.0001
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 88-94
-
-**That is a nice improvement over our previous score!**
-
-This type of tuning is important and should always be performed when using a
-new gridder or a new dataset. However, the above implementation requires a
-lot of coding. Fortunately, Verde provides convenience classes that perform
-the cross-validation and tuning automatically when fitting a dataset.
-
-.. GENERATED FROM PYTHON SOURCE LINES 97-105
-
-Cross-validated gridders
-------------------------
-
-The :class:`verde.SplineCV` class provides a cross-validated version of
-:class:`verde.Spline`. It has almost the same interface but does all of the
-above automatically when fitting a dataset. The only difference is that you
-must provide a list of ``damping`` values to try instead of only a single
-value:
-
-.. GENERATED FROM PYTHON SOURCE LINES 105-108
-
-.. code-block:: default
-
-
-    spline = vd.SplineCV(dampings=dampings)
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 109-111
-
-Calling :meth:`~verde.SplineCV.fit` will run a grid search over all parameter
-values to find the one that maximizes the cross-validation score.
-
-.. GENERATED FROM PYTHON SOURCE LINES 111-114
-
-.. code-block:: default
-
-
-    spline.fit(proj_coords, data.air_temperature_c)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      self.spline_ = Spline(**parameter_sets[best])
-
-
-.. raw:: html
-
-    <div class="output_subarea output_html rendered_html output_result">
-    <style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">SplineCV</label><div class="sk-toggleable__content"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre></div></div></div></div></div>
-    </div>
-    <br />
-    <br />
-
-.. GENERATED FROM PYTHON SOURCE LINES 115-117
-
-The estimated best ``damping``, as well as the cross-validation scores, are
-stored in class attributes:
-
-.. GENERATED FROM PYTHON SOURCE LINES 117-121
-
-.. code-block:: default
-
-
-    print("Highest score:", spline.scores_.max())
-    print("Best damping:", spline.damping_)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    Highest score: 0.8447749626590715
-    Best damping: 0.0001
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 122-124
-
-The cross-validated gridder can be used like any other gridder (including in
-:class:`verde.Chain` and :class:`verde.Vector`):
-
-.. GENERATED FROM PYTHON SOURCE LINES 124-134
-
-.. code-block:: default
-
-
-    grid = spline.grid(
-        region=region,
-        spacing=spacing,
-        projection=projection,
-        dims=["latitude", "longitude"],
-        data_names="temperature",
-    )
-    print(grid)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    <xarray.Dataset>
-    Dimensions:      (latitude: 43, longitude: 51)
-    Coordinates:
-      * longitude    (longitude) float64 -106.4 -106.1 -105.9 ... -94.06 -93.8
-      * latitude     (latitude) float64 25.91 26.16 26.41 ... 35.91 36.16 36.41
-    Data variables:
-        temperature  (latitude, longitude) float64 24.7 24.56 24.42 ... 7.542 7.639
-    Attributes:
-        metadata:  Generated by SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mi...
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 135-138
-
-Like :func:`verde.cross_val_score`, :class:`~verde.SplineCV` can also run the
-grid search in parallel using `Dask <https://dask.org/>`__ by specifying the
-``delayed`` attribute:
-
-.. GENERATED FROM PYTHON SOURCE LINES 138-141
-
-.. code-block:: default
-
-
-    spline = vd.SplineCV(dampings=dampings, delayed=True)
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 142-145
-
-Unlike :func:`verde.cross_val_score`, calling :meth:`~verde.SplineCV.fit`
-does **not** result in :func:`dask.delayed` objects. The full grid search is
-executed and the optimal parameters are found immediately.
-
-.. GENERATED FROM PYTHON SOURCE LINES 145-150
-
-.. code-block:: default
-
-
-    spline.fit(proj_coords, data.air_temperature_c)
-
-    print("Best damping:", spline.damping_)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      spline = Spline(**params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      new_object = klass(**new_object_params)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      score = estimator.score(*test_data)
-    /usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
-      self.spline_ = Spline(**parameter_sets[best])
-    Best damping: 0.0001
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 151-154
-
-The one caveat is the that the ``scores_`` attribute will be a list of
-:func:`dask.delayed` objects instead because the scores are only computed as
-intermediate values in the scheduled computations.
-
-.. GENERATED FROM PYTHON SOURCE LINES 154-157
-
-.. code-block:: default
-
-
-    print("Delayed scores:", spline.scores_)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    Delayed scores: [Delayed('mean-ca72dae0-6a62-47bc-93fb-e5d1f76751ac'), Delayed('mean-53b37bdb-3c6e-4e88-92c2-92e544879f81'), Delayed('mean-628bc887-7136-4719-b9f6-c180de882cbc'), Delayed('mean-59ffe4df-c537-45ed-a42f-9a8cffb2e2d2')]
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 158-162
-
-Calling :func:`dask.compute` on the scores will calculate their values but
-will unfortunately run the entire grid search again. So using
-``delayed=True`` is not recommended if you need the scores of each parameter
-combination.
-
-.. GENERATED FROM PYTHON SOURCE LINES 164-169
-
-The importance of tuning
-------------------------
-
-To see the difference that tuning has on the results, we can make a grid
-with the best configuration and see how it compares to the default result.
-
-.. GENERATED FROM PYTHON SOURCE LINES 169-178
-
-.. code-block:: default
-
-
-    grid_default = spline_default.grid(
-        region=region,
-        spacing=spacing,
-        projection=projection,
-        dims=["latitude", "longitude"],
-        data_names="temperature",
-    )
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 179-180
-
-Let's plot our grids side-by-side:
-
-.. GENERATED FROM PYTHON SOURCE LINES 180-211
-
-.. code-block:: default
-
-
-    mask = vd.distance_mask(
-        (data.longitude, data.latitude),
-        maxdist=3 * spacing * 111e3,
-        coordinates=vd.grid_coordinates(region, spacing=spacing),
-        projection=projection,
-    )
-
-    grid = grid.where(mask)
-    grid_default = grid_default.where(mask)
-
-    plt.figure(figsize=(14, 8))
-    for i, title, grd in zip(range(2), ["Defaults", "Tuned"], [grid_default, grid]):
-        ax = plt.subplot(1, 2, i + 1, projection=ccrs.Mercator())
-        ax.set_title(title)
-        pc = grd.temperature.plot.pcolormesh(
-            ax=ax,
-            cmap="plasma",
-            transform=ccrs.PlateCarree(),
-            vmin=data.air_temperature_c.min(),
-            vmax=data.air_temperature_c.max(),
-            add_colorbar=False,
-            add_labels=False,
-        )
-        plt.colorbar(pc, orientation="horizontal", aspect=50, pad=0.05).set_label("C")
-        ax.plot(
-            data.longitude, data.latitude, ".k", markersize=1, transform=ccrs.PlateCarree()
-        )
-        vd.datasets.setup_texas_wind_map(ax)
-    plt.show()
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_model_selection_001.png
-   :alt: Defaults, Tuned
-   :srcset: /tutorials/images/sphx_glr_model_selection_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 212-215
-
-Notice that, for sparse data like these, **smoother models tend to be better
-predictors**. This is a sign that you should probably not trust many of the
-short wavelength features that we get from the defaults.
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.498 seconds)
-
-
-.. _sphx_glr_download_tutorials_model_selection.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: model_selection.py <model_selection.py>`
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-     :download:`Download Jupyter notebook: model_selection.ipynb <model_selection.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/tutorials/overview.rst.txt b/dev/_sources/tutorials/overview.rst
similarity index 89%
rename from dev/_sources/tutorials/overview.rst.txt
rename to dev/_sources/tutorials/overview.rst
index 9c7a8fc89..c83fb5925 100644
--- a/dev/_sources/tutorials/overview.rst.txt
+++ b/dev/_sources/tutorials/overview.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_overview.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_overview.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -56,7 +56,7 @@ use ``vd`` as the alias for :mod:`verde`.
 
 .. GENERATED FROM PYTHON SOURCE LINES 45-49
 
-.. code-block:: default
+.. code-block:: Python
 
     import matplotlib.pyplot as plt
 
@@ -94,7 +94,7 @@ As an example, let's generate some synthetic data using
 
 .. GENERATED FROM PYTHON SOURCE LINES 70-75
 
-.. code-block:: default
+.. code-block:: Python
 
 
     data = vd.synthetic.CheckerBoard().scatter(size=500, random_state=0)
@@ -107,8 +107,6 @@ As an example, let's generate some synthetic data using
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
           northing      easting     scalars
@@ -128,7 +126,7 @@ us in a :class:`pandas.DataFrame`:
 
 .. GENERATED FROM PYTHON SOURCE LINES 78-84
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure()
@@ -155,7 +153,7 @@ data. First, we create a new :class:`verde.Spline`:
 
 .. GENERATED FROM PYTHON SOURCE LINES 87-92
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spline = vd.Spline()
@@ -168,8 +166,6 @@ data. First, we create a new :class:`verde.Spline`:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Spline(mindist=0)
@@ -184,7 +180,7 @@ that, we can use the spline to predict values anywhere:
 
 .. GENERATED FROM PYTHON SOURCE LINES 95-108
 
-.. code-block:: default
+.. code-block:: Python
 
 
     spline.fit((data.easting, data.northing), data.scalars)
@@ -208,6 +204,13 @@ that, we can use the spline to predict values anywhere:
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+
 
 
 
@@ -220,7 +223,7 @@ function using the :meth:`~verde.Spline.score` method to calculate the
 
 .. GENERATED FROM PYTHON SOURCE LINES 113-117
 
-.. code-block:: default
+.. code-block:: Python
 
 
     true_values = vd.synthetic.CheckerBoard().predict(grid_coords)
@@ -232,13 +235,11 @@ function using the :meth:`~verde.Spline.score` method to calculate the
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     /home/runner/work/verde/verde/doc/tutorials_src/overview.py:115: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
       print(spline.score(grid_coords, true_values))
-    0.9950450863038868
+    0.9950450863038913
 
 
 
@@ -254,7 +255,7 @@ coordinates and output an :class:`xarray.Dataset`.
 
 .. GENERATED FROM PYTHON SOURCE LINES 124-128
 
-.. code-block:: default
+.. code-block:: Python
 
 
     grid = spline.grid(spacing=30)
@@ -266,8 +267,6 @@ coordinates and output an :class:`xarray.Dataset`.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     <xarray.Dataset>
@@ -291,7 +290,7 @@ these names by setting the ``dims`` and ``data_names`` arguments.
 
 .. GENERATED FROM PYTHON SOURCE LINES 132-140
 
-.. code-block:: default
+.. code-block:: Python
 
 
     grid = spline.grid(spacing=30, dims=["latitude", "longitude"], data_names="gravity")
@@ -312,8 +311,6 @@ these names by setting the ``dims`` and ``data_names`` arguments.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     <xarray.Dataset>
@@ -337,7 +334,7 @@ data are returned as a :class:`pandas.DataFrame`.
 
 .. GENERATED FROM PYTHON SOURCE LINES 144-153
 
-.. code-block:: default
+.. code-block:: Python
 
 
     prof = spline.profile(point1=(0, 0), point2=(5000, -5000), size=200)
@@ -359,8 +356,6 @@ data are returned as a :class:`pandas.DataFrame`.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
          northing     easting    distance     scalars
@@ -390,28 +385,22 @@ documentation will involve some variation of the following workflow:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.686 seconds)
+   **Total running time of the script:** (0 minutes 0.466 seconds)
 
 
 .. _sphx_glr_download_tutorials_overview.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: overview.py <overview.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: overview.ipynb <overview.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: overview.ipynb <overview.ipynb>`
+      :download:`Download Python source code: overview.py <overview.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/projections.rst.txt b/dev/_sources/tutorials/projections.rst
similarity index 85%
rename from dev/_sources/tutorials/projections.rst.txt
rename to dev/_sources/tutorials/projections.rst
index d93598e37..d00ef8338 100644
--- a/dev/_sources/tutorials/projections.rst.txt
+++ b/dev/_sources/tutorials/projections.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_projections.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_projections.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -31,7 +31,7 @@ projection operations.
 
 .. GENERATED FROM PYTHON SOURCE LINES 19-26
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -55,7 +55,7 @@ we'll use a Mercator projection.
 
 .. GENERATED FROM PYTHON SOURCE LINES 30-35
 
-.. code-block:: default
+.. code-block:: Python
 
 
     data = vd.datasets.fetch_baja_bathymetry()
@@ -76,7 +76,7 @@ will take longitude and latitude and return easting and northing coordinates.
 
 .. GENERATED FROM PYTHON SOURCE LINES 38-43
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # pyproj doesn't play well with Pandas so we need to convert to numpy arrays
@@ -89,8 +89,6 @@ will take longitude and latitude and return easting and northing coordinates.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     (array([-11749316.65303046, -11748999.90777981, -11748682.14077029, ...,
@@ -106,7 +104,7 @@ We can plot our projected coordinates using matplotlib.
 
 .. GENERATED FROM PYTHON SOURCE LINES 45-56
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(7, 6))
@@ -142,7 +140,7 @@ convert it to Cartesian using the 1 degree approx. 111 km rule-of-thumb.
 
 .. GENERATED FROM PYTHON SOURCE LINES 63-68
 
-.. code-block:: default
+.. code-block:: Python
 
     spacing = 10 / 60
     reducer = vd.BlockReduce(np.median, spacing=spacing * 111e3)
@@ -153,6 +151,17 @@ convert it to Cartesian using the 1 degree approx. 111 km rule-of-thumb.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function median at 0x7f7a634ca7a0> is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "median" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
+
 
 
 
@@ -163,7 +172,7 @@ in projected Cartesian coordinates.
 
 .. GENERATED FROM PYTHON SOURCE LINES 71-75
 
-.. code-block:: default
+.. code-block:: Python
 
     grid = spline.grid(spacing=spacing * 111e3, data_names="bathymetry")
     print("Cartesian grid:")
@@ -175,8 +184,6 @@ in projected Cartesian coordinates.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Cartesian grid:
@@ -200,7 +207,7 @@ spurious solutions far away from the data points.
 
 .. GENERATED FROM PYTHON SOURCE LINES 78-92
 
-.. code-block:: default
+.. code-block:: Python
 
     grid = vd.distance_mask(proj_coords, maxdist=30e3, grid=grid)
 
@@ -246,7 +253,7 @@ spline.
 
 .. GENERATED FROM PYTHON SOURCE LINES 106-122
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # Get the geographic bounding region of the data
@@ -270,8 +277,6 @@ spline.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     Data region in degrees: (245.0, 254.705, 20.0, 29.99131)
@@ -299,7 +304,7 @@ argument and will project the coordinates before calculating distances.
 
 .. GENERATED FROM PYTHON SOURCE LINES 128-133
 
-.. code-block:: default
+.. code-block:: Python
 
 
     grid_geo = vd.distance_mask(
@@ -319,7 +324,7 @@ Now we can use the Cartopy library to plot our geographic grid.
 
 .. GENERATED FROM PYTHON SOURCE LINES 135-146
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(7, 6))
@@ -343,8 +348,6 @@ Now we can use the Cartopy library to plot our geographic grid.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     /home/runner/work/verde/verde/doc/tutorials_src/projections.py:143: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
@@ -376,7 +379,7 @@ longitude and latitude points taken from the map above).
 
 .. GENERATED FROM PYTHON SOURCE LINES 165-178
 
-.. code-block:: default
+.. code-block:: Python
 
 
     start = (-114.5, 24.7)
@@ -397,8 +400,6 @@ longitude and latitude points taken from the map above).
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
           latitude   longitude       distance   bathymetry
@@ -412,7 +413,7 @@ longitude and latitude points taken from the map above).
     196  20.564257 -110.067839  642203.478581 -2969.351779
     197  20.542841 -110.045226  645480.026941 -2914.069305
     198  20.521422 -110.022613  648756.575301 -2859.557817
-    199  20.500000 -110.000000  652033.123661 -2818.101949
+    199  20.500000 -110.000000  652033.123661 -2818.101948
 
     [200 rows x 4 columns]
 
@@ -425,7 +426,7 @@ Plot the profile location on our geographic grid from above.
 
 .. GENERATED FROM PYTHON SOURCE LINES 180-194
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(7, 6))
@@ -452,8 +453,6 @@ Plot the profile location on our geographic grid from above.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     /home/runner/work/verde/verde/doc/tutorials_src/projections.py:191: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
@@ -468,7 +467,7 @@ And finally plot the profile.
 
 .. GENERATED FROM PYTHON SOURCE LINES 196-207
 
-.. code-block:: default
+.. code-block:: Python
 
 
     plt.figure(figsize=(8, 3))
@@ -496,28 +495,22 @@ And finally plot the profile.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.739 seconds)
+   **Total running time of the script:** (0 minutes 1.296 seconds)
 
 
 .. _sphx_glr_download_tutorials_projections.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: projections.py <projections.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: projections.ipynb <projections.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: projections.ipynb <projections.ipynb>`
+      :download:`Download Python source code: projections.py <projections.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/sg_execution_times.rst b/dev/_sources/tutorials/sg_execution_times.rst
new file mode 100644
index 000000000..fc1f3c8f7
--- /dev/null
+++ b/dev/_sources/tutorials/sg_execution_times.rst
@@ -0,0 +1,64 @@
+
+:orphan:
+
+.. _sphx_glr_tutorials_sg_execution_times:
+
+
+Computation times
+=================
+**00:14.925** total execution time for 10 files **from tutorials**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_tutorials_chain.py` (``chain.py``)
+     - 00:04.145
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_decimation.py` (``decimation.py``)
+     - 00:03.409
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_weights.py` (``weights.py``)
+     - 00:02.482
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_projections.py` (``projections.py``)
+     - 00:01.296
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_vectors.py` (``vectors.py``)
+     - 00:01.255
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_model_evaluation.py` (``model_evaluation.py``)
+     - 00:00.806
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_model_selection.py` (``model_selection.py``)
+     - 00:00.551
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_overview.py` (``overview.py``)
+     - 00:00.466
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_trends.py` (``trends.py``)
+     - 00:00.317
+     - 0.0
+   * - :ref:`sphx_glr_tutorials_grid_coordinates.py` (``grid_coordinates.py``)
+     - 00:00.197
+     - 0.0
diff --git a/dev/_sources/tutorials/sg_execution_times.rst.txt b/dev/_sources/tutorials/sg_execution_times.rst.txt
deleted file mode 100644
index 91dacf9a4..000000000
--- a/dev/_sources/tutorials/sg_execution_times.rst.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-
-:orphan:
-
-.. _sphx_glr_tutorials_sg_execution_times:
-
-Computation times
-=================
-**00:22.008** total execution time for **tutorials** files:
-
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_chain.py` (``chain.py``)                       | 00:10.906 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_decimation.py` (``decimation.py``)             | 00:02.958 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_weights.py` (``weights.py``)                   | 00:02.758 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_projections.py` (``projections.py``)           | 00:01.739 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_vectors.py` (``vectors.py``)                   | 00:01.403 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_overview.py` (``overview.py``)                 | 00:00.686 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_model_selection.py` (``model_selection.py``)   | 00:00.498 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_model_evaluation.py` (``model_evaluation.py``) | 00:00.475 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_trends.py` (``trends.py``)                     | 00:00.326 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_grid_coordinates.py` (``grid_coordinates.py``) | 00:00.259 | 0.0 MB |
-+-------------------------------------------------------------------------+-----------+--------+
diff --git a/dev/_sources/tutorials/trends.rst.txt b/dev/_sources/tutorials/trends.rst
similarity index 77%
rename from dev/_sources/tutorials/trends.rst.txt
rename to dev/_sources/tutorials/trends.rst
index feee453d4..dfc5ba914 100644
--- a/dev/_sources/tutorials/trends.rst.txt
+++ b/dev/_sources/tutorials/trends.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_trends.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_trends.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -29,7 +29,7 @@ to the data and can be used to remove it.
 
 .. GENERATED FROM PYTHON SOURCE LINES 17-23
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -51,7 +51,7 @@ ocean:
 
 .. GENERATED FROM PYTHON SOURCE LINES 26-44
 
-.. code-block:: default
+.. code-block:: Python
 
 
     data = vd.datasets.fetch_texas_wind()
@@ -89,7 +89,7 @@ We can estimate the polynomial coefficients for this trend:
 
 .. GENERATED FROM PYTHON SOURCE LINES 46-50
 
-.. code-block:: default
+.. code-block:: Python
 
 
     trend = vd.Trend(degree=1).fit(coordinates, data.air_temperature_c)
@@ -101,10 +101,10 @@ We can estimate the polynomial coefficients for this trend:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
     [102.4946959    0.44373823  -1.48922224]
 
 
@@ -117,7 +117,7 @@ data:
 
 .. GENERATED FROM PYTHON SOURCE LINES 53-91
 
-.. code-block:: default
+.. code-block:: Python
 
 
     trend_values = trend.predict(coordinates)
@@ -176,7 +176,7 @@ step using the :meth:`~verde.Trend.filter` method:
 
 .. GENERATED FROM PYTHON SOURCE LINES 94-101
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # ``filter`` always outputs coordinates and weights as well, which we don't
@@ -191,10 +191,10 @@ step using the :meth:`~verde.Trend.filter` method:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
     True
 
 
@@ -209,28 +209,22 @@ Additionally, :class:`verde.Trend` implements the :ref:`gridder interface
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.326 seconds)
+   **Total running time of the script:** (0 minutes 0.317 seconds)
 
 
 .. _sphx_glr_download_tutorials_trends.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: trends.py <trends.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: trends.ipynb <trends.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: trends.ipynb <trends.ipynb>`
+      :download:`Download Python source code: trends.py <trends.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/tutorials/vectors.rst b/dev/_sources/tutorials/vectors.rst
new file mode 100644
index 000000000..c358e43fc
--- /dev/null
+++ b/dev/_sources/tutorials/vectors.rst
@@ -0,0 +1,1036 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "tutorials/vectors.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        :ref:`Go to the end <sphx_glr_download_tutorials_vectors.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_tutorials_vectors.py:
+
+
+Vector Data
+===========
+
+Some datasets have multiple vector components measured for each location, like
+the East and West components of wind speed or GPS velocities. For example,
+let's look at our sample GPS velocity data from the U.S. West coast.
+
+.. GENERATED FROM PYTHON SOURCE LINES 15-48
+
+.. code-block:: Python
+
+    import cartopy.crs as ccrs
+    import matplotlib.pyplot as plt
+    import pyproj
+
+    import verde as vd
+
+    data = vd.datasets.fetch_california_gps()
+
+    # We'll need to project the geographic coordinates to work with our Cartesian
+    # classes/functions
+    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
+    proj_coords = projection(data.longitude.values, data.latitude.values)
+    # This will be our desired grid spacing in degrees
+    spacing = 12 / 60
+
+    plt.figure(figsize=(6, 8))
+    ax = plt.axes(projection=ccrs.Mercator())
+    crs = ccrs.PlateCarree()
+    tmp = ax.quiver(
+        data.longitude.values,
+        data.latitude.values,
+        data.velocity_east.values,
+        data.velocity_north.values,
+        scale=0.3,
+        transform=crs,
+        width=0.002,
+    )
+    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
+    ax.set_title("GPS horizontal velocities")
+    vd.datasets.setup_california_gps_map(ax)
+    plt.show()
+
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_vectors_001.png
+   :alt: GPS horizontal velocities
+   :srcset: /tutorials/images/sphx_glr_vectors_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 49-66
+
+Verde classes and functions are equipped to deal with vector data natively or
+through the use of the :class:`verde.Vector` class. Function and classes that
+can take vector data as input will accept tuples as the ``data`` and
+``weights`` arguments. Each element of the tuple must be an array with the
+data values for a component of the vector data. As with ``coordinates``,
+**the order of components must be** ``(east_component, north_component,
+up_component)``.
+
+
+Blocked reductions
+------------------
+
+Operations with :class:`verde.BlockReduce` and :class:`verde.BlockMean` can
+handle multi-component data automatically. The reduction operation is applied
+to each data component separately. The blocked data and weights will be
+returned in tuples as well following the same ordering as the inputs. This
+will work for an arbitrary number of components.
+
+.. GENERATED FROM PYTHON SOURCE LINES 66-76
+
+.. code-block:: Python
+
+
+    # Use a blocked mean with uncertainty type weights
+    reducer = vd.BlockMean(spacing=spacing * 111e3, uncertainty=True)
+    block_coords, block_data, block_weights = reducer.filter(
+        coordinates=proj_coords,
+        data=(data.velocity_east, data.velocity_north),
+        weights=(1 / data.std_east**2, 1 / data.std_north**2),
+    )
+    print(len(block_data), len(block_weights))
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    2 2
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 77-79
+
+We can convert the blocked coordinates back to longitude and latitude to plot
+with Cartopy.
+
+.. GENERATED FROM PYTHON SOURCE LINES 79-99
+
+.. code-block:: Python
+
+
+    block_lon, block_lat = projection(*block_coords, inverse=True)
+
+    plt.figure(figsize=(6, 8))
+    ax = plt.axes(projection=ccrs.Mercator())
+    crs = ccrs.PlateCarree()
+    tmp = ax.quiver(
+        block_lon,
+        block_lat,
+        block_data[0],
+        block_data[1],
+        scale=0.3,
+        transform=crs,
+        width=0.002,
+    )
+    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
+    ax.set_title("Block mean velocities")
+    vd.datasets.setup_california_gps_map(ax)
+    plt.show()
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_vectors_002.png
+   :alt: Block mean velocities
+   :srcset: /tutorials/images/sphx_glr_vectors_002.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 100-115
+
+Trends
+------
+
+Trends can't handle vector data automatically, so you can't pass
+``data=(data.velocity_east, data.velocity_north)`` to
+:meth:`verde.Trend.fit`. To get around that, you can use the
+:class:`verde.Vector` class to create multi-component estimators and gridders
+from single component ones.
+
+:class:`~verde.Vector` takes an estimator/gridder for each data component and
+implements the :ref:`gridder interface <gridder_interface>` for vector data,
+fitting each estimator/gridder given to a different component of the data.
+
+For example, to fit a trend to our GPS velocities, we need to make a
+2-component vector trend:
+
+.. GENERATED FROM PYTHON SOURCE LINES 115-119
+
+.. code-block:: Python
+
+
+    trend = vd.Vector([vd.Trend(4), vd.Trend(1)])
+    print(trend)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Vector(components=[Trend(degree=4), Trend(degree=1)])
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 120-123
+
+We can use the ``trend`` as if it were a regular :class:`verde.Trend` but
+passing in 2-component data to fit. This will fit each data component to a
+different :class:`verde.Trend`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 123-130
+
+.. code-block:: Python
+
+
+    trend.fit(
+        coordinates=proj_coords,
+        data=(data.velocity_east, data.velocity_north),
+        weights=(1 / data.std_east**2, 1 / data.std_north**2),
+    )
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      regr.fit(jacobian, data.ravel(), sample_weight=weights)
+
+
+.. raw:: html
+
+    <div class="output_subarea output_html rendered_html output_result">
+    <style>#sk-container-id-4 {
+      /* Definition of color scheme common for light and dark mode */
+      --sklearn-color-text: black;
+      --sklearn-color-line: gray;
+      /* Definition of color scheme for unfitted estimators */
+      --sklearn-color-unfitted-level-0: #fff5e6;
+      --sklearn-color-unfitted-level-1: #f6e4d2;
+      --sklearn-color-unfitted-level-2: #ffe0b3;
+      --sklearn-color-unfitted-level-3: chocolate;
+      /* Definition of color scheme for fitted estimators */
+      --sklearn-color-fitted-level-0: #f0f8ff;
+      --sklearn-color-fitted-level-1: #d4ebff;
+      --sklearn-color-fitted-level-2: #b3dbfd;
+      --sklearn-color-fitted-level-3: cornflowerblue;
+
+      /* Specific color for light theme */
+      --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+      --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+      --sklearn-color-icon: #696969;
+
+      @media (prefers-color-scheme: dark) {
+        /* Redefinition of color scheme for dark theme */
+        --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+        --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+        --sklearn-color-icon: #878787;
+      }
+    }
+
+    #sk-container-id-4 {
+      color: var(--sklearn-color-text);
+    }
+
+    #sk-container-id-4 pre {
+      padding: 0;
+    }
+
+    #sk-container-id-4 input.sk-hidden--visually {
+      border: 0;
+      clip: rect(1px 1px 1px 1px);
+      clip: rect(1px, 1px, 1px, 1px);
+      height: 1px;
+      margin: -1px;
+      overflow: hidden;
+      padding: 0;
+      position: absolute;
+      width: 1px;
+    }
+
+    #sk-container-id-4 div.sk-dashed-wrapped {
+      border: 1px dashed var(--sklearn-color-line);
+      margin: 0 0.4em 0.5em 0.4em;
+      box-sizing: border-box;
+      padding-bottom: 0.4em;
+      background-color: var(--sklearn-color-background);
+    }
+
+    #sk-container-id-4 div.sk-container {
+      /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+         but bootstrap.min.css set `[hidden] { display: none !important; }`
+         so we also need the `!important` here to be able to override the
+         default hidden behavior on the sphinx rendered scikit-learn.org.
+         See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+      display: inline-block !important;
+      position: relative;
+    }
+
+    #sk-container-id-4 div.sk-text-repr-fallback {
+      display: none;
+    }
+
+    div.sk-parallel-item,
+    div.sk-serial,
+    div.sk-item {
+      /* draw centered vertical line to link estimators */
+      background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+      background-size: 2px 100%;
+      background-repeat: no-repeat;
+      background-position: center center;
+    }
+
+    /* Parallel-specific style estimator block */
+
+    #sk-container-id-4 div.sk-parallel-item::after {
+      content: "";
+      width: 100%;
+      border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+      flex-grow: 1;
+    }
+
+    #sk-container-id-4 div.sk-parallel {
+      display: flex;
+      align-items: stretch;
+      justify-content: center;
+      background-color: var(--sklearn-color-background);
+      position: relative;
+    }
+
+    #sk-container-id-4 div.sk-parallel-item {
+      display: flex;
+      flex-direction: column;
+    }
+
+    #sk-container-id-4 div.sk-parallel-item:first-child::after {
+      align-self: flex-end;
+      width: 50%;
+    }
+
+    #sk-container-id-4 div.sk-parallel-item:last-child::after {
+      align-self: flex-start;
+      width: 50%;
+    }
+
+    #sk-container-id-4 div.sk-parallel-item:only-child::after {
+      width: 0;
+    }
+
+    /* Serial-specific style estimator block */
+
+    #sk-container-id-4 div.sk-serial {
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      background-color: var(--sklearn-color-background);
+      padding-right: 1em;
+      padding-left: 1em;
+    }
+
+
+    /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+    clickable and can be expanded/collapsed.
+    - Pipeline and ColumnTransformer use this feature and define the default style
+    - Estimators will overwrite some part of the style using the `sk-estimator` class
+    */
+
+    /* Pipeline and ColumnTransformer style (default) */
+
+    #sk-container-id-4 div.sk-toggleable {
+      /* Default theme specific background. It is overwritten whether we have a
+      specific estimator or a Pipeline/ColumnTransformer */
+      background-color: var(--sklearn-color-background);
+    }
+
+    /* Toggleable label */
+    #sk-container-id-4 label.sk-toggleable__label {
+      cursor: pointer;
+      display: block;
+      width: 100%;
+      margin-bottom: 0;
+      padding: 0.5em;
+      box-sizing: border-box;
+      text-align: center;
+    }
+
+    #sk-container-id-4 label.sk-toggleable__label-arrow:before {
+      /* Arrow on the left of the label */
+      content: "▸";
+      float: left;
+      margin-right: 0.25em;
+      color: var(--sklearn-color-icon);
+    }
+
+    #sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {
+      color: var(--sklearn-color-text);
+    }
+
+    /* Toggleable content - dropdown */
+
+    #sk-container-id-4 div.sk-toggleable__content {
+      max-height: 0;
+      max-width: 0;
+      overflow: hidden;
+      text-align: left;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-4 div.sk-toggleable__content.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-4 div.sk-toggleable__content pre {
+      margin: 0.2em;
+      border-radius: 0.25em;
+      color: var(--sklearn-color-text);
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-4 div.sk-toggleable__content.fitted pre {
+      /* unfitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    #sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+      /* Expand drop-down */
+      max-height: 200px;
+      max-width: 100%;
+      overflow: auto;
+    }
+
+    #sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+      content: "▾";
+    }
+
+    /* Pipeline/ColumnTransformer-specific style */
+
+    #sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator-specific style */
+
+    /* Colorize estimator box */
+    #sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    #sk-container-id-4 div.sk-label label.sk-toggleable__label,
+    #sk-container-id-4 div.sk-label label {
+      /* The background is the default theme color */
+      color: var(--sklearn-color-text-on-default-background);
+    }
+
+    /* On hover, darken the color of the background */
+    #sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    /* Label box, darken color on hover, fitted */
+    #sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+      color: var(--sklearn-color-text);
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Estimator label */
+
+    #sk-container-id-4 div.sk-label label {
+      font-family: monospace;
+      font-weight: bold;
+      display: inline-block;
+      line-height: 1.2em;
+    }
+
+    #sk-container-id-4 div.sk-label-container {
+      text-align: center;
+    }
+
+    /* Estimator-specific */
+    #sk-container-id-4 div.sk-estimator {
+      font-family: monospace;
+      border: 1px dotted var(--sklearn-color-border-box);
+      border-radius: 0.25em;
+      box-sizing: border-box;
+      margin-bottom: 0.5em;
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-0);
+    }
+
+    #sk-container-id-4 div.sk-estimator.fitted {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-0);
+    }
+
+    /* on hover */
+    #sk-container-id-4 div.sk-estimator:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-2);
+    }
+
+    #sk-container-id-4 div.sk-estimator.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-2);
+    }
+
+    /* Specification for estimator info (e.g. "i" and "?") */
+
+    /* Common style for "i" and "?" */
+
+    .sk-estimator-doc-link,
+    a:link.sk-estimator-doc-link,
+    a:visited.sk-estimator-doc-link {
+      float: right;
+      font-size: smaller;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1em;
+      height: 1em;
+      width: 1em;
+      text-decoration: none !important;
+      margin-left: 1ex;
+      /* unfitted */
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+      color: var(--sklearn-color-unfitted-level-1);
+    }
+
+    .sk-estimator-doc-link.fitted,
+    a:link.sk-estimator-doc-link.fitted,
+    a:visited.sk-estimator-doc-link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    div.sk-estimator:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link:hover,
+    .sk-estimator-doc-link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover,
+    div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+    .sk-estimator-doc-link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    /* Span, style for the box shown on hovering the info icon */
+    .sk-estimator-doc-link span {
+      display: none;
+      z-index: 9999;
+      position: relative;
+      font-weight: normal;
+      right: .2ex;
+      padding: .5ex;
+      margin: .5ex;
+      width: min-content;
+      min-width: 20ex;
+      max-width: 50ex;
+      color: var(--sklearn-color-text);
+      box-shadow: 2pt 2pt 4pt #999;
+      /* unfitted */
+      background: var(--sklearn-color-unfitted-level-0);
+      border: .5pt solid var(--sklearn-color-unfitted-level-3);
+    }
+
+    .sk-estimator-doc-link.fitted span {
+      /* fitted */
+      background: var(--sklearn-color-fitted-level-0);
+      border: var(--sklearn-color-fitted-level-3);
+    }
+
+    .sk-estimator-doc-link:hover span {
+      display: block;
+    }
+
+    /* "?"-specific style due to the `<a>` HTML tag */
+
+    #sk-container-id-4 a.estimator_doc_link {
+      float: right;
+      font-size: 1rem;
+      line-height: 1em;
+      font-family: monospace;
+      background-color: var(--sklearn-color-background);
+      border-radius: 1rem;
+      height: 1rem;
+      width: 1rem;
+      text-decoration: none;
+      /* unfitted */
+      color: var(--sklearn-color-unfitted-level-1);
+      border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+    }
+
+    #sk-container-id-4 a.estimator_doc_link.fitted {
+      /* fitted */
+      border: var(--sklearn-color-fitted-level-1) 1pt solid;
+      color: var(--sklearn-color-fitted-level-1);
+    }
+
+    /* On hover */
+    #sk-container-id-4 a.estimator_doc_link:hover {
+      /* unfitted */
+      background-color: var(--sklearn-color-unfitted-level-3);
+      color: var(--sklearn-color-background);
+      text-decoration: none;
+    }
+
+    #sk-container-id-4 a.estimator_doc_link.fitted:hover {
+      /* fitted */
+      background-color: var(--sklearn-color-fitted-level-3);
+    }
+    </style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Vector<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre></div> </div></div></div></div>
+    </div>
+    <br />
+    <br />
+
+.. GENERATED FROM PYTHON SOURCE LINES 131-132
+
+Each estimator can be accessed through the ``components`` attribute:
+
+.. GENERATED FROM PYTHON SOURCE LINES 132-137
+
+.. code-block:: Python
+
+
+    print(trend.components)
+    print("East trend coefficients:", trend.components[0].coef_)
+    print("North trend coefficients:", trend.components[1].coef_)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    [Trend(degree=4), Trend(degree=1)]
+    East trend coefficients: [-3.31743842e+03 -1.61368024e-03 -1.08568612e-03 -2.77735425e-10
+     -2.99424188e-10  7.38718818e-12 -2.03916793e-17 -2.68710016e-17
+      3.36222190e-18  2.00921241e-18 -5.43959103e-25 -7.79030546e-25
+      2.71546631e-25  2.44086928e-25  5.03611061e-26]
+    North trend coefficients: [-3.35415183e-01 -4.50275691e-08 -3.75590521e-08]
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 138-141
+
+When we call :meth:`verde.Vector.predict` or :meth:`verde.Vector.grid`, we'll
+get back predictions for two components instead of just one. Each prediction
+comes from a different :class:`verde.Trend`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 141-154
+
+.. code-block:: Python
+
+
+    pred_east, pred_north = trend.predict(proj_coords)
+
+    # Make histograms of the residuals
+    plt.figure(figsize=(6, 5))
+    ax = plt.axes()
+    ax.set_title("Trend residuals")
+    ax.hist(data.velocity_north - pred_north, bins="auto", label="North", alpha=0.7)
+    ax.hist(data.velocity_east - pred_east, bins="auto", label="East", alpha=0.7)
+    ax.legend()
+    ax.set_xlabel("Velocity (m/yr)")
+    plt.show()
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_vectors_003.png
+   :alt: Trend residuals
+   :srcset: /tutorials/images/sphx_glr_vectors_003.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 155-159
+
+As expected, the residuals are higher for the North component because of the
+lower degree polynomial.
+
+Let's make geographic grids of these trends.
+
+.. GENERATED FROM PYTHON SOURCE LINES 159-170
+
+.. code-block:: Python
+
+
+    region = vd.get_region((data.longitude, data.latitude))
+
+    grid = trend.grid(
+        region=region,
+        spacing=spacing,
+        projection=projection,
+        dims=["latitude", "longitude"],
+    )
+    print(grid)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    <xarray.Dataset>
+    Dimensions:          (latitude: 49, longitude: 47)
+    Coordinates:
+      * longitude        (longitude) float64 235.7 235.9 236.1 ... 244.6 244.8 245.0
+      * latitude         (latitude) float64 32.29 32.49 32.69 ... 41.5 41.7 41.9
+    Data variables:
+        east_component   (latitude, longitude) float64 -0.1983 -0.1853 ... 0.01365
+        north_component  (latitude, longitude) float64 0.0541 0.05328 ... -0.02427
+    Attributes:
+        metadata:  Generated by Vector(components=[Trend(degree=4), Trend(degree=...
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 171-176
+
+By default, the names of the data components in the :class:`xarray.Dataset`
+are ``east_component`` and ``north_component``. This can be customized using
+the ``data_names`` argument.
+
+Now we can map the trends.
+
+.. GENERATED FROM PYTHON SOURCE LINES 176-201
+
+.. code-block:: Python
+
+
+    fig, axes = plt.subplots(
+        1, 2, figsize=(9, 7), subplot_kw=dict(projection=ccrs.Mercator())
+    )
+    crs = ccrs.PlateCarree()
+    titles = ["East component trend", "North component trend"]
+    components = [grid.east_component, grid.north_component]
+    for ax, component, title in zip(axes, components, titles):
+        ax.set_title(title)
+        maxabs = vd.maxabs(component)
+        tmp = component.plot.pcolormesh(
+            ax=ax,
+            vmin=-maxabs,
+            vmax=maxabs,
+            cmap="bwr",
+            transform=crs,
+            add_colorbar=False,
+            add_labels=False,
+        )
+        cb = plt.colorbar(tmp, ax=ax, orientation="horizontal", pad=0.05)
+        cb.set_label("meters/year")
+        vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
+        ax.coastlines(color="white")
+    plt.show()
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_vectors_004.png
+   :alt: East component trend, North component trend
+   :srcset: /tutorials/images/sphx_glr_vectors_004.png
+   :class: sphx-glr-single-img
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
+      vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
+    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
+      vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 202-212
+
+Gridding
+--------
+
+You can use :class:`verde.Vector` to create multi-component gridders out of
+:class:`verde.Spline` the same way as we did for trends. In this case, each
+component is treated separately.
+
+We can start by splitting the data into training and testing sets (see
+:ref:`model_selection`). Notice that :func:`verde.train_test_split` work for
+multicomponent data automatically.
+
+.. GENERATED FROM PYTHON SOURCE LINES 212-220
+
+.. code-block:: Python
+
+
+    train, test = vd.train_test_split(
+        coordinates=proj_coords,
+        data=(data.velocity_east, data.velocity_north),
+        weights=(1 / data.std_east**2, 1 / data.std_north**2),
+        random_state=1,
+    )
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      return tuple(i.ravel()[index] for i in arrays)
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 221-228
+
+Now we can make a 2-component spline. Since :class:`verde.Vector` implements
+``fit``, ``predict``, and ``filter``, we can use it in a :class:`verde.Chain`
+to build a pipeline.
+
+We need to use a bit of damping so that the weights can be taken into
+account. Splines without damping provide a perfect fit to the data and ignore
+the weights as a consequence.
+
+.. GENERATED FROM PYTHON SOURCE LINES 228-238
+
+.. code-block:: Python
+
+
+    chain = vd.Chain(
+        [
+            ("mean", vd.BlockMean(spacing=spacing * 111e3, uncertainty=True)),
+            ("trend", vd.Vector([vd.Trend(1), vd.Trend(1)])),
+            ("spline", vd.Vector([vd.Spline(damping=1e-10), vd.Spline(damping=1e-10)])),
+        ]
+    )
+    print(chain)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Chain(steps=[('mean', BlockMean(spacing=22200.0, uncertainty=True)),
+                 ('trend', Vector(components=[Trend(degree=1), Trend(degree=1)])),
+                 ('spline',
+                  Vector(components=[Spline(damping=1e-10, mindist=0),
+                                     Spline(damping=1e-10, mindist=0)]))])
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 239-247
+
+.. warning::
+
+    Never generate the component gridders with ``[vd.Spline()]*2``. This will
+    result in each component being a represented by **the same Spline
+    object**, causing problems when trying to fit it to different components.
+
+Fitting the spline and gridding is exactly the same as what we've done
+before.
+
+.. GENERATED FROM PYTHON SOURCE LINES 248-262
+
+.. code-block:: Python
+
+
+    chain.fit(*train)
+
+    # Score on the test data
+    print(chain.score(*test))
+
+    grid = chain.grid(
+        region=region,
+        spacing=spacing,
+        projection=projection,
+        dims=["latitude", "longitude"],
+    )
+    print(grid)
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:252: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+      print(chain.score(*test))
+    0.9926763528286797
+    <xarray.Dataset>
+    Dimensions:          (latitude: 49, longitude: 47)
+    Coordinates:
+      * longitude        (longitude) float64 235.7 235.9 236.1 ... 244.6 244.8 245.0
+      * latitude         (latitude) float64 32.29 32.49 32.69 ... 41.5 41.7 41.9
+    Data variables:
+        east_component   (latitude, longitude) float64 -0.0466 ... -0.0006166
+        north_component  (latitude, longitude) float64 0.08795 ... -0.0006054
+    Attributes:
+        metadata:  Generated by Chain(steps=[('mean', BlockMean(spacing=22200.0, ...
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 263-264
+
+Mask out the points too far from data and plot the gridded vectors.
+
+.. GENERATED FROM PYTHON SOURCE LINES 264-288
+
+.. code-block:: Python
+
+
+    grid = vd.distance_mask(
+        (data.longitude, data.latitude),
+        maxdist=spacing * 2 * 111e3,
+        grid=grid,
+        projection=projection,
+    )
+
+    plt.figure(figsize=(6, 8))
+    ax = plt.axes(projection=ccrs.Mercator())
+    tmp = ax.quiver(
+        grid.longitude.values,
+        grid.latitude.values,
+        grid.east_component.values,
+        grid.north_component.values,
+        scale=0.3,
+        transform=crs,
+        width=0.002,
+    )
+    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
+    ax.set_title("Gridded velocities")
+    vd.datasets.setup_california_gps_map(ax)
+    plt.show()
+
+
+
+
+.. image-sg:: /tutorials/images/sphx_glr_vectors_005.png
+   :alt: Gridded velocities
+   :srcset: /tutorials/images/sphx_glr_vectors_005.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 289-296
+
+GPS/GNSS data
++++++++++++++
+
+For some types of vector data, like GPS/GNSS displacements, the vector
+components are coupled through elasticity. In these cases, elastic Green's
+functions can be used to achieve better interpolation results. The
+:class:`verde.VectorSpline2D` implements these Green's functions.
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** (0 minutes 1.255 seconds)
+
+
+.. _sphx_glr_download_tutorials_vectors.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: vectors.ipynb <vectors.ipynb>`
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: vectors.py <vectors.py>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/tutorials/vectors.rst.txt b/dev/_sources/tutorials/vectors.rst.txt
deleted file mode 100644
index a3344320c..000000000
--- a/dev/_sources/tutorials/vectors.rst.txt
+++ /dev/null
@@ -1,628 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "tutorials/vectors.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_tutorials_vectors.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_tutorials_vectors.py:
-
-
-Vector Data
-===========
-
-Some datasets have multiple vector components measured for each location, like
-the East and West components of wind speed or GPS velocities. For example,
-let's look at our sample GPS velocity data from the U.S. West coast.
-
-.. GENERATED FROM PYTHON SOURCE LINES 15-48
-
-.. code-block:: default
-
-    import cartopy.crs as ccrs
-    import matplotlib.pyplot as plt
-    import pyproj
-
-    import verde as vd
-
-    data = vd.datasets.fetch_california_gps()
-
-    # We'll need to project the geographic coordinates to work with our Cartesian
-    # classes/functions
-    projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
-    proj_coords = projection(data.longitude.values, data.latitude.values)
-    # This will be our desired grid spacing in degrees
-    spacing = 12 / 60
-
-    plt.figure(figsize=(6, 8))
-    ax = plt.axes(projection=ccrs.Mercator())
-    crs = ccrs.PlateCarree()
-    tmp = ax.quiver(
-        data.longitude.values,
-        data.latitude.values,
-        data.velocity_east.values,
-        data.velocity_north.values,
-        scale=0.3,
-        transform=crs,
-        width=0.002,
-    )
-    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
-    ax.set_title("GPS horizontal velocities")
-    vd.datasets.setup_california_gps_map(ax)
-    plt.show()
-
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_vectors_001.png
-   :alt: GPS horizontal velocities
-   :srcset: /tutorials/images/sphx_glr_vectors_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 49-66
-
-Verde classes and functions are equipped to deal with vector data natively or
-through the use of the :class:`verde.Vector` class. Function and classes that
-can take vector data as input will accept tuples as the ``data`` and
-``weights`` arguments. Each element of the tuple must be an array with the
-data values for a component of the vector data. As with ``coordinates``,
-**the order of components must be** ``(east_component, north_component,
-up_component)``.
-
-
-Blocked reductions
-------------------
-
-Operations with :class:`verde.BlockReduce` and :class:`verde.BlockMean` can
-handle multi-component data automatically. The reduction operation is applied
-to each data component separately. The blocked data and weights will be
-returned in tuples as well following the same ordering as the inputs. This
-will work for an arbitrary number of components.
-
-.. GENERATED FROM PYTHON SOURCE LINES 66-76
-
-.. code-block:: default
-
-
-    # Use a blocked mean with uncertainty type weights
-    reducer = vd.BlockMean(spacing=spacing * 111e3, uncertainty=True)
-    block_coords, block_data, block_weights = reducer.filter(
-        coordinates=proj_coords,
-        data=(data.velocity_east, data.velocity_north),
-        weights=(1 / data.std_east**2, 1 / data.std_north**2),
-    )
-    print(len(block_data), len(block_weights))
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    2 2
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 77-79
-
-We can convert the blocked coordinates back to longitude and latitude to plot
-with Cartopy.
-
-.. GENERATED FROM PYTHON SOURCE LINES 79-99
-
-.. code-block:: default
-
-
-    block_lon, block_lat = projection(*block_coords, inverse=True)
-
-    plt.figure(figsize=(6, 8))
-    ax = plt.axes(projection=ccrs.Mercator())
-    crs = ccrs.PlateCarree()
-    tmp = ax.quiver(
-        block_lon,
-        block_lat,
-        block_data[0],
-        block_data[1],
-        scale=0.3,
-        transform=crs,
-        width=0.002,
-    )
-    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
-    ax.set_title("Block mean velocities")
-    vd.datasets.setup_california_gps_map(ax)
-    plt.show()
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_vectors_002.png
-   :alt: Block mean velocities
-   :srcset: /tutorials/images/sphx_glr_vectors_002.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 100-115
-
-Trends
-------
-
-Trends can't handle vector data automatically, so you can't pass
-``data=(data.velocity_east, data.velocity_north)`` to
-:meth:`verde.Trend.fit`. To get around that, you can use the
-:class:`verde.Vector` class to create multi-component estimators and gridders
-from single component ones.
-
-:class:`~verde.Vector` takes an estimator/gridder for each data component and
-implements the :ref:`gridder interface <gridder_interface>` for vector data,
-fitting each estimator/gridder given to a different component of the data.
-
-For example, to fit a trend to our GPS velocities, we need to make a
-2-component vector trend:
-
-.. GENERATED FROM PYTHON SOURCE LINES 115-119
-
-.. code-block:: default
-
-
-    trend = vd.Vector([vd.Trend(4), vd.Trend(1)])
-    print(trend)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    Vector(components=[Trend(degree=4), Trend(degree=1)])
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 120-123
-
-We can use the ``trend`` as if it were a regular :class:`verde.Trend` but
-passing in 2-component data to fit. This will fit each data component to a
-different :class:`verde.Trend`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 123-130
-
-.. code-block:: default
-
-
-    trend.fit(
-        coordinates=proj_coords,
-        data=(data.velocity_east, data.velocity_north),
-        weights=(1 / data.std_east**2, 1 / data.std_north**2),
-    )
-
-
-
-
-
-
-.. raw:: html
-
-    <div class="output_subarea output_html rendered_html output_result">
-    <style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">Vector</label><div class="sk-toggleable__content"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre></div></div></div></div></div>
-    </div>
-    <br />
-    <br />
-
-.. GENERATED FROM PYTHON SOURCE LINES 131-132
-
-Each estimator can be accessed through the ``components`` attribute:
-
-.. GENERATED FROM PYTHON SOURCE LINES 132-137
-
-.. code-block:: default
-
-
-    print(trend.components)
-    print("East trend coefficients:", trend.components[0].coef_)
-    print("North trend coefficients:", trend.components[1].coef_)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    [Trend(degree=4), Trend(degree=1)]
-    East trend coefficients: [-3.31743842e+03 -1.61368024e-03 -1.08568612e-03 -2.77735425e-10
-     -2.99424188e-10  7.38718817e-12 -2.03916793e-17 -2.68710016e-17
-      3.36222190e-18  2.00921241e-18 -5.43959103e-25 -7.79030546e-25
-      2.71546631e-25  2.44086928e-25  5.03611061e-26]
-    North trend coefficients: [-3.35415183e-01 -4.50275691e-08 -3.75590521e-08]
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 138-141
-
-When we call :meth:`verde.Vector.predict` or :meth:`verde.Vector.grid`, we'll
-get back predictions for two components instead of just one. Each prediction
-comes from a different :class:`verde.Trend`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 141-154
-
-.. code-block:: default
-
-
-    pred_east, pred_north = trend.predict(proj_coords)
-
-    # Make histograms of the residuals
-    plt.figure(figsize=(6, 5))
-    ax = plt.axes()
-    ax.set_title("Trend residuals")
-    ax.hist(data.velocity_north - pred_north, bins="auto", label="North", alpha=0.7)
-    ax.hist(data.velocity_east - pred_east, bins="auto", label="East", alpha=0.7)
-    ax.legend()
-    ax.set_xlabel("Velocity (m/yr)")
-    plt.show()
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_vectors_003.png
-   :alt: Trend residuals
-   :srcset: /tutorials/images/sphx_glr_vectors_003.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 155-159
-
-As expected, the residuals are higher for the North component because of the
-lower degree polynomial.
-
-Let's make geographic grids of these trends.
-
-.. GENERATED FROM PYTHON SOURCE LINES 159-170
-
-.. code-block:: default
-
-
-    region = vd.get_region((data.longitude, data.latitude))
-
-    grid = trend.grid(
-        region=region,
-        spacing=spacing,
-        projection=projection,
-        dims=["latitude", "longitude"],
-    )
-    print(grid)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    <xarray.Dataset>
-    Dimensions:          (latitude: 49, longitude: 47)
-    Coordinates:
-      * longitude        (longitude) float64 235.7 235.9 236.1 ... 244.6 244.8 245.0
-      * latitude         (latitude) float64 32.29 32.49 32.69 ... 41.5 41.7 41.9
-    Data variables:
-        east_component   (latitude, longitude) float64 -0.1983 -0.1853 ... 0.01365
-        north_component  (latitude, longitude) float64 0.0541 0.05328 ... -0.02427
-    Attributes:
-        metadata:  Generated by Vector(components=[Trend(degree=4), Trend(degree=...
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 171-176
-
-By default, the names of the data components in the :class:`xarray.Dataset`
-are ``east_component`` and ``north_component``. This can be customized using
-the ``data_names`` argument.
-
-Now we can map the trends.
-
-.. GENERATED FROM PYTHON SOURCE LINES 176-201
-
-.. code-block:: default
-
-
-    fig, axes = plt.subplots(
-        1, 2, figsize=(9, 7), subplot_kw=dict(projection=ccrs.Mercator())
-    )
-    crs = ccrs.PlateCarree()
-    titles = ["East component trend", "North component trend"]
-    components = [grid.east_component, grid.north_component]
-    for ax, component, title in zip(axes, components, titles):
-        ax.set_title(title)
-        maxabs = vd.maxabs(component)
-        tmp = component.plot.pcolormesh(
-            ax=ax,
-            vmin=-maxabs,
-            vmax=maxabs,
-            cmap="bwr",
-            transform=crs,
-            add_colorbar=False,
-            add_labels=False,
-        )
-        cb = plt.colorbar(tmp, ax=ax, orientation="horizontal", pad=0.05)
-        cb.set_label("meters/year")
-        vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
-        ax.coastlines(color="white")
-    plt.show()
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_vectors_004.png
-   :alt: East component trend, North component trend
-   :srcset: /tutorials/images/sphx_glr_vectors_004.png
-   :class: sphx-glr-single-img
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
-      vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
-    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
-      vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 202-212
-
-Gridding
---------
-
-You can use :class:`verde.Vector` to create multi-component gridders out of
-:class:`verde.Spline` the same way as we did for trends. In this case, each
-component is treated separately.
-
-We can start by splitting the data into training and testing sets (see
-:ref:`model_selection`). Notice that :func:`verde.train_test_split` work for
-multicomponent data automatically.
-
-.. GENERATED FROM PYTHON SOURCE LINES 212-220
-
-.. code-block:: default
-
-
-    train, test = vd.train_test_split(
-        coordinates=proj_coords,
-        data=(data.velocity_east, data.velocity_north),
-        weights=(1 / data.std_east**2, 1 / data.std_north**2),
-        random_state=1,
-    )
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 221-228
-
-Now we can make a 2-component spline. Since :class:`verde.Vector` implements
-``fit``, ``predict``, and ``filter``, we can use it in a :class:`verde.Chain`
-to build a pipeline.
-
-We need to use a bit of damping so that the weights can be taken into
-account. Splines without damping provide a perfect fit to the data and ignore
-the weights as a consequence.
-
-.. GENERATED FROM PYTHON SOURCE LINES 228-238
-
-.. code-block:: default
-
-
-    chain = vd.Chain(
-        [
-            ("mean", vd.BlockMean(spacing=spacing * 111e3, uncertainty=True)),
-            ("trend", vd.Vector([vd.Trend(1), vd.Trend(1)])),
-            ("spline", vd.Vector([vd.Spline(damping=1e-10), vd.Spline(damping=1e-10)])),
-        ]
-    )
-    print(chain)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    Chain(steps=[('mean', BlockMean(spacing=22200.0, uncertainty=True)),
-                 ('trend', Vector(components=[Trend(degree=1), Trend(degree=1)])),
-                 ('spline',
-                  Vector(components=[Spline(damping=1e-10, mindist=0),
-                                     Spline(damping=1e-10, mindist=0)]))])
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 239-247
-
-.. warning::
-
-    Never generate the component gridders with ``[vd.Spline()]*2``. This will
-    result in each component being a represented by **the same Spline
-    object**, causing problems when trying to fit it to different components.
-
-Fitting the spline and gridding is exactly the same as what we've done
-before.
-
-.. GENERATED FROM PYTHON SOURCE LINES 248-262
-
-.. code-block:: default
-
-
-    chain.fit(*train)
-
-    # Score on the test data
-    print(chain.score(*test))
-
-    grid = chain.grid(
-        region=region,
-        spacing=spacing,
-        projection=projection,
-        dims=["latitude", "longitude"],
-    )
-    print(grid)
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:252: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-      print(chain.score(*test))
-    0.9926765607374941
-    <xarray.Dataset>
-    Dimensions:          (latitude: 49, longitude: 47)
-    Coordinates:
-      * longitude        (longitude) float64 235.7 235.9 236.1 ... 244.6 244.8 245.0
-      * latitude         (latitude) float64 32.29 32.49 32.69 ... 41.5 41.7 41.9
-    Data variables:
-        east_component   (latitude, longitude) float64 -0.0466 ... -0.0006105
-        north_component  (latitude, longitude) float64 0.08795 ... -0.0005965
-    Attributes:
-        metadata:  Generated by Chain(steps=[('mean', BlockMean(spacing=22200.0, ...
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 263-264
-
-Mask out the points too far from data and plot the gridded vectors.
-
-.. GENERATED FROM PYTHON SOURCE LINES 264-288
-
-.. code-block:: default
-
-
-    grid = vd.distance_mask(
-        (data.longitude, data.latitude),
-        maxdist=spacing * 2 * 111e3,
-        grid=grid,
-        projection=projection,
-    )
-
-    plt.figure(figsize=(6, 8))
-    ax = plt.axes(projection=ccrs.Mercator())
-    tmp = ax.quiver(
-        grid.longitude.values,
-        grid.latitude.values,
-        grid.east_component.values,
-        grid.north_component.values,
-        scale=0.3,
-        transform=crs,
-        width=0.002,
-    )
-    ax.quiverkey(tmp, 0.2, 0.15, 0.05, label="0.05 m/yr", coordinates="figure")
-    ax.set_title("Gridded velocities")
-    vd.datasets.setup_california_gps_map(ax)
-    plt.show()
-
-
-
-
-.. image-sg:: /tutorials/images/sphx_glr_vectors_005.png
-   :alt: Gridded velocities
-   :srcset: /tutorials/images/sphx_glr_vectors_005.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 289-296
-
-GPS/GNSS data
-+++++++++++++
-
-For some types of vector data, like GPS/GNSS displacements, the vector
-components are coupled through elasticity. In these cases, elastic Green's
-functions can be used to achieve better interpolation results. The
-:class:`verde.VectorSpline2D` implements these Green's functions.
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  1.403 seconds)
-
-
-.. _sphx_glr_download_tutorials_vectors.py:
-
-
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: vectors.py <vectors.py>`
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-     :download:`Download Jupyter notebook: vectors.ipynb <vectors.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/dev/_sources/tutorials/weights.rst.txt b/dev/_sources/tutorials/weights.rst
similarity index 71%
rename from dev/_sources/tutorials/weights.rst.txt
rename to dev/_sources/tutorials/weights.rst
index 8aeca5c15..bcd293577 100644
--- a/dev/_sources/tutorials/weights.rst.txt
+++ b/dev/_sources/tutorials/weights.rst
@@ -10,7 +10,7 @@
     .. note::
         :class: sphx-glr-download-link-note
 
-        Click :ref:`here <sphx_glr_download_tutorials_weights.py>`
+        :ref:`Go to the end <sphx_glr_download_tutorials_weights.py>`
         to download the full example code
 
 .. rst-class:: sphx-glr-example-title
@@ -28,7 +28,7 @@ uncertainties bias the interpolation or the data decimation.
 
 .. GENERATED FROM PYTHON SOURCE LINES 16-27
 
-.. code-block:: default
+.. code-block:: Python
 
     import cartopy.crs as ccrs
     import matplotlib.pyplot as plt
@@ -56,7 +56,7 @@ pandas.DataFrame:
 
 .. GENERATED FROM PYTHON SOURCE LINES 31-34
 
-.. code-block:: default
+.. code-block:: Python
 
     data = vd.datasets.fetch_california_gps()
     print(data.head())
@@ -67,8 +67,6 @@ pandas.DataFrame:
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
         latitude   longitude     height  ...  std_north  std_east   std_up
@@ -91,7 +89,7 @@ it later on.
 
 .. GENERATED FROM PYTHON SOURCE LINES 38-79
 
-.. code-block:: default
+.. code-block:: Python
 
 
 
@@ -164,7 +162,7 @@ Let's explore all of the possibilities.
 
 .. GENERATED FROM PYTHON SOURCE LINES 93-96
 
-.. code-block:: default
+.. code-block:: Python
 
     mean = vd.BlockMean(spacing=15 / 60)
     print(mean)
@@ -175,8 +173,6 @@ Let's explore all of the possibilities.
 
 .. rst-class:: sphx-glr-script-out
 
- Out:
-
  .. code-block:: none
 
     BlockMean(spacing=0.25)
@@ -210,7 +206,7 @@ variations end up having smaller weights, like the data points in the south.
 
 .. GENERATED FROM PYTHON SOURCE LINES 118-130
 
-.. code-block:: default
+.. code-block:: Python
 
     coordinates, velocity, weights = mean.filter(
         coordinates=(data.longitude, data.latitude), data=data.velocity_up
@@ -233,6 +229,17 @@ variations end up having smaller weights, like the data points in the south.
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:471: FutureWarning: The provided callable <function var at 0x7f7a63579300> is currently using SeriesGroupBy.var. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "var" instead.
+      blocked = table.groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+
 
 
 
@@ -264,7 +271,7 @@ weights.
 
 .. GENERATED FROM PYTHON SOURCE LINES 154-173
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # We'll use 1 over the squared data uncertainty as our input weights.
@@ -294,6 +301,17 @@ weights.
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+
 
 
 
@@ -328,7 +346,7 @@ uncertainties from the start.
 
 .. GENERATED FROM PYTHON SOURCE LINES 200-218
 
-.. code-block:: default
+.. code-block:: Python
 
 
     # Configure BlockMean to assume that the input weights are 1/uncertainty**2
@@ -357,6 +375,17 @@ uncertainties from the start.
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      "coordinate{}".format(i): coord.ravel()
+
 
 
 
@@ -381,7 +410,7 @@ spline gridder.
 
 .. GENERATED FROM PYTHON SOURCE LINES 236-243
 
-.. code-block:: default
+.. code-block:: Python
 
 
     projection = pyproj.Proj(proj="merc", lat_ts=data.latitude.mean())
@@ -408,7 +437,7 @@ the data locations for the point forces. Here, we'll apply a bit of damping.
 
 .. GENERATED FROM PYTHON SOURCE LINES 250-267
 
-.. code-block:: default
+.. code-block:: Python
 
     spline = vd.Chain(
         [
@@ -431,6 +460,15 @@ the data locations for the point forces. Here, we'll apply a bit of damping.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      weights = tuple(i.ravel() for i in weights)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+
 
 
 
@@ -440,7 +478,7 @@ Calculate an unweighted spline as well for comparison.
 
 .. GENERATED FROM PYTHON SOURCE LINES 269-286
 
-.. code-block:: default
+.. code-block:: Python
 
     spline_unweighted = vd.Chain(
         [
@@ -463,6 +501,17 @@ Calculate an unweighted spline as well for comparison.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+      columns = {"data{}".format(i): comp.ravel() for i, comp in enumerate(data)}
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      blocked = pd.DataFrame(columns).groupby("block").aggregate(reduction)
+    /usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable <function mean at 0x7f7a63579080> is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
+      grouped = table.groupby("block").aggregate(self.reduction)
+
 
 
 
@@ -472,7 +521,7 @@ Finally, plot the weighted and unweighted grids side by side.
 
 .. GENERATED FROM PYTHON SOURCE LINES 288-324
 
-.. code-block:: default
+.. code-block:: Python
 
     fig, axes = plt.subplots(
         1, 2, figsize=(9.5, 7), subplot_kw=dict(projection=ccrs.Mercator())
@@ -525,28 +574,22 @@ Finally, plot the weighted and unweighted grids side by side.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.758 seconds)
+   **Total running time of the script:** (0 minutes 2.482 seconds)
 
 
 .. _sphx_glr_download_tutorials_weights.py:
 
+.. only:: html
 
-.. only :: html
-
- .. container:: sphx-glr-footer
-    :class: sphx-glr-footer-example
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-python
-
-     :download:`Download Python source code: weights.py <weights.py>`
+  .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: weights.ipynb <weights.ipynb>`
 
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
+    .. container:: sphx-glr-download sphx-glr-download-python
 
-     :download:`Download Jupyter notebook: weights.ipynb <weights.ipynb>`
+      :download:`Download Python source code: weights.py <weights.py>`
 
 
 .. only:: html
diff --git a/dev/_sources/versions.rst.txt b/dev/_sources/versions.rst
similarity index 100%
rename from dev/_sources/versions.rst.txt
rename to dev/_sources/versions.rst
diff --git a/dev/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css b/dev/_sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
similarity index 56%
rename from dev/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css
rename to dev/_sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
index 704c42eeb..eb19f698a 100644
--- a/dev/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css
+++ b/dev/_sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
@@ -1 +1 @@
-.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}.sd-bg-secondary{background-color:var(--sd-color-secondary) !important}.sd-bg-text-secondary{color:var(--sd-color-secondary-text) !important}button.sd-bg-secondary:focus,button.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}a.sd-bg-secondary:focus,a.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}.sd-bg-success{background-color:var(--sd-color-success) !important}.sd-bg-text-success{color:var(--sd-color-success-text) !important}button.sd-bg-success:focus,button.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}a.sd-bg-success:focus,a.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}.sd-bg-info{background-color:var(--sd-color-info) !important}.sd-bg-text-info{color:var(--sd-color-info-text) !important}button.sd-bg-info:focus,button.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}a.sd-bg-info:focus,a.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}.sd-bg-warning{background-color:var(--sd-color-warning) !important}.sd-bg-text-warning{color:var(--sd-color-warning-text) !important}button.sd-bg-warning:focus,button.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}a.sd-bg-warning:focus,a.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}.sd-bg-danger{background-color:var(--sd-color-danger) !important}.sd-bg-text-danger{color:var(--sd-color-danger-text) 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0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #0071bc;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0060a0;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/dev/_static/basic.css b/dev/_static/basic.css
index d54be8067..e760386bd 100644
--- a/dev/_static/basic.css
+++ b/dev/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -222,7 +222,7 @@ table.modindextable td {
 /* -- general body styles --------------------------------------------------- */
 
 div.body {
-    min-width: 450px;
+    min-width: 360px;
     max-width: 800px;
 }
 
@@ -237,14 +237,8 @@ a.headerlink {
     visibility: hidden;
 }
 
-a.brackets:before,
-span.brackets > a:before{
-    content: "[";
-}
-
-a.brackets:after,
-span.brackets > a:after {
-    content: "]";
+a:visited {
+    color: #551A8B;
 }
 
 h1:hover > a.headerlink,
@@ -335,12 +329,16 @@ p.sidebar-title {
     font-weight: bold;
 }
 
+nav.contents,
+aside.topic,
 div.admonition, div.topic, blockquote {
     clear: left;
 }
 
 /* -- topics ---------------------------------------------------------------- */
 
+nav.contents,
+aside.topic,
 div.topic {
     border: 1px solid #ccc;
     padding: 7px;
@@ -379,6 +377,8 @@ div.body p.centered {
 
 div.sidebar > :last-child,
 aside.sidebar > :last-child,
+nav.contents > :last-child,
+aside.topic > :last-child,
 div.topic > :last-child,
 div.admonition > :last-child {
     margin-bottom: 0;
@@ -386,6 +386,8 @@ div.admonition > :last-child {
 
 div.sidebar::after,
 aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
 div.topic::after,
 div.admonition::after,
 blockquote::after {
@@ -428,10 +430,6 @@ table.docutils td, table.docutils th {
     border-bottom: 1px solid #aaa;
 }
 
-table.footnote td, table.footnote th {
-    border: 0 !important;
-}
-
 th {
     text-align: left;
     padding-right: 5px;
@@ -615,19 +613,26 @@ ul.simple p {
     margin-bottom: 0;
 }
 
-dl.footnote > dt,
-dl.citation > dt {
+aside.footnote > span,
+div.citation > span {
     float: left;
-    margin-right: 0.5em;
 }
-
-dl.footnote > dd,
-dl.citation > dd {
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
     margin-bottom: 0em;
 }
-
-dl.footnote > dd:after,
-dl.citation > dd:after {
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
     content: "";
     clear: both;
 }
@@ -644,10 +649,6 @@ dl.field-list > dt {
     padding-right: 5px;
 }
 
-dl.field-list > dt:after {
-    content: ":";
-}
-
 dl.field-list > dd {
     padding-left: 0.5em;
     margin-top: 0em;
@@ -673,6 +674,16 @@ dd {
     margin-left: 30px;
 }
 
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
 dl > dd:last-child,
 dl > dd:last-child > :last-child {
     margin-bottom: 0;
@@ -741,6 +752,14 @@ abbr, acronym {
     cursor: help;
 }
 
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
 /* -- code displays --------------------------------------------------------- */
 
 pre {
diff --git a/dev/_static/copybutton.css b/dev/_static/copybutton.css
index 40eafe5fc..f1916ec7d 100644
--- a/dev/_static/copybutton.css
+++ b/dev/_static/copybutton.css
@@ -35,7 +35,8 @@ div.highlight  {
     position: relative;
 }
 
-.highlight:hover button.copybtn {
+/* Show the copybutton */
+.highlight:hover button.copybtn, button.copybtn.success {
 	opacity: 1;
 }
 
diff --git a/dev/_static/copybutton.js b/dev/_static/copybutton.js
index 40ac33108..2ea7ff3e2 100644
--- a/dev/_static/copybutton.js
+++ b/dev/_static/copybutton.js
@@ -20,7 +20,7 @@ const messages = {
   },
   'fr' : {
     'copy': 'Copier',
-    'copy_to_clipboard': 'Copié dans le presse-papier',
+    'copy_to_clipboard': 'Copier dans le presse-papier',
     'copy_success': 'Copié !',
     'copy_failure': 'Échec de la copie',
   },
@@ -102,18 +102,25 @@ const clearSelection = () => {
   }
 }
 
-// Changes tooltip text for two seconds, then changes it back
+// Changes tooltip text for a moment, then changes it back
+// We want the timeout of our `success` class to be a bit shorter than the
+// tooltip and icon change, so that we can hide the icon before changing back.
+var timeoutIcon = 2000;
+var timeoutSuccessClass = 1500;
+
 const temporarilyChangeTooltip = (el, oldText, newText) => {
   el.setAttribute('data-tooltip', newText)
   el.classList.add('success')
-  setTimeout(() => el.setAttribute('data-tooltip', oldText), 2000)
-  setTimeout(() => el.classList.remove('success'), 2000)
+  // Remove success a little bit sooner than we change the tooltip
+  // So that we can use CSS to hide the copybutton first
+  setTimeout(() => el.classList.remove('success'), timeoutSuccessClass)
+  setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon)
 }
 
 // Changes the copy button icon for two seconds, then changes it back
 const temporarilyChangeIcon = (el) => {
   el.innerHTML = iconCheck;
-  setTimeout(() => {el.innerHTML = iconCopy}, 2000)
+  setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon)
 }
 
 const addCopyButtonToCodeCells = () => {
@@ -125,7 +132,8 @@ const addCopyButtonToCodeCells = () => {
   }
 
   // Add copybuttons to all of our code cells
-  const codeCells = document.querySelectorAll('div.highlight pre')
+  const COPYBUTTON_SELECTOR = 'div.highlight pre';
+  const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR)
   codeCells.forEach((codeCell, index) => {
     const id = codeCellId(index)
     codeCell.setAttribute('id', id)
@@ -141,10 +149,25 @@ function escapeRegExp(string) {
     return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
 }
 
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
 // Callback when a copy button is clicked. Will be passed the node that was clicked
 // should then grab the text and replace pieces of text that shouldn't be used in output
 function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
-
     var regexp;
     var match;
 
@@ -199,7 +222,12 @@ function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onl
 
 var copyTargetText = (trigger) => {
   var target = document.querySelector(trigger.attributes['data-clipboard-target'].value);
-  return formatCopyText(target.innerText, '', false, true, true, true, '', '')
+
+  // get filtered text
+  let exclude = '.linenos';
+
+  let text = filterText(target, exclude);
+  return formatCopyText(text, '', false, true, true, true, '', '')
 }
 
   // Initialize with a callback so we can modify the text before copy
diff --git a/dev/_static/copybutton_funcs.js b/dev/_static/copybutton_funcs.js
index b9168c556..dbe1aaad7 100644
--- a/dev/_static/copybutton_funcs.js
+++ b/dev/_static/copybutton_funcs.js
@@ -2,10 +2,25 @@ function escapeRegExp(string) {
     return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
 }
 
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+export function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
 // Callback when a copy button is clicked. Will be passed the node that was clicked
 // should then grab the text and replace pieces of text that shouldn't be used in output
 export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
-
     var regexp;
     var match;
 
diff --git a/dev/_sphinx_design_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css b/dev/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
similarity index 56%
rename from dev/_sphinx_design_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css
rename to dev/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
index 704c42eeb..eb19f698a 100644
--- a/dev/_sphinx_design_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css
+++ b/dev/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css
@@ -1 +1 @@
-.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}.sd-bg-secondary{background-color:var(--sd-color-secondary) !important}.sd-bg-text-secondary{color:var(--sd-color-secondary-text) !important}button.sd-bg-secondary:focus,button.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}a.sd-bg-secondary:focus,a.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}.sd-bg-success{background-color:var(--sd-color-success) !important}.sd-bg-text-success{color:var(--sd-color-success-text) !important}button.sd-bg-success:focus,button.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}a.sd-bg-success:focus,a.sd-bg-success:hover{background-color:var(--sd-color-success-highlight) !important}.sd-bg-info{background-color:var(--sd-color-info) !important}.sd-bg-text-info{color:var(--sd-color-info-text) !important}button.sd-bg-info:focus,button.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}a.sd-bg-info:focus,a.sd-bg-info:hover{background-color:var(--sd-color-info-highlight) !important}.sd-bg-warning{background-color:var(--sd-color-warning) !important}.sd-bg-text-warning{color:var(--sd-color-warning-text) !important}button.sd-bg-warning:focus,button.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}a.sd-bg-warning:focus,a.sd-bg-warning:hover{background-color:var(--sd-color-warning-highlight) !important}.sd-bg-danger{background-color:var(--sd-color-danger) !important}.sd-bg-text-danger{color:var(--sd-color-danger-text) !important}button.sd-bg-danger:focus,button.sd-bg-danger:hover{background-color:var(--sd-color-danger-highlight) !important}a.sd-bg-danger:focus,a.sd-bg-danger:hover{background-color:var(--sd-color-danger-highlight) !important}.sd-bg-light{background-color:var(--sd-color-light) !important}.sd-bg-text-light{color:var(--sd-color-light-text) !important}button.sd-bg-light:focus,button.sd-bg-light:hover{background-color:var(--sd-color-light-highlight) !important}a.sd-bg-light:focus,a.sd-bg-light:hover{background-color:var(--sd-color-light-highlight) !important}.sd-bg-muted{background-color:var(--sd-color-muted) !important}.sd-bg-text-muted{color:var(--sd-color-muted-text) !important}button.sd-bg-muted:focus,button.sd-bg-muted:hover{background-color:var(--sd-color-muted-highlight) !important}a.sd-bg-muted:focus,a.sd-bg-muted:hover{background-color:var(--sd-color-muted-highlight) !important}.sd-bg-dark{background-color:var(--sd-color-dark) !important}.sd-bg-text-dark{color:var(--sd-color-dark-text) !important}button.sd-bg-dark:focus,button.sd-bg-dark:hover{background-color:var(--sd-color-dark-highlight) !important}a.sd-bg-dark:focus,a.sd-bg-dark:hover{background-color:var(--sd-color-dark-highlight) !important}.sd-bg-black{background-color:var(--sd-color-black) !important}.sd-bg-text-black{color:var(--sd-color-black-text) !important}button.sd-bg-black:focus,button.sd-bg-black:hover{background-color:var(--sd-color-black-highlight) !important}a.sd-bg-black:focus,a.sd-bg-black:hover{background-color:var(--sd-color-black-highlight) !important}.sd-bg-white{background-color:var(--sd-color-white) !important}.sd-bg-text-white{color:var(--sd-color-white-text) !important}button.sd-bg-white:focus,button.sd-bg-white:hover{background-color:var(--sd-color-white-highlight) !important}a.sd-bg-white:focus,a.sd-bg-white:hover{background-color:var(--sd-color-white-highlight) !important}.sd-text-primary,.sd-text-primary>p{color:var(--sd-color-primary) !important}a.sd-text-primary:focus,a.sd-text-primary:hover{color:var(--sd-color-primary-highlight) !important}.sd-text-secondary,.sd-text-secondary>p{color:var(--sd-color-secondary) !important}a.sd-text-secondary:focus,a.sd-text-secondary:hover{color:var(--sd-color-secondary-highlight) !important}.sd-text-success,.sd-text-success>p{color:var(--sd-color-success) !important}a.sd-text-success:focus,a.sd-text-success:hover{color:var(--sd-color-success-highlight) !important}.sd-text-info,.sd-text-info>p{color:var(--sd-color-info) !important}a.sd-text-info:focus,a.sd-text-info:hover{color:var(--sd-color-info-highlight) !important}.sd-text-warning,.sd-text-warning>p{color:var(--sd-color-warning) !important}a.sd-text-warning:focus,a.sd-text-warning:hover{color:var(--sd-color-warning-highlight) !important}.sd-text-danger,.sd-text-danger>p{color:var(--sd-color-danger) !important}a.sd-text-danger:focus,a.sd-text-danger:hover{color:var(--sd-color-danger-highlight) !important}.sd-text-light,.sd-text-light>p{color:var(--sd-color-light) !important}a.sd-text-light:focus,a.sd-text-light:hover{color:var(--sd-color-light-highlight) !important}.sd-text-muted,.sd-text-muted>p{color:var(--sd-color-muted) !important}a.sd-text-muted:focus,a.sd-text-muted:hover{color:var(--sd-color-muted-highlight) !important}.sd-text-dark,.sd-text-dark>p{color:var(--sd-color-dark) !important}a.sd-text-dark:focus,a.sd-text-dark:hover{color:var(--sd-color-dark-highlight) !important}.sd-text-black,.sd-text-black>p{color:var(--sd-color-black) !important}a.sd-text-black:focus,a.sd-text-black:hover{color:var(--sd-color-black-highlight) !important}.sd-text-white,.sd-text-white>p{color:var(--sd-color-white) !important}a.sd-text-white:focus,a.sd-text-white:hover{color:var(--sd-color-white-highlight) !important}.sd-outline-primary{border-color:var(--sd-color-primary) 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diff --git a/dev/_static/doctools.js b/dev/_static/doctools.js
index e1bfd708b..d06a71d75 100644
--- a/dev/_static/doctools.js
+++ b/dev/_static/doctools.js
@@ -2,357 +2,155 @@
  * doctools.js
  * ~~~~~~~~~~~
  *
- * Sphinx JavaScript utilities for all documentation.
+ * Base JavaScript utilities for all Sphinx HTML documentation.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
-
-/**
- * select a different prefix for underscore
- */
-$u = _.noConflict();
-
-/**
- * make the code below compatible with browsers without
- * an installed firebug like debugger
-if (!window.console || !console.firebug) {
-  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
-    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
-    "profile", "profileEnd"];
-  window.console = {};
-  for (var i = 0; i < names.length; ++i)
-    window.console[names[i]] = function() {};
-}
- */
-
-/**
- * small helper function to urldecode strings
- *
- * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
- */
-jQuery.urldecode = function(x) {
-  if (!x) {
-    return x
-  }
-  return decodeURIComponent(x.replace(/\+/g, ' '));
-};
-
-/**
- * small helper function to urlencode strings
- */
-jQuery.urlencode = encodeURIComponent;
-
-/**
- * This function returns the parsed url parameters of the
- * current request. Multiple values per key are supported,
- * it will always return arrays of strings for the value parts.
- */
-jQuery.getQueryParameters = function(s) {
-  if (typeof s === 'undefined')
-    s = document.location.search;
-  var parts = s.substr(s.indexOf('?') + 1).split('&');
-  var result = {};
-  for (var i = 0; i < parts.length; i++) {
-    var tmp = parts[i].split('=', 2);
-    var key = jQuery.urldecode(tmp[0]);
-    var value = jQuery.urldecode(tmp[1]);
-    if (key in result)
-      result[key].push(value);
-    else
-      result[key] = [value];
-  }
-  return result;
-};
-
-/**
- * highlight a given string on a jquery object by wrapping it in
- * span elements with the given class name.
- */
-jQuery.fn.highlightText = function(text, className) {
-  function highlight(node, addItems) {
-    if (node.nodeType === 3) {
-      var val = node.nodeValue;
-      var pos = val.toLowerCase().indexOf(text);
-      if (pos >= 0 &&
-          !jQuery(node.parentNode).hasClass(className) &&
-          !jQuery(node.parentNode).hasClass("nohighlight")) {
-        var span;
-        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
-        if (isInSVG) {
-          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
-        } else {
-          span = document.createElement("span");
-          span.className = className;
-        }
-        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
-        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
-          document.createTextNode(val.substr(pos + text.length)),
-          node.nextSibling));
-        node.nodeValue = val.substr(0, pos);
-        if (isInSVG) {
-          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
-          var bbox = node.parentElement.getBBox();
-          rect.x.baseVal.value = bbox.x;
-          rect.y.baseVal.value = bbox.y;
-          rect.width.baseVal.value = bbox.width;
-          rect.height.baseVal.value = bbox.height;
-          rect.setAttribute('class', className);
-          addItems.push({
-              "parent": node.parentNode,
-              "target": rect});
-        }
-      }
-    }
-    else if (!jQuery(node).is("button, select, textarea")) {
-      jQuery.each(node.childNodes, function() {
-        highlight(this, addItems);
-      });
-    }
-  }
-  var addItems = [];
-  var result = this.each(function() {
-    highlight(this, addItems);
-  });
-  for (var i = 0; i < addItems.length; ++i) {
-    jQuery(addItems[i].parent).before(addItems[i].target);
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
   }
-  return result;
 };
 
-/*
- * backward compatibility for jQuery.browser
- * This will be supported until firefox bug is fixed.
- */
-if (!jQuery.browser) {
-  jQuery.uaMatch = function(ua) {
-    ua = ua.toLowerCase();
-
-    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
-      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
-      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
-      /(msie) ([\w.]+)/.exec(ua) ||
-      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
-      [];
-
-    return {
-      browser: match[ 1 ] || "",
-      version: match[ 2 ] || "0"
-    };
-  };
-  jQuery.browser = {};
-  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
-}
-
 /**
  * Small JavaScript module for the documentation.
  */
-var Documentation = {
-
-  init : function() {
-    this.fixFirefoxAnchorBug();
-    this.highlightSearchWords();
-    this.initIndexTable();
-    this.initOnKeyListeners();
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
   },
 
   /**
    * i18n support
    */
-  TRANSLATIONS : {},
-  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
-  LOCALE : 'unknown',
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
 
   // gettext and ngettext don't access this so that the functions
   // can safely bound to a different name (_ = Documentation.gettext)
-  gettext : function(string) {
-    var translated = Documentation.TRANSLATIONS[string];
-    if (typeof translated === 'undefined')
-      return string;
-    return (typeof translated === 'string') ? translated : translated[0];
-  },
-
-  ngettext : function(singular, plural, n) {
-    var translated = Documentation.TRANSLATIONS[singular];
-    if (typeof translated === 'undefined')
-      return (n == 1) ? singular : plural;
-    return translated[Documentation.PLURALEXPR(n)];
-  },
-
-  addTranslations : function(catalog) {
-    for (var key in catalog.messages)
-      this.TRANSLATIONS[key] = catalog.messages[key];
-    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
-    this.LOCALE = catalog.locale;
-  },
-
-  /**
-   * add context elements like header anchor links
-   */
-  addContextElements : function() {
-    $('div[id] > :header:first').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this headline')).
-      appendTo(this);
-    });
-    $('dt[id]').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this definition')).
-      appendTo(this);
-    });
-  },
-
-  /**
-   * workaround a firefox stupidity
-   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
-   */
-  fixFirefoxAnchorBug : function() {
-    if (document.location.hash && $.browser.mozilla)
-      window.setTimeout(function() {
-        document.location.href += '';
-      }, 10);
-  },
-
-  /**
-   * highlight the search words provided in the url in the text
-   */
-  highlightSearchWords : function() {
-    var params = $.getQueryParameters();
-    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
-    if (terms.length) {
-      var body = $('div.body');
-      if (!body.length) {
-        body = $('body');
-      }
-      window.setTimeout(function() {
-        $.each(terms, function() {
-          body.highlightText(this.toLowerCase(), 'highlighted');
-        });
-      }, 10);
-      $('<p class="highlight-link"><a href="javascript:Documentation.' +
-        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
-          .appendTo($('#searchbox'));
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
     }
   },
 
-  /**
-   * init the domain index toggle buttons
-   */
-  initIndexTable : function() {
-    var togglers = $('img.toggler').click(function() {
-      var src = $(this).attr('src');
-      var idnum = $(this).attr('id').substr(7);
-      $('tr.cg-' + idnum).toggle();
-      if (src.substr(-9) === 'minus.png')
-        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
-      else
-        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
-    }).css('display', '');
-    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
-        togglers.click();
-    }
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
   },
 
-  /**
-   * helper function to hide the search marks again
-   */
-  hideSearchWords : function() {
-    $('#searchbox .highlight-link').fadeOut(300);
-    $('span.highlighted').removeClass('highlighted');
-    var url = new URL(window.location);
-    url.searchParams.delete('highlight');
-    window.history.replaceState({}, '', url);
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
   },
 
-   /**
+  /**
    * helper function to focus on search bar
    */
-  focusSearchBar : function() {
-    $('input[name=q]').first().focus();
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
   },
 
   /**
-   * make the url absolute
+   * Initialise the domain index toggle buttons
    */
-  makeURL : function(relativeURL) {
-    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
-  },
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
 
-  /**
-   * get the current relative url
-   */
-  getCurrentURL : function() {
-    var path = document.location.pathname;
-    var parts = path.split(/\//);
-    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
-      if (this === '..')
-        parts.pop();
-    });
-    var url = parts.join('/');
-    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
   },
 
-  initOnKeyListeners: function() {
+  initOnKeyListeners: () => {
     // only install a listener if it is really needed
-    if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
-        !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-        return;
-
-    $(document).keydown(function(event) {
-      var activeElementType = document.activeElement.tagName;
-      // don't navigate when in search box, textarea, dropdown or button
-      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
-          && activeElementType !== 'BUTTON') {
-        if (event.altKey || event.ctrlKey || event.metaKey)
-          return;
-
-          if (!event.shiftKey) {
-            switch (event.key) {
-              case 'ArrowLeft':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var prevHref = $('link[rel="prev"]').prop('href');
-                if (prevHref) {
-                  window.location.href = prevHref;
-                  return false;
-                }
-                break;
-              case 'ArrowRight':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var nextHref = $('link[rel="next"]').prop('href');
-                if (nextHref) {
-                  window.location.href = nextHref;
-                  return false;
-                }
-                break;
-              case 'Escape':
-                if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-                  break;
-                Documentation.hideSearchWords();
-                return false;
-          }
-        }
-
-        // some keyboard layouts may need Shift to get /
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
         switch (event.key) {
-          case '/':
-            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-              break;
-            Documentation.focusSearchBar();
-            return false;
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
         }
       }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
     });
-  }
+  },
 };
 
 // quick alias for translations
-_ = Documentation.gettext;
+const _ = Documentation.gettext;
 
-$(document).ready(function() {
-  Documentation.init();
-});
+_ready(Documentation.init);
diff --git a/dev/_static/documentation_options.js b/dev/_static/documentation_options.js
index 7e7102c10..dab586c0d 100644
--- a/dev/_static/documentation_options.js
+++ b/dev/_static/documentation_options.js
@@ -1,14 +1,13 @@
-var DOCUMENTATION_OPTIONS = {
-    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+const DOCUMENTATION_OPTIONS = {
     VERSION: '',
-    LANGUAGE: 'None',
+    LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
     FILE_SUFFIX: '.html',
     LINK_SUFFIX: '.html',
     HAS_SOURCE: true,
-    SOURCELINK_SUFFIX: '.txt',
-    NAVIGATION_WITH_KEYS: true,
+    SOURCELINK_SUFFIX: '',
+    NAVIGATION_WITH_KEYS: false,
     SHOW_SEARCH_SUMMARY: true,
     ENABLE_SEARCH_SHORTCUTS: true,
 };
\ No newline at end of file
diff --git a/dev/_static/jquery-3.5.1.js b/dev/_static/jquery-3.5.1.js
deleted file mode 100644
index 50937333b..000000000
--- a/dev/_static/jquery-3.5.1.js
+++ /dev/null
@@ -1,10872 +0,0 @@
-/*!
- * jQuery JavaScript Library v3.5.1
- * https://jquery.com/
- *
- * Includes Sizzle.js
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://jquery.org/license
- *
- * Date: 2020-05-04T22:49Z
- */
-( function( global, factory ) {
-
-	"use strict";
-
-	if ( typeof module === "object" && typeof module.exports === "object" ) {
-
-		// For CommonJS and CommonJS-like environments where a proper `window`
-		// is present, execute the factory and get jQuery.
-		// For environments that do not have a `window` with a `document`
-		// (such as Node.js), expose a factory as module.exports.
-		// This accentuates the need for the creation of a real `window`.
-		// e.g. var jQuery = require("jquery")(window);
-		// See ticket #14549 for more info.
-		module.exports = global.document ?
-			factory( global, true ) :
-			function( w ) {
-				if ( !w.document ) {
-					throw new Error( "jQuery requires a window with a document" );
-				}
-				return factory( w );
-			};
-	} else {
-		factory( global );
-	}
-
-// Pass this if window is not defined yet
-} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
-
-// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
-// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
-// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
-// enough that all such attempts are guarded in a try block.
-"use strict";
-
-var arr = [];
-
-var getProto = Object.getPrototypeOf;
-
-var slice = arr.slice;
-
-var flat = arr.flat ? function( array ) {
-	return arr.flat.call( array );
-} : function( array ) {
-	return arr.concat.apply( [], array );
-};
-
-
-var push = arr.push;
-
-var indexOf = arr.indexOf;
-
-var class2type = {};
-
-var toString = class2type.toString;
-
-var hasOwn = class2type.hasOwnProperty;
-
-var fnToString = hasOwn.toString;
-
-var ObjectFunctionString = fnToString.call( Object );
-
-var support = {};
-
-var isFunction = function isFunction( obj ) {
-
-      // Support: Chrome <=57, Firefox <=52
-      // In some browsers, typeof returns "function" for HTML <object> elements
-      // (i.e., `typeof document.createElement( "object" ) === "function"`).
-      // We don't want to classify *any* DOM node as a function.
-      return typeof obj === "function" && typeof obj.nodeType !== "number";
-  };
-
-
-var isWindow = function isWindow( obj ) {
-		return obj != null && obj === obj.window;
-	};
-
-
-var document = window.document;
-
-
-
-	var preservedScriptAttributes = {
-		type: true,
-		src: true,
-		nonce: true,
-		noModule: true
-	};
-
-	function DOMEval( code, node, doc ) {
-		doc = doc || document;
-
-		var i, val,
-			script = doc.createElement( "script" );
-
-		script.text = code;
-		if ( node ) {
-			for ( i in preservedScriptAttributes ) {
-
-				// Support: Firefox 64+, Edge 18+
-				// Some browsers don't support the "nonce" property on scripts.
-				// On the other hand, just using `getAttribute` is not enough as
-				// the `nonce` attribute is reset to an empty string whenever it
-				// becomes browsing-context connected.
-				// See https://github.com/whatwg/html/issues/2369
-				// See https://html.spec.whatwg.org/#nonce-attributes
-				// The `node.getAttribute` check was added for the sake of
-				// `jQuery.globalEval` so that it can fake a nonce-containing node
-				// via an object.
-				val = node[ i ] || node.getAttribute && node.getAttribute( i );
-				if ( val ) {
-					script.setAttribute( i, val );
-				}
-			}
-		}
-		doc.head.appendChild( script ).parentNode.removeChild( script );
-	}
-
-
-function toType( obj ) {
-	if ( obj == null ) {
-		return obj + "";
-	}
-
-	// Support: Android <=2.3 only (functionish RegExp)
-	return typeof obj === "object" || typeof obj === "function" ?
-		class2type[ toString.call( obj ) ] || "object" :
-		typeof obj;
-}
-/* global Symbol */
-// Defining this global in .eslintrc.json would create a danger of using the global
-// unguarded in another place, it seems safer to define global only for this module
-
-
-
-var
-	version = "3.5.1",
-
-	// Define a local copy of jQuery
-	jQuery = function( selector, context ) {
-
-		// The jQuery object is actually just the init constructor 'enhanced'
-		// Need init if jQuery is called (just allow error to be thrown if not included)
-		return new jQuery.fn.init( selector, context );
-	};
-
-jQuery.fn = jQuery.prototype = {
-
-	// The current version of jQuery being used
-	jquery: version,
-
-	constructor: jQuery,
-
-	// The default length of a jQuery object is 0
-	length: 0,
-
-	toArray: function() {
-		return slice.call( this );
-	},
-
-	// Get the Nth element in the matched element set OR
-	// Get the whole matched element set as a clean array
-	get: function( num ) {
-
-		// Return all the elements in a clean array
-		if ( num == null ) {
-			return slice.call( this );
-		}
-
-		// Return just the one element from the set
-		return num < 0 ? this[ num + this.length ] : this[ num ];
-	},
-
-	// Take an array of elements and push it onto the stack
-	// (returning the new matched element set)
-	pushStack: function( elems ) {
-
-		// Build a new jQuery matched element set
-		var ret = jQuery.merge( this.constructor(), elems );
-
-		// Add the old object onto the stack (as a reference)
-		ret.prevObject = this;
-
-		// Return the newly-formed element set
-		return ret;
-	},
-
-	// Execute a callback for every element in the matched set.
-	each: function( callback ) {
-		return jQuery.each( this, callback );
-	},
-
-	map: function( callback ) {
-		return this.pushStack( jQuery.map( this, function( elem, i ) {
-			return callback.call( elem, i, elem );
-		} ) );
-	},
-
-	slice: function() {
-		return this.pushStack( slice.apply( this, arguments ) );
-	},
-
-	first: function() {
-		return this.eq( 0 );
-	},
-
-	last: function() {
-		return this.eq( -1 );
-	},
-
-	even: function() {
-		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
-			return ( i + 1 ) % 2;
-		} ) );
-	},
-
-	odd: function() {
-		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
-			return i % 2;
-		} ) );
-	},
-
-	eq: function( i ) {
-		var len = this.length,
-			j = +i + ( i < 0 ? len : 0 );
-		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
-	},
-
-	end: function() {
-		return this.prevObject || this.constructor();
-	},
-
-	// For internal use only.
-	// Behaves like an Array's method, not like a jQuery method.
-	push: push,
-	sort: arr.sort,
-	splice: arr.splice
-};
-
-jQuery.extend = jQuery.fn.extend = function() {
-	var options, name, src, copy, copyIsArray, clone,
-		target = arguments[ 0 ] || {},
-		i = 1,
-		length = arguments.length,
-		deep = false;
-
-	// Handle a deep copy situation
-	if ( typeof target === "boolean" ) {
-		deep = target;
-
-		// Skip the boolean and the target
-		target = arguments[ i ] || {};
-		i++;
-	}
-
-	// Handle case when target is a string or something (possible in deep copy)
-	if ( typeof target !== "object" && !isFunction( target ) ) {
-		target = {};
-	}
-
-	// Extend jQuery itself if only one argument is passed
-	if ( i === length ) {
-		target = this;
-		i--;
-	}
-
-	for ( ; i < length; i++ ) {
-
-		// Only deal with non-null/undefined values
-		if ( ( options = arguments[ i ] ) != null ) {
-
-			// Extend the base object
-			for ( name in options ) {
-				copy = options[ name ];
-
-				// Prevent Object.prototype pollution
-				// Prevent never-ending loop
-				if ( name === "__proto__" || target === copy ) {
-					continue;
-				}
-
-				// Recurse if we're merging plain objects or arrays
-				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
-					( copyIsArray = Array.isArray( copy ) ) ) ) {
-					src = target[ name ];
-
-					// Ensure proper type for the source value
-					if ( copyIsArray && !Array.isArray( src ) ) {
-						clone = [];
-					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
-						clone = {};
-					} else {
-						clone = src;
-					}
-					copyIsArray = false;
-
-					// Never move original objects, clone them
-					target[ name ] = jQuery.extend( deep, clone, copy );
-
-				// Don't bring in undefined values
-				} else if ( copy !== undefined ) {
-					target[ name ] = copy;
-				}
-			}
-		}
-	}
-
-	// Return the modified object
-	return target;
-};
-
-jQuery.extend( {
-
-	// Unique for each copy of jQuery on the page
-	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
-
-	// Assume jQuery is ready without the ready module
-	isReady: true,
-
-	error: function( msg ) {
-		throw new Error( msg );
-	},
-
-	noop: function() {},
-
-	isPlainObject: function( obj ) {
-		var proto, Ctor;
-
-		// Detect obvious negatives
-		// Use toString instead of jQuery.type to catch host objects
-		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
-			return false;
-		}
-
-		proto = getProto( obj );
-
-		// Objects with no prototype (e.g., `Object.create( null )`) are plain
-		if ( !proto ) {
-			return true;
-		}
-
-		// Objects with prototype are plain iff they were constructed by a global Object function
-		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
-		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
-	},
-
-	isEmptyObject: function( obj ) {
-		var name;
-
-		for ( name in obj ) {
-			return false;
-		}
-		return true;
-	},
-
-	// Evaluates a script in a provided context; falls back to the global one
-	// if not specified.
-	globalEval: function( code, options, doc ) {
-		DOMEval( code, { nonce: options && options.nonce }, doc );
-	},
-
-	each: function( obj, callback ) {
-		var length, i = 0;
-
-		if ( isArrayLike( obj ) ) {
-			length = obj.length;
-			for ( ; i < length; i++ ) {
-				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
-					break;
-				}
-			}
-		} else {
-			for ( i in obj ) {
-				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
-					break;
-				}
-			}
-		}
-
-		return obj;
-	},
-
-	// results is for internal usage only
-	makeArray: function( arr, results ) {
-		var ret = results || [];
-
-		if ( arr != null ) {
-			if ( isArrayLike( Object( arr ) ) ) {
-				jQuery.merge( ret,
-					typeof arr === "string" ?
-					[ arr ] : arr
-				);
-			} else {
-				push.call( ret, arr );
-			}
-		}
-
-		return ret;
-	},
-
-	inArray: function( elem, arr, i ) {
-		return arr == null ? -1 : indexOf.call( arr, elem, i );
-	},
-
-	// Support: Android <=4.0 only, PhantomJS 1 only
-	// push.apply(_, arraylike) throws on ancient WebKit
-	merge: function( first, second ) {
-		var len = +second.length,
-			j = 0,
-			i = first.length;
-
-		for ( ; j < len; j++ ) {
-			first[ i++ ] = second[ j ];
-		}
-
-		first.length = i;
-
-		return first;
-	},
-
-	grep: function( elems, callback, invert ) {
-		var callbackInverse,
-			matches = [],
-			i = 0,
-			length = elems.length,
-			callbackExpect = !invert;
-
-		// Go through the array, only saving the items
-		// that pass the validator function
-		for ( ; i < length; i++ ) {
-			callbackInverse = !callback( elems[ i ], i );
-			if ( callbackInverse !== callbackExpect ) {
-				matches.push( elems[ i ] );
-			}
-		}
-
-		return matches;
-	},
-
-	// arg is for internal usage only
-	map: function( elems, callback, arg ) {
-		var length, value,
-			i = 0,
-			ret = [];
-
-		// Go through the array, translating each of the items to their new values
-		if ( isArrayLike( elems ) ) {
-			length = elems.length;
-			for ( ; i < length; i++ ) {
-				value = callback( elems[ i ], i, arg );
-
-				if ( value != null ) {
-					ret.push( value );
-				}
-			}
-
-		// Go through every key on the object,
-		} else {
-			for ( i in elems ) {
-				value = callback( elems[ i ], i, arg );
-
-				if ( value != null ) {
-					ret.push( value );
-				}
-			}
-		}
-
-		// Flatten any nested arrays
-		return flat( ret );
-	},
-
-	// A global GUID counter for objects
-	guid: 1,
-
-	// jQuery.support is not used in Core but other projects attach their
-	// properties to it so it needs to exist.
-	support: support
-} );
-
-if ( typeof Symbol === "function" ) {
-	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
-}
-
-// Populate the class2type map
-jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
-function( _i, name ) {
-	class2type[ "[object " + name + "]" ] = name.toLowerCase();
-} );
-
-function isArrayLike( obj ) {
-
-	// Support: real iOS 8.2 only (not reproducible in simulator)
-	// `in` check used to prevent JIT error (gh-2145)
-	// hasOwn isn't used here due to false negatives
-	// regarding Nodelist length in IE
-	var length = !!obj && "length" in obj && obj.length,
-		type = toType( obj );
-
-	if ( isFunction( obj ) || isWindow( obj ) ) {
-		return false;
-	}
-
-	return type === "array" || length === 0 ||
-		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
-}
-var Sizzle =
-/*!
- * Sizzle CSS Selector Engine v2.3.5
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://js.foundation/
- *
- * Date: 2020-03-14
- */
-( function( window ) {
-var i,
-	support,
-	Expr,
-	getText,
-	isXML,
-	tokenize,
-	compile,
-	select,
-	outermostContext,
-	sortInput,
-	hasDuplicate,
-
-	// Local document vars
-	setDocument,
-	document,
-	docElem,
-	documentIsHTML,
-	rbuggyQSA,
-	rbuggyMatches,
-	matches,
-	contains,
-
-	// Instance-specific data
-	expando = "sizzle" + 1 * new Date(),
-	preferredDoc = window.document,
-	dirruns = 0,
-	done = 0,
-	classCache = createCache(),
-	tokenCache = createCache(),
-	compilerCache = createCache(),
-	nonnativeSelectorCache = createCache(),
-	sortOrder = function( a, b ) {
-		if ( a === b ) {
-			hasDuplicate = true;
-		}
-		return 0;
-	},
-
-	// Instance methods
-	hasOwn = ( {} ).hasOwnProperty,
-	arr = [],
-	pop = arr.pop,
-	pushNative = arr.push,
-	push = arr.push,
-	slice = arr.slice,
-
-	// Use a stripped-down indexOf as it's faster than native
-	// https://jsperf.com/thor-indexof-vs-for/5
-	indexOf = function( list, elem ) {
-		var i = 0,
-			len = list.length;
-		for ( ; i < len; i++ ) {
-			if ( list[ i ] === elem ) {
-				return i;
-			}
-		}
-		return -1;
-	},
-
-	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
-		"ismap|loop|multiple|open|readonly|required|scoped",
-
-	// Regular expressions
-
-	// http://www.w3.org/TR/css3-selectors/#whitespace
-	whitespace = "[\\x20\\t\\r\\n\\f]",
-
-	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
-	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
-		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
-
-	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
-	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
-
-		// Operator (capture 2)
-		"*([*^$|!~]?=)" + whitespace +
-
-		// "Attribute values must be CSS identifiers [capture 5]
-		// or strings [capture 3 or capture 4]"
-		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
-		whitespace + "*\\]",
-
-	pseudos = ":(" + identifier + ")(?:\\((" +
-
-		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
-		// 1. quoted (capture 3; capture 4 or capture 5)
-		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
-
-		// 2. simple (capture 6)
-		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
-
-		// 3. anything else (capture 2)
-		".*" +
-		")\\)|)",
-
-	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
-	rwhitespace = new RegExp( whitespace + "+", "g" ),
-	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
-		whitespace + "+$", "g" ),
-
-	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
-	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
-		"*" ),
-	rdescend = new RegExp( whitespace + "|>" ),
-
-	rpseudo = new RegExp( pseudos ),
-	ridentifier = new RegExp( "^" + identifier + "$" ),
-
-	matchExpr = {
-		"ID": new RegExp( "^#(" + identifier + ")" ),
-		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
-		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
-		"ATTR": new RegExp( "^" + attributes ),
-		"PSEUDO": new RegExp( "^" + pseudos ),
-		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
-			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
-			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
-		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
-
-		// For use in libraries implementing .is()
-		// We use this for POS matching in `select`
-		"needsContext": new RegExp( "^" + whitespace +
-			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
-			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
-	},
-
-	rhtml = /HTML$/i,
-	rinputs = /^(?:input|select|textarea|button)$/i,
-	rheader = /^h\d$/i,
-
-	rnative = /^[^{]+\{\s*\[native \w/,
-
-	// Easily-parseable/retrievable ID or TAG or CLASS selectors
-	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
-
-	rsibling = /[+~]/,
-
-	// CSS escapes
-	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
-	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
-	funescape = function( escape, nonHex ) {
-		var high = "0x" + escape.slice( 1 ) - 0x10000;
-
-		return nonHex ?
-
-			// Strip the backslash prefix from a non-hex escape sequence
-			nonHex :
-
-			// Replace a hexadecimal escape sequence with the encoded Unicode code point
-			// Support: IE <=11+
-			// For values outside the Basic Multilingual Plane (BMP), manually construct a
-			// surrogate pair
-			high < 0 ?
-				String.fromCharCode( high + 0x10000 ) :
-				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
-	},
-
-	// CSS string/identifier serialization
-	// https://drafts.csswg.org/cssom/#common-serializing-idioms
-	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
-	fcssescape = function( ch, asCodePoint ) {
-		if ( asCodePoint ) {
-
-			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
-			if ( ch === "\0" ) {
-				return "\uFFFD";
-			}
-
-			// Control characters and (dependent upon position) numbers get escaped as code points
-			return ch.slice( 0, -1 ) + "\\" +
-				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
-		}
-
-		// Other potentially-special ASCII characters get backslash-escaped
-		return "\\" + ch;
-	},
-
-	// Used for iframes
-	// See setDocument()
-	// Removing the function wrapper causes a "Permission Denied"
-	// error in IE
-	unloadHandler = function() {
-		setDocument();
-	},
-
-	inDisabledFieldset = addCombinator(
-		function( elem ) {
-			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
-		},
-		{ dir: "parentNode", next: "legend" }
-	);
-
-// Optimize for push.apply( _, NodeList )
-try {
-	push.apply(
-		( arr = slice.call( preferredDoc.childNodes ) ),
-		preferredDoc.childNodes
-	);
-
-	// Support: Android<4.0
-	// Detect silently failing push.apply
-	// eslint-disable-next-line no-unused-expressions
-	arr[ preferredDoc.childNodes.length ].nodeType;
-} catch ( e ) {
-	push = { apply: arr.length ?
-
-		// Leverage slice if possible
-		function( target, els ) {
-			pushNative.apply( target, slice.call( els ) );
-		} :
-
-		// Support: IE<9
-		// Otherwise append directly
-		function( target, els ) {
-			var j = target.length,
-				i = 0;
-
-			// Can't trust NodeList.length
-			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
-			target.length = j - 1;
-		}
-	};
-}
-
-function Sizzle( selector, context, results, seed ) {
-	var m, i, elem, nid, match, groups, newSelector,
-		newContext = context && context.ownerDocument,
-
-		// nodeType defaults to 9, since context defaults to document
-		nodeType = context ? context.nodeType : 9;
-
-	results = results || [];
-
-	// Return early from calls with invalid selector or context
-	if ( typeof selector !== "string" || !selector ||
-		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
-
-		return results;
-	}
-
-	// Try to shortcut find operations (as opposed to filters) in HTML documents
-	if ( !seed ) {
-		setDocument( context );
-		context = context || document;
-
-		if ( documentIsHTML ) {
-
-			// If the selector is sufficiently simple, try using a "get*By*" DOM method
-			// (excepting DocumentFragment context, where the methods don't exist)
-			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
-
-				// ID selector
-				if ( ( m = match[ 1 ] ) ) {
-
-					// Document context
-					if ( nodeType === 9 ) {
-						if ( ( elem = context.getElementById( m ) ) ) {
-
-							// Support: IE, Opera, Webkit
-							// TODO: identify versions
-							// getElementById can match elements by name instead of ID
-							if ( elem.id === m ) {
-								results.push( elem );
-								return results;
-							}
-						} else {
-							return results;
-						}
-
-					// Element context
-					} else {
-
-						// Support: IE, Opera, Webkit
-						// TODO: identify versions
-						// getElementById can match elements by name instead of ID
-						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
-							contains( context, elem ) &&
-							elem.id === m ) {
-
-							results.push( elem );
-							return results;
-						}
-					}
-
-				// Type selector
-				} else if ( match[ 2 ] ) {
-					push.apply( results, context.getElementsByTagName( selector ) );
-					return results;
-
-				// Class selector
-				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
-					context.getElementsByClassName ) {
-
-					push.apply( results, context.getElementsByClassName( m ) );
-					return results;
-				}
-			}
-
-			// Take advantage of querySelectorAll
-			if ( support.qsa &&
-				!nonnativeSelectorCache[ selector + " " ] &&
-				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
-
-				// Support: IE 8 only
-				// Exclude object elements
-				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
-
-				newSelector = selector;
-				newContext = context;
-
-				// qSA considers elements outside a scoping root when evaluating child or
-				// descendant combinators, which is not what we want.
-				// In such cases, we work around the behavior by prefixing every selector in the
-				// list with an ID selector referencing the scope context.
-				// The technique has to be used as well when a leading combinator is used
-				// as such selectors are not recognized by querySelectorAll.
-				// Thanks to Andrew Dupont for this technique.
-				if ( nodeType === 1 &&
-					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
-
-					// Expand context for sibling selectors
-					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
-						context;
-
-					// We can use :scope instead of the ID hack if the browser
-					// supports it & if we're not changing the context.
-					if ( newContext !== context || !support.scope ) {
-
-						// Capture the context ID, setting it first if necessary
-						if ( ( nid = context.getAttribute( "id" ) ) ) {
-							nid = nid.replace( rcssescape, fcssescape );
-						} else {
-							context.setAttribute( "id", ( nid = expando ) );
-						}
-					}
-
-					// Prefix every selector in the list
-					groups = tokenize( selector );
-					i = groups.length;
-					while ( i-- ) {
-						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
-							toSelector( groups[ i ] );
-					}
-					newSelector = groups.join( "," );
-				}
-
-				try {
-					push.apply( results,
-						newContext.querySelectorAll( newSelector )
-					);
-					return results;
-				} catch ( qsaError ) {
-					nonnativeSelectorCache( selector, true );
-				} finally {
-					if ( nid === expando ) {
-						context.removeAttribute( "id" );
-					}
-				}
-			}
-		}
-	}
-
-	// All others
-	return select( selector.replace( rtrim, "$1" ), context, results, seed );
-}
-
-/**
- * Create key-value caches of limited size
- * @returns {function(string, object)} Returns the Object data after storing it on itself with
- *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
- *	deleting the oldest entry
- */
-function createCache() {
-	var keys = [];
-
-	function cache( key, value ) {
-
-		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
-		if ( keys.push( key + " " ) > Expr.cacheLength ) {
-
-			// Only keep the most recent entries
-			delete cache[ keys.shift() ];
-		}
-		return ( cache[ key + " " ] = value );
-	}
-	return cache;
-}
-
-/**
- * Mark a function for special use by Sizzle
- * @param {Function} fn The function to mark
- */
-function markFunction( fn ) {
-	fn[ expando ] = true;
-	return fn;
-}
-
-/**
- * Support testing using an element
- * @param {Function} fn Passed the created element and returns a boolean result
- */
-function assert( fn ) {
-	var el = document.createElement( "fieldset" );
-
-	try {
-		return !!fn( el );
-	} catch ( e ) {
-		return false;
-	} finally {
-
-		// Remove from its parent by default
-		if ( el.parentNode ) {
-			el.parentNode.removeChild( el );
-		}
-
-		// release memory in IE
-		el = null;
-	}
-}
-
-/**
- * Adds the same handler for all of the specified attrs
- * @param {String} attrs Pipe-separated list of attributes
- * @param {Function} handler The method that will be applied
- */
-function addHandle( attrs, handler ) {
-	var arr = attrs.split( "|" ),
-		i = arr.length;
-
-	while ( i-- ) {
-		Expr.attrHandle[ arr[ i ] ] = handler;
-	}
-}
-
-/**
- * Checks document order of two siblings
- * @param {Element} a
- * @param {Element} b
- * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
- */
-function siblingCheck( a, b ) {
-	var cur = b && a,
-		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
-			a.sourceIndex - b.sourceIndex;
-
-	// Use IE sourceIndex if available on both nodes
-	if ( diff ) {
-		return diff;
-	}
-
-	// Check if b follows a
-	if ( cur ) {
-		while ( ( cur = cur.nextSibling ) ) {
-			if ( cur === b ) {
-				return -1;
-			}
-		}
-	}
-
-	return a ? 1 : -1;
-}
-
-/**
- * Returns a function to use in pseudos for input types
- * @param {String} type
- */
-function createInputPseudo( type ) {
-	return function( elem ) {
-		var name = elem.nodeName.toLowerCase();
-		return name === "input" && elem.type === type;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for buttons
- * @param {String} type
- */
-function createButtonPseudo( type ) {
-	return function( elem ) {
-		var name = elem.nodeName.toLowerCase();
-		return ( name === "input" || name === "button" ) && elem.type === type;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for :enabled/:disabled
- * @param {Boolean} disabled true for :disabled; false for :enabled
- */
-function createDisabledPseudo( disabled ) {
-
-	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
-	return function( elem ) {
-
-		// Only certain elements can match :enabled or :disabled
-		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
-		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
-		if ( "form" in elem ) {
-
-			// Check for inherited disabledness on relevant non-disabled elements:
-			// * listed form-associated elements in a disabled fieldset
-			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
-			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
-			// * option elements in a disabled optgroup
-			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
-			// All such elements have a "form" property.
-			if ( elem.parentNode && elem.disabled === false ) {
-
-				// Option elements defer to a parent optgroup if present
-				if ( "label" in elem ) {
-					if ( "label" in elem.parentNode ) {
-						return elem.parentNode.disabled === disabled;
-					} else {
-						return elem.disabled === disabled;
-					}
-				}
-
-				// Support: IE 6 - 11
-				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
-				return elem.isDisabled === disabled ||
-
-					// Where there is no isDisabled, check manually
-					/* jshint -W018 */
-					elem.isDisabled !== !disabled &&
-					inDisabledFieldset( elem ) === disabled;
-			}
-
-			return elem.disabled === disabled;
-
-		// Try to winnow out elements that can't be disabled before trusting the disabled property.
-		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
-		// even exist on them, let alone have a boolean value.
-		} else if ( "label" in elem ) {
-			return elem.disabled === disabled;
-		}
-
-		// Remaining elements are neither :enabled nor :disabled
-		return false;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for positionals
- * @param {Function} fn
- */
-function createPositionalPseudo( fn ) {
-	return markFunction( function( argument ) {
-		argument = +argument;
-		return markFunction( function( seed, matches ) {
-			var j,
-				matchIndexes = fn( [], seed.length, argument ),
-				i = matchIndexes.length;
-
-			// Match elements found at the specified indexes
-			while ( i-- ) {
-				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
-					seed[ j ] = !( matches[ j ] = seed[ j ] );
-				}
-			}
-		} );
-	} );
-}
-
-/**
- * Checks a node for validity as a Sizzle context
- * @param {Element|Object=} context
- * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
- */
-function testContext( context ) {
-	return context && typeof context.getElementsByTagName !== "undefined" && context;
-}
-
-// Expose support vars for convenience
-support = Sizzle.support = {};
-
-/**
- * Detects XML nodes
- * @param {Element|Object} elem An element or a document
- * @returns {Boolean} True iff elem is a non-HTML XML node
- */
-isXML = Sizzle.isXML = function( elem ) {
-	var namespace = elem.namespaceURI,
-		docElem = ( elem.ownerDocument || elem ).documentElement;
-
-	// Support: IE <=8
-	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
-	// https://bugs.jquery.com/ticket/4833
-	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
-};
-
-/**
- * Sets document-related variables once based on the current document
- * @param {Element|Object} [doc] An element or document object to use to set the document
- * @returns {Object} Returns the current document
- */
-setDocument = Sizzle.setDocument = function( node ) {
-	var hasCompare, subWindow,
-		doc = node ? node.ownerDocument || node : preferredDoc;
-
-	// Return early if doc is invalid or already selected
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
-		return document;
-	}
-
-	// Update global variables
-	document = doc;
-	docElem = document.documentElement;
-	documentIsHTML = !isXML( document );
-
-	// Support: IE 9 - 11+, Edge 12 - 18+
-	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( preferredDoc != document &&
-		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
-
-		// Support: IE 11, Edge
-		if ( subWindow.addEventListener ) {
-			subWindow.addEventListener( "unload", unloadHandler, false );
-
-		// Support: IE 9 - 10 only
-		} else if ( subWindow.attachEvent ) {
-			subWindow.attachEvent( "onunload", unloadHandler );
-		}
-	}
-
-	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
-	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
-	// IE/Edge & older browsers don't support the :scope pseudo-class.
-	// Support: Safari 6.0 only
-	// Safari 6.0 supports :scope but it's an alias of :root there.
-	support.scope = assert( function( el ) {
-		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
-		return typeof el.querySelectorAll !== "undefined" &&
-			!el.querySelectorAll( ":scope fieldset div" ).length;
-	} );
-
-	/* Attributes
-	---------------------------------------------------------------------- */
-
-	// Support: IE<8
-	// Verify that getAttribute really returns attributes and not properties
-	// (excepting IE8 booleans)
-	support.attributes = assert( function( el ) {
-		el.className = "i";
-		return !el.getAttribute( "className" );
-	} );
-
-	/* getElement(s)By*
-	---------------------------------------------------------------------- */
-
-	// Check if getElementsByTagName("*") returns only elements
-	support.getElementsByTagName = assert( function( el ) {
-		el.appendChild( document.createComment( "" ) );
-		return !el.getElementsByTagName( "*" ).length;
-	} );
-
-	// Support: IE<9
-	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
-
-	// Support: IE<10
-	// Check if getElementById returns elements by name
-	// The broken getElementById methods don't pick up programmatically-set names,
-	// so use a roundabout getElementsByName test
-	support.getById = assert( function( el ) {
-		docElem.appendChild( el ).id = expando;
-		return !document.getElementsByName || !document.getElementsByName( expando ).length;
-	} );
-
-	// ID filter and find
-	if ( support.getById ) {
-		Expr.filter[ "ID" ] = function( id ) {
-			var attrId = id.replace( runescape, funescape );
-			return function( elem ) {
-				return elem.getAttribute( "id" ) === attrId;
-			};
-		};
-		Expr.find[ "ID" ] = function( id, context ) {
-			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
-				var elem = context.getElementById( id );
-				return elem ? [ elem ] : [];
-			}
-		};
-	} else {
-		Expr.filter[ "ID" ] =  function( id ) {
-			var attrId = id.replace( runescape, funescape );
-			return function( elem ) {
-				var node = typeof elem.getAttributeNode !== "undefined" &&
-					elem.getAttributeNode( "id" );
-				return node && node.value === attrId;
-			};
-		};
-
-		// Support: IE 6 - 7 only
-		// getElementById is not reliable as a find shortcut
-		Expr.find[ "ID" ] = function( id, context ) {
-			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
-				var node, i, elems,
-					elem = context.getElementById( id );
-
-				if ( elem ) {
-
-					// Verify the id attribute
-					node = elem.getAttributeNode( "id" );
-					if ( node && node.value === id ) {
-						return [ elem ];
-					}
-
-					// Fall back on getElementsByName
-					elems = context.getElementsByName( id );
-					i = 0;
-					while ( ( elem = elems[ i++ ] ) ) {
-						node = elem.getAttributeNode( "id" );
-						if ( node && node.value === id ) {
-							return [ elem ];
-						}
-					}
-				}
-
-				return [];
-			}
-		};
-	}
-
-	// Tag
-	Expr.find[ "TAG" ] = support.getElementsByTagName ?
-		function( tag, context ) {
-			if ( typeof context.getElementsByTagName !== "undefined" ) {
-				return context.getElementsByTagName( tag );
-
-			// DocumentFragment nodes don't have gEBTN
-			} else if ( support.qsa ) {
-				return context.querySelectorAll( tag );
-			}
-		} :
-
-		function( tag, context ) {
-			var elem,
-				tmp = [],
-				i = 0,
-
-				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
-				results = context.getElementsByTagName( tag );
-
-			// Filter out possible comments
-			if ( tag === "*" ) {
-				while ( ( elem = results[ i++ ] ) ) {
-					if ( elem.nodeType === 1 ) {
-						tmp.push( elem );
-					}
-				}
-
-				return tmp;
-			}
-			return results;
-		};
-
-	// Class
-	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
-		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
-			return context.getElementsByClassName( className );
-		}
-	};
-
-	/* QSA/matchesSelector
-	---------------------------------------------------------------------- */
-
-	// QSA and matchesSelector support
-
-	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
-	rbuggyMatches = [];
-
-	// qSa(:focus) reports false when true (Chrome 21)
-	// We allow this because of a bug in IE8/9 that throws an error
-	// whenever `document.activeElement` is accessed on an iframe
-	// So, we allow :focus to pass through QSA all the time to avoid the IE error
-	// See https://bugs.jquery.com/ticket/13378
-	rbuggyQSA = [];
-
-	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
-
-		// Build QSA regex
-		// Regex strategy adopted from Diego Perini
-		assert( function( el ) {
-
-			var input;
-
-			// Select is set to empty string on purpose
-			// This is to test IE's treatment of not explicitly
-			// setting a boolean content attribute,
-			// since its presence should be enough
-			// https://bugs.jquery.com/ticket/12359
-			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
-				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
-				"<option selected=''></option></select>";
-
-			// Support: IE8, Opera 11-12.16
-			// Nothing should be selected when empty strings follow ^= or $= or *=
-			// The test attribute must be unknown in Opera but "safe" for WinRT
-			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
-			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
-				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
-			}
-
-			// Support: IE8
-			// Boolean attributes and "value" are not treated correctly
-			if ( !el.querySelectorAll( "[selected]" ).length ) {
-				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
-			}
-
-			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
-			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
-				rbuggyQSA.push( "~=" );
-			}
-
-			// Support: IE 11+, Edge 15 - 18+
-			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
-			// Adding a temporary attribute to the document before the selection works
-			// around the issue.
-			// Interestingly, IE 10 & older don't seem to have the issue.
-			input = document.createElement( "input" );
-			input.setAttribute( "name", "" );
-			el.appendChild( input );
-			if ( !el.querySelectorAll( "[name='']" ).length ) {
-				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
-					whitespace + "*(?:''|\"\")" );
-			}
-
-			// Webkit/Opera - :checked should return selected option elements
-			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
-			// IE8 throws error here and will not see later tests
-			if ( !el.querySelectorAll( ":checked" ).length ) {
-				rbuggyQSA.push( ":checked" );
-			}
-
-			// Support: Safari 8+, iOS 8+
-			// https://bugs.webkit.org/show_bug.cgi?id=136851
-			// In-page `selector#id sibling-combinator selector` fails
-			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
-				rbuggyQSA.push( ".#.+[+~]" );
-			}
-
-			// Support: Firefox <=3.6 - 5 only
-			// Old Firefox doesn't throw on a badly-escaped identifier.
-			el.querySelectorAll( "\\\f" );
-			rbuggyQSA.push( "[\\r\\n\\f]" );
-		} );
-
-		assert( function( el ) {
-			el.innerHTML = "<a href='' disabled='disabled'></a>" +
-				"<select disabled='disabled'><option/></select>";
-
-			// Support: Windows 8 Native Apps
-			// The type and name attributes are restricted during .innerHTML assignment
-			var input = document.createElement( "input" );
-			input.setAttribute( "type", "hidden" );
-			el.appendChild( input ).setAttribute( "name", "D" );
-
-			// Support: IE8
-			// Enforce case-sensitivity of name attribute
-			if ( el.querySelectorAll( "[name=d]" ).length ) {
-				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
-			}
-
-			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
-			// IE8 throws error here and will not see later tests
-			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
-				rbuggyQSA.push( ":enabled", ":disabled" );
-			}
-
-			// Support: IE9-11+
-			// IE's :disabled selector does not pick up the children of disabled fieldsets
-			docElem.appendChild( el ).disabled = true;
-			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
-				rbuggyQSA.push( ":enabled", ":disabled" );
-			}
-
-			// Support: Opera 10 - 11 only
-			// Opera 10-11 does not throw on post-comma invalid pseudos
-			el.querySelectorAll( "*,:x" );
-			rbuggyQSA.push( ",.*:" );
-		} );
-	}
-
-	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
-		docElem.webkitMatchesSelector ||
-		docElem.mozMatchesSelector ||
-		docElem.oMatchesSelector ||
-		docElem.msMatchesSelector ) ) ) ) {
-
-		assert( function( el ) {
-
-			// Check to see if it's possible to do matchesSelector
-			// on a disconnected node (IE 9)
-			support.disconnectedMatch = matches.call( el, "*" );
-
-			// This should fail with an exception
-			// Gecko does not error, returns false instead
-			matches.call( el, "[s!='']:x" );
-			rbuggyMatches.push( "!=", pseudos );
-		} );
-	}
-
-	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
-	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
-
-	/* Contains
-	---------------------------------------------------------------------- */
-	hasCompare = rnative.test( docElem.compareDocumentPosition );
-
-	// Element contains another
-	// Purposefully self-exclusive
-	// As in, an element does not contain itself
-	contains = hasCompare || rnative.test( docElem.contains ) ?
-		function( a, b ) {
-			var adown = a.nodeType === 9 ? a.documentElement : a,
-				bup = b && b.parentNode;
-			return a === bup || !!( bup && bup.nodeType === 1 && (
-				adown.contains ?
-					adown.contains( bup ) :
-					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
-			) );
-		} :
-		function( a, b ) {
-			if ( b ) {
-				while ( ( b = b.parentNode ) ) {
-					if ( b === a ) {
-						return true;
-					}
-				}
-			}
-			return false;
-		};
-
-	/* Sorting
-	---------------------------------------------------------------------- */
-
-	// Document order sorting
-	sortOrder = hasCompare ?
-	function( a, b ) {
-
-		// Flag for duplicate removal
-		if ( a === b ) {
-			hasDuplicate = true;
-			return 0;
-		}
-
-		// Sort on method existence if only one input has compareDocumentPosition
-		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
-		if ( compare ) {
-			return compare;
-		}
-
-		// Calculate position if both inputs belong to the same document
-		// Support: IE 11+, Edge 17 - 18+
-		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-		// two documents; shallow comparisons work.
-		// eslint-disable-next-line eqeqeq
-		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
-			a.compareDocumentPosition( b ) :
-
-			// Otherwise we know they are disconnected
-			1;
-
-		// Disconnected nodes
-		if ( compare & 1 ||
-			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
-
-			// Choose the first element that is related to our preferred document
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			// eslint-disable-next-line eqeqeq
-			if ( a == document || a.ownerDocument == preferredDoc &&
-				contains( preferredDoc, a ) ) {
-				return -1;
-			}
-
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			// eslint-disable-next-line eqeqeq
-			if ( b == document || b.ownerDocument == preferredDoc &&
-				contains( preferredDoc, b ) ) {
-				return 1;
-			}
-
-			// Maintain original order
-			return sortInput ?
-				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
-				0;
-		}
-
-		return compare & 4 ? -1 : 1;
-	} :
-	function( a, b ) {
-
-		// Exit early if the nodes are identical
-		if ( a === b ) {
-			hasDuplicate = true;
-			return 0;
-		}
-
-		var cur,
-			i = 0,
-			aup = a.parentNode,
-			bup = b.parentNode,
-			ap = [ a ],
-			bp = [ b ];
-
-		// Parentless nodes are either documents or disconnected
-		if ( !aup || !bup ) {
-
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			/* eslint-disable eqeqeq */
-			return a == document ? -1 :
-				b == document ? 1 :
-				/* eslint-enable eqeqeq */
-				aup ? -1 :
-				bup ? 1 :
-				sortInput ?
-				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
-				0;
-
-		// If the nodes are siblings, we can do a quick check
-		} else if ( aup === bup ) {
-			return siblingCheck( a, b );
-		}
-
-		// Otherwise we need full lists of their ancestors for comparison
-		cur = a;
-		while ( ( cur = cur.parentNode ) ) {
-			ap.unshift( cur );
-		}
-		cur = b;
-		while ( ( cur = cur.parentNode ) ) {
-			bp.unshift( cur );
-		}
-
-		// Walk down the tree looking for a discrepancy
-		while ( ap[ i ] === bp[ i ] ) {
-			i++;
-		}
-
-		return i ?
-
-			// Do a sibling check if the nodes have a common ancestor
-			siblingCheck( ap[ i ], bp[ i ] ) :
-
-			// Otherwise nodes in our document sort first
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			/* eslint-disable eqeqeq */
-			ap[ i ] == preferredDoc ? -1 :
-			bp[ i ] == preferredDoc ? 1 :
-			/* eslint-enable eqeqeq */
-			0;
-	};
-
-	return document;
-};
-
-Sizzle.matches = function( expr, elements ) {
-	return Sizzle( expr, null, null, elements );
-};
-
-Sizzle.matchesSelector = function( elem, expr ) {
-	setDocument( elem );
-
-	if ( support.matchesSelector && documentIsHTML &&
-		!nonnativeSelectorCache[ expr + " " ] &&
-		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
-		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
-
-		try {
-			var ret = matches.call( elem, expr );
-
-			// IE 9's matchesSelector returns false on disconnected nodes
-			if ( ret || support.disconnectedMatch ||
-
-				// As well, disconnected nodes are said to be in a document
-				// fragment in IE 9
-				elem.document && elem.document.nodeType !== 11 ) {
-				return ret;
-			}
-		} catch ( e ) {
-			nonnativeSelectorCache( expr, true );
-		}
-	}
-
-	return Sizzle( expr, document, null, [ elem ] ).length > 0;
-};
-
-Sizzle.contains = function( context, elem ) {
-
-	// Set document vars if needed
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( ( context.ownerDocument || context ) != document ) {
-		setDocument( context );
-	}
-	return contains( context, elem );
-};
-
-Sizzle.attr = function( elem, name ) {
-
-	// Set document vars if needed
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( ( elem.ownerDocument || elem ) != document ) {
-		setDocument( elem );
-	}
-
-	var fn = Expr.attrHandle[ name.toLowerCase() ],
-
-		// Don't get fooled by Object.prototype properties (jQuery #13807)
-		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
-			fn( elem, name, !documentIsHTML ) :
-			undefined;
-
-	return val !== undefined ?
-		val :
-		support.attributes || !documentIsHTML ?
-			elem.getAttribute( name ) :
-			( val = elem.getAttributeNode( name ) ) && val.specified ?
-				val.value :
-				null;
-};
-
-Sizzle.escape = function( sel ) {
-	return ( sel + "" ).replace( rcssescape, fcssescape );
-};
-
-Sizzle.error = function( msg ) {
-	throw new Error( "Syntax error, unrecognized expression: " + msg );
-};
-
-/**
- * Document sorting and removing duplicates
- * @param {ArrayLike} results
- */
-Sizzle.uniqueSort = function( results ) {
-	var elem,
-		duplicates = [],
-		j = 0,
-		i = 0;
-
-	// Unless we *know* we can detect duplicates, assume their presence
-	hasDuplicate = !support.detectDuplicates;
-	sortInput = !support.sortStable && results.slice( 0 );
-	results.sort( sortOrder );
-
-	if ( hasDuplicate ) {
-		while ( ( elem = results[ i++ ] ) ) {
-			if ( elem === results[ i ] ) {
-				j = duplicates.push( i );
-			}
-		}
-		while ( j-- ) {
-			results.splice( duplicates[ j ], 1 );
-		}
-	}
-
-	// Clear input after sorting to release objects
-	// See https://github.com/jquery/sizzle/pull/225
-	sortInput = null;
-
-	return results;
-};
-
-/**
- * Utility function for retrieving the text value of an array of DOM nodes
- * @param {Array|Element} elem
- */
-getText = Sizzle.getText = function( elem ) {
-	var node,
-		ret = "",
-		i = 0,
-		nodeType = elem.nodeType;
-
-	if ( !nodeType ) {
-
-		// If no nodeType, this is expected to be an array
-		while ( ( node = elem[ i++ ] ) ) {
-
-			// Do not traverse comment nodes
-			ret += getText( node );
-		}
-	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
-
-		// Use textContent for elements
-		// innerText usage removed for consistency of new lines (jQuery #11153)
-		if ( typeof elem.textContent === "string" ) {
-			return elem.textContent;
-		} else {
-
-			// Traverse its children
-			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
-				ret += getText( elem );
-			}
-		}
-	} else if ( nodeType === 3 || nodeType === 4 ) {
-		return elem.nodeValue;
-	}
-
-	// Do not include comment or processing instruction nodes
-
-	return ret;
-};
-
-Expr = Sizzle.selectors = {
-
-	// Can be adjusted by the user
-	cacheLength: 50,
-
-	createPseudo: markFunction,
-
-	match: matchExpr,
-
-	attrHandle: {},
-
-	find: {},
-
-	relative: {
-		">": { dir: "parentNode", first: true },
-		" ": { dir: "parentNode" },
-		"+": { dir: "previousSibling", first: true },
-		"~": { dir: "previousSibling" }
-	},
-
-	preFilter: {
-		"ATTR": function( match ) {
-			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
-
-			// Move the given value to match[3] whether quoted or unquoted
-			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
-				match[ 5 ] || "" ).replace( runescape, funescape );
-
-			if ( match[ 2 ] === "~=" ) {
-				match[ 3 ] = " " + match[ 3 ] + " ";
-			}
-
-			return match.slice( 0, 4 );
-		},
-
-		"CHILD": function( match ) {
-
-			/* matches from matchExpr["CHILD"]
-				1 type (only|nth|...)
-				2 what (child|of-type)
-				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
-				4 xn-component of xn+y argument ([+-]?\d*n|)
-				5 sign of xn-component
-				6 x of xn-component
-				7 sign of y-component
-				8 y of y-component
-			*/
-			match[ 1 ] = match[ 1 ].toLowerCase();
-
-			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
-
-				// nth-* requires argument
-				if ( !match[ 3 ] ) {
-					Sizzle.error( match[ 0 ] );
-				}
-
-				// numeric x and y parameters for Expr.filter.CHILD
-				// remember that false/true cast respectively to 0/1
-				match[ 4 ] = +( match[ 4 ] ?
-					match[ 5 ] + ( match[ 6 ] || 1 ) :
-					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
-				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
-
-				// other types prohibit arguments
-			} else if ( match[ 3 ] ) {
-				Sizzle.error( match[ 0 ] );
-			}
-
-			return match;
-		},
-
-		"PSEUDO": function( match ) {
-			var excess,
-				unquoted = !match[ 6 ] && match[ 2 ];
-
-			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
-				return null;
-			}
-
-			// Accept quoted arguments as-is
-			if ( match[ 3 ] ) {
-				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
-
-			// Strip excess characters from unquoted arguments
-			} else if ( unquoted && rpseudo.test( unquoted ) &&
-
-				// Get excess from tokenize (recursively)
-				( excess = tokenize( unquoted, true ) ) &&
-
-				// advance to the next closing parenthesis
-				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
-
-				// excess is a negative index
-				match[ 0 ] = match[ 0 ].slice( 0, excess );
-				match[ 2 ] = unquoted.slice( 0, excess );
-			}
-
-			// Return only captures needed by the pseudo filter method (type and argument)
-			return match.slice( 0, 3 );
-		}
-	},
-
-	filter: {
-
-		"TAG": function( nodeNameSelector ) {
-			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
-			return nodeNameSelector === "*" ?
-				function() {
-					return true;
-				} :
-				function( elem ) {
-					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
-				};
-		},
-
-		"CLASS": function( className ) {
-			var pattern = classCache[ className + " " ];
-
-			return pattern ||
-				( pattern = new RegExp( "(^|" + whitespace +
-					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
-						className, function( elem ) {
-							return pattern.test(
-								typeof elem.className === "string" && elem.className ||
-								typeof elem.getAttribute !== "undefined" &&
-									elem.getAttribute( "class" ) ||
-								""
-							);
-				} );
-		},
-
-		"ATTR": function( name, operator, check ) {
-			return function( elem ) {
-				var result = Sizzle.attr( elem, name );
-
-				if ( result == null ) {
-					return operator === "!=";
-				}
-				if ( !operator ) {
-					return true;
-				}
-
-				result += "";
-
-				/* eslint-disable max-len */
-
-				return operator === "=" ? result === check :
-					operator === "!=" ? result !== check :
-					operator === "^=" ? check && result.indexOf( check ) === 0 :
-					operator === "*=" ? check && result.indexOf( check ) > -1 :
-					operator === "$=" ? check && result.slice( -check.length ) === check :
-					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
-					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
-					false;
-				/* eslint-enable max-len */
-
-			};
-		},
-
-		"CHILD": function( type, what, _argument, first, last ) {
-			var simple = type.slice( 0, 3 ) !== "nth",
-				forward = type.slice( -4 ) !== "last",
-				ofType = what === "of-type";
-
-			return first === 1 && last === 0 ?
-
-				// Shortcut for :nth-*(n)
-				function( elem ) {
-					return !!elem.parentNode;
-				} :
-
-				function( elem, _context, xml ) {
-					var cache, uniqueCache, outerCache, node, nodeIndex, start,
-						dir = simple !== forward ? "nextSibling" : "previousSibling",
-						parent = elem.parentNode,
-						name = ofType && elem.nodeName.toLowerCase(),
-						useCache = !xml && !ofType,
-						diff = false;
-
-					if ( parent ) {
-
-						// :(first|last|only)-(child|of-type)
-						if ( simple ) {
-							while ( dir ) {
-								node = elem;
-								while ( ( node = node[ dir ] ) ) {
-									if ( ofType ?
-										node.nodeName.toLowerCase() === name :
-										node.nodeType === 1 ) {
-
-										return false;
-									}
-								}
-
-								// Reverse direction for :only-* (if we haven't yet done so)
-								start = dir = type === "only" && !start && "nextSibling";
-							}
-							return true;
-						}
-
-						start = [ forward ? parent.firstChild : parent.lastChild ];
-
-						// non-xml :nth-child(...) stores cache data on `parent`
-						if ( forward && useCache ) {
-
-							// Seek `elem` from a previously-cached index
-
-							// ...in a gzip-friendly way
-							node = parent;
-							outerCache = node[ expando ] || ( node[ expando ] = {} );
-
-							// Support: IE <9 only
-							// Defend against cloned attroperties (jQuery gh-1709)
-							uniqueCache = outerCache[ node.uniqueID ] ||
-								( outerCache[ node.uniqueID ] = {} );
-
-							cache = uniqueCache[ type ] || [];
-							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
-							diff = nodeIndex && cache[ 2 ];
-							node = nodeIndex && parent.childNodes[ nodeIndex ];
-
-							while ( ( node = ++nodeIndex && node && node[ dir ] ||
-
-								// Fallback to seeking `elem` from the start
-								( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
-								// When found, cache indexes on `parent` and break
-								if ( node.nodeType === 1 && ++diff && node === elem ) {
-									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
-									break;
-								}
-							}
-
-						} else {
-
-							// Use previously-cached element index if available
-							if ( useCache ) {
-
-								// ...in a gzip-friendly way
-								node = elem;
-								outerCache = node[ expando ] || ( node[ expando ] = {} );
-
-								// Support: IE <9 only
-								// Defend against cloned attroperties (jQuery gh-1709)
-								uniqueCache = outerCache[ node.uniqueID ] ||
-									( outerCache[ node.uniqueID ] = {} );
-
-								cache = uniqueCache[ type ] || [];
-								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
-								diff = nodeIndex;
-							}
-
-							// xml :nth-child(...)
-							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
-							if ( diff === false ) {
-
-								// Use the same loop as above to seek `elem` from the start
-								while ( ( node = ++nodeIndex && node && node[ dir ] ||
-									( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
-									if ( ( ofType ?
-										node.nodeName.toLowerCase() === name :
-										node.nodeType === 1 ) &&
-										++diff ) {
-
-										// Cache the index of each encountered element
-										if ( useCache ) {
-											outerCache = node[ expando ] ||
-												( node[ expando ] = {} );
-
-											// Support: IE <9 only
-											// Defend against cloned attroperties (jQuery gh-1709)
-											uniqueCache = outerCache[ node.uniqueID ] ||
-												( outerCache[ node.uniqueID ] = {} );
-
-											uniqueCache[ type ] = [ dirruns, diff ];
-										}
-
-										if ( node === elem ) {
-											break;
-										}
-									}
-								}
-							}
-						}
-
-						// Incorporate the offset, then check against cycle size
-						diff -= last;
-						return diff === first || ( diff % first === 0 && diff / first >= 0 );
-					}
-				};
-		},
-
-		"PSEUDO": function( pseudo, argument ) {
-
-			// pseudo-class names are case-insensitive
-			// http://www.w3.org/TR/selectors/#pseudo-classes
-			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
-			// Remember that setFilters inherits from pseudos
-			var args,
-				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
-					Sizzle.error( "unsupported pseudo: " + pseudo );
-
-			// The user may use createPseudo to indicate that
-			// arguments are needed to create the filter function
-			// just as Sizzle does
-			if ( fn[ expando ] ) {
-				return fn( argument );
-			}
-
-			// But maintain support for old signatures
-			if ( fn.length > 1 ) {
-				args = [ pseudo, pseudo, "", argument ];
-				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
-					markFunction( function( seed, matches ) {
-						var idx,
-							matched = fn( seed, argument ),
-							i = matched.length;
-						while ( i-- ) {
-							idx = indexOf( seed, matched[ i ] );
-							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
-						}
-					} ) :
-					function( elem ) {
-						return fn( elem, 0, args );
-					};
-			}
-
-			return fn;
-		}
-	},
-
-	pseudos: {
-
-		// Potentially complex pseudos
-		"not": markFunction( function( selector ) {
-
-			// Trim the selector passed to compile
-			// to avoid treating leading and trailing
-			// spaces as combinators
-			var input = [],
-				results = [],
-				matcher = compile( selector.replace( rtrim, "$1" ) );
-
-			return matcher[ expando ] ?
-				markFunction( function( seed, matches, _context, xml ) {
-					var elem,
-						unmatched = matcher( seed, null, xml, [] ),
-						i = seed.length;
-
-					// Match elements unmatched by `matcher`
-					while ( i-- ) {
-						if ( ( elem = unmatched[ i ] ) ) {
-							seed[ i ] = !( matches[ i ] = elem );
-						}
-					}
-				} ) :
-				function( elem, _context, xml ) {
-					input[ 0 ] = elem;
-					matcher( input, null, xml, results );
-
-					// Don't keep the element (issue #299)
-					input[ 0 ] = null;
-					return !results.pop();
-				};
-		} ),
-
-		"has": markFunction( function( selector ) {
-			return function( elem ) {
-				return Sizzle( selector, elem ).length > 0;
-			};
-		} ),
-
-		"contains": markFunction( function( text ) {
-			text = text.replace( runescape, funescape );
-			return function( elem ) {
-				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
-			};
-		} ),
-
-		// "Whether an element is represented by a :lang() selector
-		// is based solely on the element's language value
-		// being equal to the identifier C,
-		// or beginning with the identifier C immediately followed by "-".
-		// The matching of C against the element's language value is performed case-insensitively.
-		// The identifier C does not have to be a valid language name."
-		// http://www.w3.org/TR/selectors/#lang-pseudo
-		"lang": markFunction( function( lang ) {
-
-			// lang value must be a valid identifier
-			if ( !ridentifier.test( lang || "" ) ) {
-				Sizzle.error( "unsupported lang: " + lang );
-			}
-			lang = lang.replace( runescape, funescape ).toLowerCase();
-			return function( elem ) {
-				var elemLang;
-				do {
-					if ( ( elemLang = documentIsHTML ?
-						elem.lang :
-						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
-
-						elemLang = elemLang.toLowerCase();
-						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
-					}
-				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
-				return false;
-			};
-		} ),
-
-		// Miscellaneous
-		"target": function( elem ) {
-			var hash = window.location && window.location.hash;
-			return hash && hash.slice( 1 ) === elem.id;
-		},
-
-		"root": function( elem ) {
-			return elem === docElem;
-		},
-
-		"focus": function( elem ) {
-			return elem === document.activeElement &&
-				( !document.hasFocus || document.hasFocus() ) &&
-				!!( elem.type || elem.href || ~elem.tabIndex );
-		},
-
-		// Boolean properties
-		"enabled": createDisabledPseudo( false ),
-		"disabled": createDisabledPseudo( true ),
-
-		"checked": function( elem ) {
-
-			// In CSS3, :checked should return both checked and selected elements
-			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
-			var nodeName = elem.nodeName.toLowerCase();
-			return ( nodeName === "input" && !!elem.checked ) ||
-				( nodeName === "option" && !!elem.selected );
-		},
-
-		"selected": function( elem ) {
-
-			// Accessing this property makes selected-by-default
-			// options in Safari work properly
-			if ( elem.parentNode ) {
-				// eslint-disable-next-line no-unused-expressions
-				elem.parentNode.selectedIndex;
-			}
-
-			return elem.selected === true;
-		},
-
-		// Contents
-		"empty": function( elem ) {
-
-			// http://www.w3.org/TR/selectors/#empty-pseudo
-			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
-			//   but not by others (comment: 8; processing instruction: 7; etc.)
-			// nodeType < 6 works because attributes (2) do not appear as children
-			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
-				if ( elem.nodeType < 6 ) {
-					return false;
-				}
-			}
-			return true;
-		},
-
-		"parent": function( elem ) {
-			return !Expr.pseudos[ "empty" ]( elem );
-		},
-
-		// Element/input types
-		"header": function( elem ) {
-			return rheader.test( elem.nodeName );
-		},
-
-		"input": function( elem ) {
-			return rinputs.test( elem.nodeName );
-		},
-
-		"button": function( elem ) {
-			var name = elem.nodeName.toLowerCase();
-			return name === "input" && elem.type === "button" || name === "button";
-		},
-
-		"text": function( elem ) {
-			var attr;
-			return elem.nodeName.toLowerCase() === "input" &&
-				elem.type === "text" &&
-
-				// Support: IE<8
-				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
-				( ( attr = elem.getAttribute( "type" ) ) == null ||
-					attr.toLowerCase() === "text" );
-		},
-
-		// Position-in-collection
-		"first": createPositionalPseudo( function() {
-			return [ 0 ];
-		} ),
-
-		"last": createPositionalPseudo( function( _matchIndexes, length ) {
-			return [ length - 1 ];
-		} ),
-
-		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
-			return [ argument < 0 ? argument + length : argument ];
-		} ),
-
-		"even": createPositionalPseudo( function( matchIndexes, length ) {
-			var i = 0;
-			for ( ; i < length; i += 2 ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"odd": createPositionalPseudo( function( matchIndexes, length ) {
-			var i = 1;
-			for ( ; i < length; i += 2 ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
-			var i = argument < 0 ?
-				argument + length :
-				argument > length ?
-					length :
-					argument;
-			for ( ; --i >= 0; ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
-			var i = argument < 0 ? argument + length : argument;
-			for ( ; ++i < length; ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} )
-	}
-};
-
-Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
-
-// Add button/input type pseudos
-for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
-	Expr.pseudos[ i ] = createInputPseudo( i );
-}
-for ( i in { submit: true, reset: true } ) {
-	Expr.pseudos[ i ] = createButtonPseudo( i );
-}
-
-// Easy API for creating new setFilters
-function setFilters() {}
-setFilters.prototype = Expr.filters = Expr.pseudos;
-Expr.setFilters = new setFilters();
-
-tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
-	var matched, match, tokens, type,
-		soFar, groups, preFilters,
-		cached = tokenCache[ selector + " " ];
-
-	if ( cached ) {
-		return parseOnly ? 0 : cached.slice( 0 );
-	}
-
-	soFar = selector;
-	groups = [];
-	preFilters = Expr.preFilter;
-
-	while ( soFar ) {
-
-		// Comma and first run
-		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
-			if ( match ) {
-
-				// Don't consume trailing commas as valid
-				soFar = soFar.slice( match[ 0 ].length ) || soFar;
-			}
-			groups.push( ( tokens = [] ) );
-		}
-
-		matched = false;
-
-		// Combinators
-		if ( ( match = rcombinators.exec( soFar ) ) ) {
-			matched = match.shift();
-			tokens.push( {
-				value: matched,
-
-				// Cast descendant combinators to space
-				type: match[ 0 ].replace( rtrim, " " )
-			} );
-			soFar = soFar.slice( matched.length );
-		}
-
-		// Filters
-		for ( type in Expr.filter ) {
-			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
-				( match = preFilters[ type ]( match ) ) ) ) {
-				matched = match.shift();
-				tokens.push( {
-					value: matched,
-					type: type,
-					matches: match
-				} );
-				soFar = soFar.slice( matched.length );
-			}
-		}
-
-		if ( !matched ) {
-			break;
-		}
-	}
-
-	// Return the length of the invalid excess
-	// if we're just parsing
-	// Otherwise, throw an error or return tokens
-	return parseOnly ?
-		soFar.length :
-		soFar ?
-			Sizzle.error( selector ) :
-
-			// Cache the tokens
-			tokenCache( selector, groups ).slice( 0 );
-};
-
-function toSelector( tokens ) {
-	var i = 0,
-		len = tokens.length,
-		selector = "";
-	for ( ; i < len; i++ ) {
-		selector += tokens[ i ].value;
-	}
-	return selector;
-}
-
-function addCombinator( matcher, combinator, base ) {
-	var dir = combinator.dir,
-		skip = combinator.next,
-		key = skip || dir,
-		checkNonElements = base && key === "parentNode",
-		doneName = done++;
-
-	return combinator.first ?
-
-		// Check against closest ancestor/preceding element
-		function( elem, context, xml ) {
-			while ( ( elem = elem[ dir ] ) ) {
-				if ( elem.nodeType === 1 || checkNonElements ) {
-					return matcher( elem, context, xml );
-				}
-			}
-			return false;
-		} :
-
-		// Check against all ancestor/preceding elements
-		function( elem, context, xml ) {
-			var oldCache, uniqueCache, outerCache,
-				newCache = [ dirruns, doneName ];
-
-			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
-			if ( xml ) {
-				while ( ( elem = elem[ dir ] ) ) {
-					if ( elem.nodeType === 1 || checkNonElements ) {
-						if ( matcher( elem, context, xml ) ) {
-							return true;
-						}
-					}
-				}
-			} else {
-				while ( ( elem = elem[ dir ] ) ) {
-					if ( elem.nodeType === 1 || checkNonElements ) {
-						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
-
-						// Support: IE <9 only
-						// Defend against cloned attroperties (jQuery gh-1709)
-						uniqueCache = outerCache[ elem.uniqueID ] ||
-							( outerCache[ elem.uniqueID ] = {} );
-
-						if ( skip && skip === elem.nodeName.toLowerCase() ) {
-							elem = elem[ dir ] || elem;
-						} else if ( ( oldCache = uniqueCache[ key ] ) &&
-							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
-
-							// Assign to newCache so results back-propagate to previous elements
-							return ( newCache[ 2 ] = oldCache[ 2 ] );
-						} else {
-
-							// Reuse newcache so results back-propagate to previous elements
-							uniqueCache[ key ] = newCache;
-
-							// A match means we're done; a fail means we have to keep checking
-							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
-								return true;
-							}
-						}
-					}
-				}
-			}
-			return false;
-		};
-}
-
-function elementMatcher( matchers ) {
-	return matchers.length > 1 ?
-		function( elem, context, xml ) {
-			var i = matchers.length;
-			while ( i-- ) {
-				if ( !matchers[ i ]( elem, context, xml ) ) {
-					return false;
-				}
-			}
-			return true;
-		} :
-		matchers[ 0 ];
-}
-
-function multipleContexts( selector, contexts, results ) {
-	var i = 0,
-		len = contexts.length;
-	for ( ; i < len; i++ ) {
-		Sizzle( selector, contexts[ i ], results );
-	}
-	return results;
-}
-
-function condense( unmatched, map, filter, context, xml ) {
-	var elem,
-		newUnmatched = [],
-		i = 0,
-		len = unmatched.length,
-		mapped = map != null;
-
-	for ( ; i < len; i++ ) {
-		if ( ( elem = unmatched[ i ] ) ) {
-			if ( !filter || filter( elem, context, xml ) ) {
-				newUnmatched.push( elem );
-				if ( mapped ) {
-					map.push( i );
-				}
-			}
-		}
-	}
-
-	return newUnmatched;
-}
-
-function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
-	if ( postFilter && !postFilter[ expando ] ) {
-		postFilter = setMatcher( postFilter );
-	}
-	if ( postFinder && !postFinder[ expando ] ) {
-		postFinder = setMatcher( postFinder, postSelector );
-	}
-	return markFunction( function( seed, results, context, xml ) {
-		var temp, i, elem,
-			preMap = [],
-			postMap = [],
-			preexisting = results.length,
-
-			// Get initial elements from seed or context
-			elems = seed || multipleContexts(
-				selector || "*",
-				context.nodeType ? [ context ] : context,
-				[]
-			),
-
-			// Prefilter to get matcher input, preserving a map for seed-results synchronization
-			matcherIn = preFilter && ( seed || !selector ) ?
-				condense( elems, preMap, preFilter, context, xml ) :
-				elems,
-
-			matcherOut = matcher ?
-
-				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
-				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
-
-					// ...intermediate processing is necessary
-					[] :
-
-					// ...otherwise use results directly
-					results :
-				matcherIn;
-
-		// Find primary matches
-		if ( matcher ) {
-			matcher( matcherIn, matcherOut, context, xml );
-		}
-
-		// Apply postFilter
-		if ( postFilter ) {
-			temp = condense( matcherOut, postMap );
-			postFilter( temp, [], context, xml );
-
-			// Un-match failing elements by moving them back to matcherIn
-			i = temp.length;
-			while ( i-- ) {
-				if ( ( elem = temp[ i ] ) ) {
-					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
-				}
-			}
-		}
-
-		if ( seed ) {
-			if ( postFinder || preFilter ) {
-				if ( postFinder ) {
-
-					// Get the final matcherOut by condensing this intermediate into postFinder contexts
-					temp = [];
-					i = matcherOut.length;
-					while ( i-- ) {
-						if ( ( elem = matcherOut[ i ] ) ) {
-
-							// Restore matcherIn since elem is not yet a final match
-							temp.push( ( matcherIn[ i ] = elem ) );
-						}
-					}
-					postFinder( null, ( matcherOut = [] ), temp, xml );
-				}
-
-				// Move matched elements from seed to results to keep them synchronized
-				i = matcherOut.length;
-				while ( i-- ) {
-					if ( ( elem = matcherOut[ i ] ) &&
-						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
-
-						seed[ temp ] = !( results[ temp ] = elem );
-					}
-				}
-			}
-
-		// Add elements to results, through postFinder if defined
-		} else {
-			matcherOut = condense(
-				matcherOut === results ?
-					matcherOut.splice( preexisting, matcherOut.length ) :
-					matcherOut
-			);
-			if ( postFinder ) {
-				postFinder( null, results, matcherOut, xml );
-			} else {
-				push.apply( results, matcherOut );
-			}
-		}
-	} );
-}
-
-function matcherFromTokens( tokens ) {
-	var checkContext, matcher, j,
-		len = tokens.length,
-		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
-		implicitRelative = leadingRelative || Expr.relative[ " " ],
-		i = leadingRelative ? 1 : 0,
-
-		// The foundational matcher ensures that elements are reachable from top-level context(s)
-		matchContext = addCombinator( function( elem ) {
-			return elem === checkContext;
-		}, implicitRelative, true ),
-		matchAnyContext = addCombinator( function( elem ) {
-			return indexOf( checkContext, elem ) > -1;
-		}, implicitRelative, true ),
-		matchers = [ function( elem, context, xml ) {
-			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
-				( checkContext = context ).nodeType ?
-					matchContext( elem, context, xml ) :
-					matchAnyContext( elem, context, xml ) );
-
-			// Avoid hanging onto element (issue #299)
-			checkContext = null;
-			return ret;
-		} ];
-
-	for ( ; i < len; i++ ) {
-		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
-			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
-		} else {
-			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
-
-			// Return special upon seeing a positional matcher
-			if ( matcher[ expando ] ) {
-
-				// Find the next relative operator (if any) for proper handling
-				j = ++i;
-				for ( ; j < len; j++ ) {
-					if ( Expr.relative[ tokens[ j ].type ] ) {
-						break;
-					}
-				}
-				return setMatcher(
-					i > 1 && elementMatcher( matchers ),
-					i > 1 && toSelector(
-
-					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
-					tokens
-						.slice( 0, i - 1 )
-						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
-					).replace( rtrim, "$1" ),
-					matcher,
-					i < j && matcherFromTokens( tokens.slice( i, j ) ),
-					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
-					j < len && toSelector( tokens )
-				);
-			}
-			matchers.push( matcher );
-		}
-	}
-
-	return elementMatcher( matchers );
-}
-
-function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
-	var bySet = setMatchers.length > 0,
-		byElement = elementMatchers.length > 0,
-		superMatcher = function( seed, context, xml, results, outermost ) {
-			var elem, j, matcher,
-				matchedCount = 0,
-				i = "0",
-				unmatched = seed && [],
-				setMatched = [],
-				contextBackup = outermostContext,
-
-				// We must always have either seed elements or outermost context
-				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
-
-				// Use integer dirruns iff this is the outermost matcher
-				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
-				len = elems.length;
-
-			if ( outermost ) {
-
-				// Support: IE 11+, Edge 17 - 18+
-				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-				// two documents; shallow comparisons work.
-				// eslint-disable-next-line eqeqeq
-				outermostContext = context == document || context || outermost;
-			}
-
-			// Add elements passing elementMatchers directly to results
-			// Support: IE<9, Safari
-			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
-			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
-				if ( byElement && elem ) {
-					j = 0;
-
-					// Support: IE 11+, Edge 17 - 18+
-					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-					// two documents; shallow comparisons work.
-					// eslint-disable-next-line eqeqeq
-					if ( !context && elem.ownerDocument != document ) {
-						setDocument( elem );
-						xml = !documentIsHTML;
-					}
-					while ( ( matcher = elementMatchers[ j++ ] ) ) {
-						if ( matcher( elem, context || document, xml ) ) {
-							results.push( elem );
-							break;
-						}
-					}
-					if ( outermost ) {
-						dirruns = dirrunsUnique;
-					}
-				}
-
-				// Track unmatched elements for set filters
-				if ( bySet ) {
-
-					// They will have gone through all possible matchers
-					if ( ( elem = !matcher && elem ) ) {
-						matchedCount--;
-					}
-
-					// Lengthen the array for every element, matched or not
-					if ( seed ) {
-						unmatched.push( elem );
-					}
-				}
-			}
-
-			// `i` is now the count of elements visited above, and adding it to `matchedCount`
-			// makes the latter nonnegative.
-			matchedCount += i;
-
-			// Apply set filters to unmatched elements
-			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
-			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
-			// no element matchers and no seed.
-			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
-			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
-			// numerically zero.
-			if ( bySet && i !== matchedCount ) {
-				j = 0;
-				while ( ( matcher = setMatchers[ j++ ] ) ) {
-					matcher( unmatched, setMatched, context, xml );
-				}
-
-				if ( seed ) {
-
-					// Reintegrate element matches to eliminate the need for sorting
-					if ( matchedCount > 0 ) {
-						while ( i-- ) {
-							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
-								setMatched[ i ] = pop.call( results );
-							}
-						}
-					}
-
-					// Discard index placeholder values to get only actual matches
-					setMatched = condense( setMatched );
-				}
-
-				// Add matches to results
-				push.apply( results, setMatched );
-
-				// Seedless set matches succeeding multiple successful matchers stipulate sorting
-				if ( outermost && !seed && setMatched.length > 0 &&
-					( matchedCount + setMatchers.length ) > 1 ) {
-
-					Sizzle.uniqueSort( results );
-				}
-			}
-
-			// Override manipulation of globals by nested matchers
-			if ( outermost ) {
-				dirruns = dirrunsUnique;
-				outermostContext = contextBackup;
-			}
-
-			return unmatched;
-		};
-
-	return bySet ?
-		markFunction( superMatcher ) :
-		superMatcher;
-}
-
-compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
-	var i,
-		setMatchers = [],
-		elementMatchers = [],
-		cached = compilerCache[ selector + " " ];
-
-	if ( !cached ) {
-
-		// Generate a function of recursive functions that can be used to check each element
-		if ( !match ) {
-			match = tokenize( selector );
-		}
-		i = match.length;
-		while ( i-- ) {
-			cached = matcherFromTokens( match[ i ] );
-			if ( cached[ expando ] ) {
-				setMatchers.push( cached );
-			} else {
-				elementMatchers.push( cached );
-			}
-		}
-
-		// Cache the compiled function
-		cached = compilerCache(
-			selector,
-			matcherFromGroupMatchers( elementMatchers, setMatchers )
-		);
-
-		// Save selector and tokenization
-		cached.selector = selector;
-	}
-	return cached;
-};
-
-/**
- * A low-level selection function that works with Sizzle's compiled
- *  selector functions
- * @param {String|Function} selector A selector or a pre-compiled
- *  selector function built with Sizzle.compile
- * @param {Element} context
- * @param {Array} [results]
- * @param {Array} [seed] A set of elements to match against
- */
-select = Sizzle.select = function( selector, context, results, seed ) {
-	var i, tokens, token, type, find,
-		compiled = typeof selector === "function" && selector,
-		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
-
-	results = results || [];
-
-	// Try to minimize operations if there is only one selector in the list and no seed
-	// (the latter of which guarantees us context)
-	if ( match.length === 1 ) {
-
-		// Reduce context if the leading compound selector is an ID
-		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
-		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
-			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
-
-			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
-				.replace( runescape, funescape ), context ) || [] )[ 0 ];
-			if ( !context ) {
-				return results;
-
-			// Precompiled matchers will still verify ancestry, so step up a level
-			} else if ( compiled ) {
-				context = context.parentNode;
-			}
-
-			selector = selector.slice( tokens.shift().value.length );
-		}
-
-		// Fetch a seed set for right-to-left matching
-		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
-		while ( i-- ) {
-			token = tokens[ i ];
-
-			// Abort if we hit a combinator
-			if ( Expr.relative[ ( type = token.type ) ] ) {
-				break;
-			}
-			if ( ( find = Expr.find[ type ] ) ) {
-
-				// Search, expanding context for leading sibling combinators
-				if ( ( seed = find(
-					token.matches[ 0 ].replace( runescape, funescape ),
-					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
-						context
-				) ) ) {
-
-					// If seed is empty or no tokens remain, we can return early
-					tokens.splice( i, 1 );
-					selector = seed.length && toSelector( tokens );
-					if ( !selector ) {
-						push.apply( results, seed );
-						return results;
-					}
-
-					break;
-				}
-			}
-		}
-	}
-
-	// Compile and execute a filtering function if one is not provided
-	// Provide `match` to avoid retokenization if we modified the selector above
-	( compiled || compile( selector, match ) )(
-		seed,
-		context,
-		!documentIsHTML,
-		results,
-		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
-	);
-	return results;
-};
-
-// One-time assignments
-
-// Sort stability
-support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
-
-// Support: Chrome 14-35+
-// Always assume duplicates if they aren't passed to the comparison function
-support.detectDuplicates = !!hasDuplicate;
-
-// Initialize against the default document
-setDocument();
-
-// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
-// Detached nodes confoundingly follow *each other*
-support.sortDetached = assert( function( el ) {
-
-	// Should return 1, but returns 4 (following)
-	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
-} );
-
-// Support: IE<8
-// Prevent attribute/property "interpolation"
-// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
-if ( !assert( function( el ) {
-	el.innerHTML = "<a href='#'></a>";
-	return el.firstChild.getAttribute( "href" ) === "#";
-} ) ) {
-	addHandle( "type|href|height|width", function( elem, name, isXML ) {
-		if ( !isXML ) {
-			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
-		}
-	} );
-}
-
-// Support: IE<9
-// Use defaultValue in place of getAttribute("value")
-if ( !support.attributes || !assert( function( el ) {
-	el.innerHTML = "<input/>";
-	el.firstChild.setAttribute( "value", "" );
-	return el.firstChild.getAttribute( "value" ) === "";
-} ) ) {
-	addHandle( "value", function( elem, _name, isXML ) {
-		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
-			return elem.defaultValue;
-		}
-	} );
-}
-
-// Support: IE<9
-// Use getAttributeNode to fetch booleans when getAttribute lies
-if ( !assert( function( el ) {
-	return el.getAttribute( "disabled" ) == null;
-} ) ) {
-	addHandle( booleans, function( elem, name, isXML ) {
-		var val;
-		if ( !isXML ) {
-			return elem[ name ] === true ? name.toLowerCase() :
-				( val = elem.getAttributeNode( name ) ) && val.specified ?
-					val.value :
-					null;
-		}
-	} );
-}
-
-return Sizzle;
-
-} )( window );
-
-
-
-jQuery.find = Sizzle;
-jQuery.expr = Sizzle.selectors;
-
-// Deprecated
-jQuery.expr[ ":" ] = jQuery.expr.pseudos;
-jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
-jQuery.text = Sizzle.getText;
-jQuery.isXMLDoc = Sizzle.isXML;
-jQuery.contains = Sizzle.contains;
-jQuery.escapeSelector = Sizzle.escape;
-
-
-
-
-var dir = function( elem, dir, until ) {
-	var matched = [],
-		truncate = until !== undefined;
-
-	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
-		if ( elem.nodeType === 1 ) {
-			if ( truncate && jQuery( elem ).is( until ) ) {
-				break;
-			}
-			matched.push( elem );
-		}
-	}
-	return matched;
-};
-
-
-var siblings = function( n, elem ) {
-	var matched = [];
-
-	for ( ; n; n = n.nextSibling ) {
-		if ( n.nodeType === 1 && n !== elem ) {
-			matched.push( n );
-		}
-	}
-
-	return matched;
-};
-
-
-var rneedsContext = jQuery.expr.match.needsContext;
-
-
-
-function nodeName( elem, name ) {
-
-  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
-
-};
-var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
-
-
-
-// Implement the identical functionality for filter and not
-function winnow( elements, qualifier, not ) {
-	if ( isFunction( qualifier ) ) {
-		return jQuery.grep( elements, function( elem, i ) {
-			return !!qualifier.call( elem, i, elem ) !== not;
-		} );
-	}
-
-	// Single element
-	if ( qualifier.nodeType ) {
-		return jQuery.grep( elements, function( elem ) {
-			return ( elem === qualifier ) !== not;
-		} );
-	}
-
-	// Arraylike of elements (jQuery, arguments, Array)
-	if ( typeof qualifier !== "string" ) {
-		return jQuery.grep( elements, function( elem ) {
-			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
-		} );
-	}
-
-	// Filtered directly for both simple and complex selectors
-	return jQuery.filter( qualifier, elements, not );
-}
-
-jQuery.filter = function( expr, elems, not ) {
-	var elem = elems[ 0 ];
-
-	if ( not ) {
-		expr = ":not(" + expr + ")";
-	}
-
-	if ( elems.length === 1 && elem.nodeType === 1 ) {
-		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
-	}
-
-	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
-		return elem.nodeType === 1;
-	} ) );
-};
-
-jQuery.fn.extend( {
-	find: function( selector ) {
-		var i, ret,
-			len = this.length,
-			self = this;
-
-		if ( typeof selector !== "string" ) {
-			return this.pushStack( jQuery( selector ).filter( function() {
-				for ( i = 0; i < len; i++ ) {
-					if ( jQuery.contains( self[ i ], this ) ) {
-						return true;
-					}
-				}
-			} ) );
-		}
-
-		ret = this.pushStack( [] );
-
-		for ( i = 0; i < len; i++ ) {
-			jQuery.find( selector, self[ i ], ret );
-		}
-
-		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
-	},
-	filter: function( selector ) {
-		return this.pushStack( winnow( this, selector || [], false ) );
-	},
-	not: function( selector ) {
-		return this.pushStack( winnow( this, selector || [], true ) );
-	},
-	is: function( selector ) {
-		return !!winnow(
-			this,
-
-			// If this is a positional/relative selector, check membership in the returned set
-			// so $("p:first").is("p:last") won't return true for a doc with two "p".
-			typeof selector === "string" && rneedsContext.test( selector ) ?
-				jQuery( selector ) :
-				selector || [],
-			false
-		).length;
-	}
-} );
-
-
-// Initialize a jQuery object
-
-
-// A central reference to the root jQuery(document)
-var rootjQuery,
-
-	// A simple way to check for HTML strings
-	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
-	// Strict HTML recognition (#11290: must start with <)
-	// Shortcut simple #id case for speed
-	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
-
-	init = jQuery.fn.init = function( selector, context, root ) {
-		var match, elem;
-
-		// HANDLE: $(""), $(null), $(undefined), $(false)
-		if ( !selector ) {
-			return this;
-		}
-
-		// Method init() accepts an alternate rootjQuery
-		// so migrate can support jQuery.sub (gh-2101)
-		root = root || rootjQuery;
-
-		// Handle HTML strings
-		if ( typeof selector === "string" ) {
-			if ( selector[ 0 ] === "<" &&
-				selector[ selector.length - 1 ] === ">" &&
-				selector.length >= 3 ) {
-
-				// Assume that strings that start and end with <> are HTML and skip the regex check
-				match = [ null, selector, null ];
-
-			} else {
-				match = rquickExpr.exec( selector );
-			}
-
-			// Match html or make sure no context is specified for #id
-			if ( match && ( match[ 1 ] || !context ) ) {
-
-				// HANDLE: $(html) -> $(array)
-				if ( match[ 1 ] ) {
-					context = context instanceof jQuery ? context[ 0 ] : context;
-
-					// Option to run scripts is true for back-compat
-					// Intentionally let the error be thrown if parseHTML is not present
-					jQuery.merge( this, jQuery.parseHTML(
-						match[ 1 ],
-						context && context.nodeType ? context.ownerDocument || context : document,
-						true
-					) );
-
-					// HANDLE: $(html, props)
-					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
-						for ( match in context ) {
-
-							// Properties of context are called as methods if possible
-							if ( isFunction( this[ match ] ) ) {
-								this[ match ]( context[ match ] );
-
-							// ...and otherwise set as attributes
-							} else {
-								this.attr( match, context[ match ] );
-							}
-						}
-					}
-
-					return this;
-
-				// HANDLE: $(#id)
-				} else {
-					elem = document.getElementById( match[ 2 ] );
-
-					if ( elem ) {
-
-						// Inject the element directly into the jQuery object
-						this[ 0 ] = elem;
-						this.length = 1;
-					}
-					return this;
-				}
-
-			// HANDLE: $(expr, $(...))
-			} else if ( !context || context.jquery ) {
-				return ( context || root ).find( selector );
-
-			// HANDLE: $(expr, context)
-			// (which is just equivalent to: $(context).find(expr)
-			} else {
-				return this.constructor( context ).find( selector );
-			}
-
-		// HANDLE: $(DOMElement)
-		} else if ( selector.nodeType ) {
-			this[ 0 ] = selector;
-			this.length = 1;
-			return this;
-
-		// HANDLE: $(function)
-		// Shortcut for document ready
-		} else if ( isFunction( selector ) ) {
-			return root.ready !== undefined ?
-				root.ready( selector ) :
-
-				// Execute immediately if ready is not present
-				selector( jQuery );
-		}
-
-		return jQuery.makeArray( selector, this );
-	};
-
-// Give the init function the jQuery prototype for later instantiation
-init.prototype = jQuery.fn;
-
-// Initialize central reference
-rootjQuery = jQuery( document );
-
-
-var rparentsprev = /^(?:parents|prev(?:Until|All))/,
-
-	// Methods guaranteed to produce a unique set when starting from a unique set
-	guaranteedUnique = {
-		children: true,
-		contents: true,
-		next: true,
-		prev: true
-	};
-
-jQuery.fn.extend( {
-	has: function( target ) {
-		var targets = jQuery( target, this ),
-			l = targets.length;
-
-		return this.filter( function() {
-			var i = 0;
-			for ( ; i < l; i++ ) {
-				if ( jQuery.contains( this, targets[ i ] ) ) {
-					return true;
-				}
-			}
-		} );
-	},
-
-	closest: function( selectors, context ) {
-		var cur,
-			i = 0,
-			l = this.length,
-			matched = [],
-			targets = typeof selectors !== "string" && jQuery( selectors );
-
-		// Positional selectors never match, since there's no _selection_ context
-		if ( !rneedsContext.test( selectors ) ) {
-			for ( ; i < l; i++ ) {
-				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
-
-					// Always skip document fragments
-					if ( cur.nodeType < 11 && ( targets ?
-						targets.index( cur ) > -1 :
-
-						// Don't pass non-elements to Sizzle
-						cur.nodeType === 1 &&
-							jQuery.find.matchesSelector( cur, selectors ) ) ) {
-
-						matched.push( cur );
-						break;
-					}
-				}
-			}
-		}
-
-		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
-	},
-
-	// Determine the position of an element within the set
-	index: function( elem ) {
-
-		// No argument, return index in parent
-		if ( !elem ) {
-			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
-		}
-
-		// Index in selector
-		if ( typeof elem === "string" ) {
-			return indexOf.call( jQuery( elem ), this[ 0 ] );
-		}
-
-		// Locate the position of the desired element
-		return indexOf.call( this,
-
-			// If it receives a jQuery object, the first element is used
-			elem.jquery ? elem[ 0 ] : elem
-		);
-	},
-
-	add: function( selector, context ) {
-		return this.pushStack(
-			jQuery.uniqueSort(
-				jQuery.merge( this.get(), jQuery( selector, context ) )
-			)
-		);
-	},
-
-	addBack: function( selector ) {
-		return this.add( selector == null ?
-			this.prevObject : this.prevObject.filter( selector )
-		);
-	}
-} );
-
-function sibling( cur, dir ) {
-	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
-	return cur;
-}
-
-jQuery.each( {
-	parent: function( elem ) {
-		var parent = elem.parentNode;
-		return parent && parent.nodeType !== 11 ? parent : null;
-	},
-	parents: function( elem ) {
-		return dir( elem, "parentNode" );
-	},
-	parentsUntil: function( elem, _i, until ) {
-		return dir( elem, "parentNode", until );
-	},
-	next: function( elem ) {
-		return sibling( elem, "nextSibling" );
-	},
-	prev: function( elem ) {
-		return sibling( elem, "previousSibling" );
-	},
-	nextAll: function( elem ) {
-		return dir( elem, "nextSibling" );
-	},
-	prevAll: function( elem ) {
-		return dir( elem, "previousSibling" );
-	},
-	nextUntil: function( elem, _i, until ) {
-		return dir( elem, "nextSibling", until );
-	},
-	prevUntil: function( elem, _i, until ) {
-		return dir( elem, "previousSibling", until );
-	},
-	siblings: function( elem ) {
-		return siblings( ( elem.parentNode || {} ).firstChild, elem );
-	},
-	children: function( elem ) {
-		return siblings( elem.firstChild );
-	},
-	contents: function( elem ) {
-		if ( elem.contentDocument != null &&
-
-			// Support: IE 11+
-			// <object> elements with no `data` attribute has an object
-			// `contentDocument` with a `null` prototype.
-			getProto( elem.contentDocument ) ) {
-
-			return elem.contentDocument;
-		}
-
-		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
-		// Treat the template element as a regular one in browsers that
-		// don't support it.
-		if ( nodeName( elem, "template" ) ) {
-			elem = elem.content || elem;
-		}
-
-		return jQuery.merge( [], elem.childNodes );
-	}
-}, function( name, fn ) {
-	jQuery.fn[ name ] = function( until, selector ) {
-		var matched = jQuery.map( this, fn, until );
-
-		if ( name.slice( -5 ) !== "Until" ) {
-			selector = until;
-		}
-
-		if ( selector && typeof selector === "string" ) {
-			matched = jQuery.filter( selector, matched );
-		}
-
-		if ( this.length > 1 ) {
-
-			// Remove duplicates
-			if ( !guaranteedUnique[ name ] ) {
-				jQuery.uniqueSort( matched );
-			}
-
-			// Reverse order for parents* and prev-derivatives
-			if ( rparentsprev.test( name ) ) {
-				matched.reverse();
-			}
-		}
-
-		return this.pushStack( matched );
-	};
-} );
-var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
-
-
-
-// Convert String-formatted options into Object-formatted ones
-function createOptions( options ) {
-	var object = {};
-	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
-		object[ flag ] = true;
-	} );
-	return object;
-}
-
-/*
- * Create a callback list using the following parameters:
- *
- *	options: an optional list of space-separated options that will change how
- *			the callback list behaves or a more traditional option object
- *
- * By default a callback list will act like an event callback list and can be
- * "fired" multiple times.
- *
- * Possible options:
- *
- *	once:			will ensure the callback list can only be fired once (like a Deferred)
- *
- *	memory:			will keep track of previous values and will call any callback added
- *					after the list has been fired right away with the latest "memorized"
- *					values (like a Deferred)
- *
- *	unique:			will ensure a callback can only be added once (no duplicate in the list)
- *
- *	stopOnFalse:	interrupt callings when a callback returns false
- *
- */
-jQuery.Callbacks = function( options ) {
-
-	// Convert options from String-formatted to Object-formatted if needed
-	// (we check in cache first)
-	options = typeof options === "string" ?
-		createOptions( options ) :
-		jQuery.extend( {}, options );
-
-	var // Flag to know if list is currently firing
-		firing,
-
-		// Last fire value for non-forgettable lists
-		memory,
-
-		// Flag to know if list was already fired
-		fired,
-
-		// Flag to prevent firing
-		locked,
-
-		// Actual callback list
-		list = [],
-
-		// Queue of execution data for repeatable lists
-		queue = [],
-
-		// Index of currently firing callback (modified by add/remove as needed)
-		firingIndex = -1,
-
-		// Fire callbacks
-		fire = function() {
-
-			// Enforce single-firing
-			locked = locked || options.once;
-
-			// Execute callbacks for all pending executions,
-			// respecting firingIndex overrides and runtime changes
-			fired = firing = true;
-			for ( ; queue.length; firingIndex = -1 ) {
-				memory = queue.shift();
-				while ( ++firingIndex < list.length ) {
-
-					// Run callback and check for early termination
-					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
-						options.stopOnFalse ) {
-
-						// Jump to end and forget the data so .add doesn't re-fire
-						firingIndex = list.length;
-						memory = false;
-					}
-				}
-			}
-
-			// Forget the data if we're done with it
-			if ( !options.memory ) {
-				memory = false;
-			}
-
-			firing = false;
-
-			// Clean up if we're done firing for good
-			if ( locked ) {
-
-				// Keep an empty list if we have data for future add calls
-				if ( memory ) {
-					list = [];
-
-				// Otherwise, this object is spent
-				} else {
-					list = "";
-				}
-			}
-		},
-
-		// Actual Callbacks object
-		self = {
-
-			// Add a callback or a collection of callbacks to the list
-			add: function() {
-				if ( list ) {
-
-					// If we have memory from a past run, we should fire after adding
-					if ( memory && !firing ) {
-						firingIndex = list.length - 1;
-						queue.push( memory );
-					}
-
-					( function add( args ) {
-						jQuery.each( args, function( _, arg ) {
-							if ( isFunction( arg ) ) {
-								if ( !options.unique || !self.has( arg ) ) {
-									list.push( arg );
-								}
-							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
-
-								// Inspect recursively
-								add( arg );
-							}
-						} );
-					} )( arguments );
-
-					if ( memory && !firing ) {
-						fire();
-					}
-				}
-				return this;
-			},
-
-			// Remove a callback from the list
-			remove: function() {
-				jQuery.each( arguments, function( _, arg ) {
-					var index;
-					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
-						list.splice( index, 1 );
-
-						// Handle firing indexes
-						if ( index <= firingIndex ) {
-							firingIndex--;
-						}
-					}
-				} );
-				return this;
-			},
-
-			// Check if a given callback is in the list.
-			// If no argument is given, return whether or not list has callbacks attached.
-			has: function( fn ) {
-				return fn ?
-					jQuery.inArray( fn, list ) > -1 :
-					list.length > 0;
-			},
-
-			// Remove all callbacks from the list
-			empty: function() {
-				if ( list ) {
-					list = [];
-				}
-				return this;
-			},
-
-			// Disable .fire and .add
-			// Abort any current/pending executions
-			// Clear all callbacks and values
-			disable: function() {
-				locked = queue = [];
-				list = memory = "";
-				return this;
-			},
-			disabled: function() {
-				return !list;
-			},
-
-			// Disable .fire
-			// Also disable .add unless we have memory (since it would have no effect)
-			// Abort any pending executions
-			lock: function() {
-				locked = queue = [];
-				if ( !memory && !firing ) {
-					list = memory = "";
-				}
-				return this;
-			},
-			locked: function() {
-				return !!locked;
-			},
-
-			// Call all callbacks with the given context and arguments
-			fireWith: function( context, args ) {
-				if ( !locked ) {
-					args = args || [];
-					args = [ context, args.slice ? args.slice() : args ];
-					queue.push( args );
-					if ( !firing ) {
-						fire();
-					}
-				}
-				return this;
-			},
-
-			// Call all the callbacks with the given arguments
-			fire: function() {
-				self.fireWith( this, arguments );
-				return this;
-			},
-
-			// To know if the callbacks have already been called at least once
-			fired: function() {
-				return !!fired;
-			}
-		};
-
-	return self;
-};
-
-
-function Identity( v ) {
-	return v;
-}
-function Thrower( ex ) {
-	throw ex;
-}
-
-function adoptValue( value, resolve, reject, noValue ) {
-	var method;
-
-	try {
-
-		// Check for promise aspect first to privilege synchronous behavior
-		if ( value && isFunction( ( method = value.promise ) ) ) {
-			method.call( value ).done( resolve ).fail( reject );
-
-		// Other thenables
-		} else if ( value && isFunction( ( method = value.then ) ) ) {
-			method.call( value, resolve, reject );
-
-		// Other non-thenables
-		} else {
-
-			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
-			// * false: [ value ].slice( 0 ) => resolve( value )
-			// * true: [ value ].slice( 1 ) => resolve()
-			resolve.apply( undefined, [ value ].slice( noValue ) );
-		}
-
-	// For Promises/A+, convert exceptions into rejections
-	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
-	// Deferred#then to conditionally suppress rejection.
-	} catch ( value ) {
-
-		// Support: Android 4.0 only
-		// Strict mode functions invoked without .call/.apply get global-object context
-		reject.apply( undefined, [ value ] );
-	}
-}
-
-jQuery.extend( {
-
-	Deferred: function( func ) {
-		var tuples = [
-
-				// action, add listener, callbacks,
-				// ... .then handlers, argument index, [final state]
-				[ "notify", "progress", jQuery.Callbacks( "memory" ),
-					jQuery.Callbacks( "memory" ), 2 ],
-				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
-					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
-				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
-					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
-			],
-			state = "pending",
-			promise = {
-				state: function() {
-					return state;
-				},
-				always: function() {
-					deferred.done( arguments ).fail( arguments );
-					return this;
-				},
-				"catch": function( fn ) {
-					return promise.then( null, fn );
-				},
-
-				// Keep pipe for back-compat
-				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
-					var fns = arguments;
-
-					return jQuery.Deferred( function( newDefer ) {
-						jQuery.each( tuples, function( _i, tuple ) {
-
-							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
-							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
-
-							// deferred.progress(function() { bind to newDefer or newDefer.notify })
-							// deferred.done(function() { bind to newDefer or newDefer.resolve })
-							// deferred.fail(function() { bind to newDefer or newDefer.reject })
-							deferred[ tuple[ 1 ] ]( function() {
-								var returned = fn && fn.apply( this, arguments );
-								if ( returned && isFunction( returned.promise ) ) {
-									returned.promise()
-										.progress( newDefer.notify )
-										.done( newDefer.resolve )
-										.fail( newDefer.reject );
-								} else {
-									newDefer[ tuple[ 0 ] + "With" ](
-										this,
-										fn ? [ returned ] : arguments
-									);
-								}
-							} );
-						} );
-						fns = null;
-					} ).promise();
-				},
-				then: function( onFulfilled, onRejected, onProgress ) {
-					var maxDepth = 0;
-					function resolve( depth, deferred, handler, special ) {
-						return function() {
-							var that = this,
-								args = arguments,
-								mightThrow = function() {
-									var returned, then;
-
-									// Support: Promises/A+ section 2.3.3.3.3
-									// https://promisesaplus.com/#point-59
-									// Ignore double-resolution attempts
-									if ( depth < maxDepth ) {
-										return;
-									}
-
-									returned = handler.apply( that, args );
-
-									// Support: Promises/A+ section 2.3.1
-									// https://promisesaplus.com/#point-48
-									if ( returned === deferred.promise() ) {
-										throw new TypeError( "Thenable self-resolution" );
-									}
-
-									// Support: Promises/A+ sections 2.3.3.1, 3.5
-									// https://promisesaplus.com/#point-54
-									// https://promisesaplus.com/#point-75
-									// Retrieve `then` only once
-									then = returned &&
-
-										// Support: Promises/A+ section 2.3.4
-										// https://promisesaplus.com/#point-64
-										// Only check objects and functions for thenability
-										( typeof returned === "object" ||
-											typeof returned === "function" ) &&
-										returned.then;
-
-									// Handle a returned thenable
-									if ( isFunction( then ) ) {
-
-										// Special processors (notify) just wait for resolution
-										if ( special ) {
-											then.call(
-												returned,
-												resolve( maxDepth, deferred, Identity, special ),
-												resolve( maxDepth, deferred, Thrower, special )
-											);
-
-										// Normal processors (resolve) also hook into progress
-										} else {
-
-											// ...and disregard older resolution values
-											maxDepth++;
-
-											then.call(
-												returned,
-												resolve( maxDepth, deferred, Identity, special ),
-												resolve( maxDepth, deferred, Thrower, special ),
-												resolve( maxDepth, deferred, Identity,
-													deferred.notifyWith )
-											);
-										}
-
-									// Handle all other returned values
-									} else {
-
-										// Only substitute handlers pass on context
-										// and multiple values (non-spec behavior)
-										if ( handler !== Identity ) {
-											that = undefined;
-											args = [ returned ];
-										}
-
-										// Process the value(s)
-										// Default process is resolve
-										( special || deferred.resolveWith )( that, args );
-									}
-								},
-
-								// Only normal processors (resolve) catch and reject exceptions
-								process = special ?
-									mightThrow :
-									function() {
-										try {
-											mightThrow();
-										} catch ( e ) {
-
-											if ( jQuery.Deferred.exceptionHook ) {
-												jQuery.Deferred.exceptionHook( e,
-													process.stackTrace );
-											}
-
-											// Support: Promises/A+ section 2.3.3.3.4.1
-											// https://promisesaplus.com/#point-61
-											// Ignore post-resolution exceptions
-											if ( depth + 1 >= maxDepth ) {
-
-												// Only substitute handlers pass on context
-												// and multiple values (non-spec behavior)
-												if ( handler !== Thrower ) {
-													that = undefined;
-													args = [ e ];
-												}
-
-												deferred.rejectWith( that, args );
-											}
-										}
-									};
-
-							// Support: Promises/A+ section 2.3.3.3.1
-							// https://promisesaplus.com/#point-57
-							// Re-resolve promises immediately to dodge false rejection from
-							// subsequent errors
-							if ( depth ) {
-								process();
-							} else {
-
-								// Call an optional hook to record the stack, in case of exception
-								// since it's otherwise lost when execution goes async
-								if ( jQuery.Deferred.getStackHook ) {
-									process.stackTrace = jQuery.Deferred.getStackHook();
-								}
-								window.setTimeout( process );
-							}
-						};
-					}
-
-					return jQuery.Deferred( function( newDefer ) {
-
-						// progress_handlers.add( ... )
-						tuples[ 0 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onProgress ) ?
-									onProgress :
-									Identity,
-								newDefer.notifyWith
-							)
-						);
-
-						// fulfilled_handlers.add( ... )
-						tuples[ 1 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onFulfilled ) ?
-									onFulfilled :
-									Identity
-							)
-						);
-
-						// rejected_handlers.add( ... )
-						tuples[ 2 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onRejected ) ?
-									onRejected :
-									Thrower
-							)
-						);
-					} ).promise();
-				},
-
-				// Get a promise for this deferred
-				// If obj is provided, the promise aspect is added to the object
-				promise: function( obj ) {
-					return obj != null ? jQuery.extend( obj, promise ) : promise;
-				}
-			},
-			deferred = {};
-
-		// Add list-specific methods
-		jQuery.each( tuples, function( i, tuple ) {
-			var list = tuple[ 2 ],
-				stateString = tuple[ 5 ];
-
-			// promise.progress = list.add
-			// promise.done = list.add
-			// promise.fail = list.add
-			promise[ tuple[ 1 ] ] = list.add;
-
-			// Handle state
-			if ( stateString ) {
-				list.add(
-					function() {
-
-						// state = "resolved" (i.e., fulfilled)
-						// state = "rejected"
-						state = stateString;
-					},
-
-					// rejected_callbacks.disable
-					// fulfilled_callbacks.disable
-					tuples[ 3 - i ][ 2 ].disable,
-
-					// rejected_handlers.disable
-					// fulfilled_handlers.disable
-					tuples[ 3 - i ][ 3 ].disable,
-
-					// progress_callbacks.lock
-					tuples[ 0 ][ 2 ].lock,
-
-					// progress_handlers.lock
-					tuples[ 0 ][ 3 ].lock
-				);
-			}
-
-			// progress_handlers.fire
-			// fulfilled_handlers.fire
-			// rejected_handlers.fire
-			list.add( tuple[ 3 ].fire );
-
-			// deferred.notify = function() { deferred.notifyWith(...) }
-			// deferred.resolve = function() { deferred.resolveWith(...) }
-			// deferred.reject = function() { deferred.rejectWith(...) }
-			deferred[ tuple[ 0 ] ] = function() {
-				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
-				return this;
-			};
-
-			// deferred.notifyWith = list.fireWith
-			// deferred.resolveWith = list.fireWith
-			// deferred.rejectWith = list.fireWith
-			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
-		} );
-
-		// Make the deferred a promise
-		promise.promise( deferred );
-
-		// Call given func if any
-		if ( func ) {
-			func.call( deferred, deferred );
-		}
-
-		// All done!
-		return deferred;
-	},
-
-	// Deferred helper
-	when: function( singleValue ) {
-		var
-
-			// count of uncompleted subordinates
-			remaining = arguments.length,
-
-			// count of unprocessed arguments
-			i = remaining,
-
-			// subordinate fulfillment data
-			resolveContexts = Array( i ),
-			resolveValues = slice.call( arguments ),
-
-			// the master Deferred
-			master = jQuery.Deferred(),
-
-			// subordinate callback factory
-			updateFunc = function( i ) {
-				return function( value ) {
-					resolveContexts[ i ] = this;
-					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
-					if ( !( --remaining ) ) {
-						master.resolveWith( resolveContexts, resolveValues );
-					}
-				};
-			};
-
-		// Single- and empty arguments are adopted like Promise.resolve
-		if ( remaining <= 1 ) {
-			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
-				!remaining );
-
-			// Use .then() to unwrap secondary thenables (cf. gh-3000)
-			if ( master.state() === "pending" ||
-				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
-
-				return master.then();
-			}
-		}
-
-		// Multiple arguments are aggregated like Promise.all array elements
-		while ( i-- ) {
-			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
-		}
-
-		return master.promise();
-	}
-} );
-
-
-// These usually indicate a programmer mistake during development,
-// warn about them ASAP rather than swallowing them by default.
-var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
-
-jQuery.Deferred.exceptionHook = function( error, stack ) {
-
-	// Support: IE 8 - 9 only
-	// Console exists when dev tools are open, which can happen at any time
-	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
-		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
-	}
-};
-
-
-
-
-jQuery.readyException = function( error ) {
-	window.setTimeout( function() {
-		throw error;
-	} );
-};
-
-
-
-
-// The deferred used on DOM ready
-var readyList = jQuery.Deferred();
-
-jQuery.fn.ready = function( fn ) {
-
-	readyList
-		.then( fn )
-
-		// Wrap jQuery.readyException in a function so that the lookup
-		// happens at the time of error handling instead of callback
-		// registration.
-		.catch( function( error ) {
-			jQuery.readyException( error );
-		} );
-
-	return this;
-};
-
-jQuery.extend( {
-
-	// Is the DOM ready to be used? Set to true once it occurs.
-	isReady: false,
-
-	// A counter to track how many items to wait for before
-	// the ready event fires. See #6781
-	readyWait: 1,
-
-	// Handle when the DOM is ready
-	ready: function( wait ) {
-
-		// Abort if there are pending holds or we're already ready
-		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
-			return;
-		}
-
-		// Remember that the DOM is ready
-		jQuery.isReady = true;
-
-		// If a normal DOM Ready event fired, decrement, and wait if need be
-		if ( wait !== true && --jQuery.readyWait > 0 ) {
-			return;
-		}
-
-		// If there are functions bound, to execute
-		readyList.resolveWith( document, [ jQuery ] );
-	}
-} );
-
-jQuery.ready.then = readyList.then;
-
-// The ready event handler and self cleanup method
-function completed() {
-	document.removeEventListener( "DOMContentLoaded", completed );
-	window.removeEventListener( "load", completed );
-	jQuery.ready();
-}
-
-// Catch cases where $(document).ready() is called
-// after the browser event has already occurred.
-// Support: IE <=9 - 10 only
-// Older IE sometimes signals "interactive" too soon
-if ( document.readyState === "complete" ||
-	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
-
-	// Handle it asynchronously to allow scripts the opportunity to delay ready
-	window.setTimeout( jQuery.ready );
-
-} else {
-
-	// Use the handy event callback
-	document.addEventListener( "DOMContentLoaded", completed );
-
-	// A fallback to window.onload, that will always work
-	window.addEventListener( "load", completed );
-}
-
-
-
-
-// Multifunctional method to get and set values of a collection
-// The value/s can optionally be executed if it's a function
-var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
-	var i = 0,
-		len = elems.length,
-		bulk = key == null;
-
-	// Sets many values
-	if ( toType( key ) === "object" ) {
-		chainable = true;
-		for ( i in key ) {
-			access( elems, fn, i, key[ i ], true, emptyGet, raw );
-		}
-
-	// Sets one value
-	} else if ( value !== undefined ) {
-		chainable = true;
-
-		if ( !isFunction( value ) ) {
-			raw = true;
-		}
-
-		if ( bulk ) {
-
-			// Bulk operations run against the entire set
-			if ( raw ) {
-				fn.call( elems, value );
-				fn = null;
-
-			// ...except when executing function values
-			} else {
-				bulk = fn;
-				fn = function( elem, _key, value ) {
-					return bulk.call( jQuery( elem ), value );
-				};
-			}
-		}
-
-		if ( fn ) {
-			for ( ; i < len; i++ ) {
-				fn(
-					elems[ i ], key, raw ?
-					value :
-					value.call( elems[ i ], i, fn( elems[ i ], key ) )
-				);
-			}
-		}
-	}
-
-	if ( chainable ) {
-		return elems;
-	}
-
-	// Gets
-	if ( bulk ) {
-		return fn.call( elems );
-	}
-
-	return len ? fn( elems[ 0 ], key ) : emptyGet;
-};
-
-
-// Matches dashed string for camelizing
-var rmsPrefix = /^-ms-/,
-	rdashAlpha = /-([a-z])/g;
-
-// Used by camelCase as callback to replace()
-function fcamelCase( _all, letter ) {
-	return letter.toUpperCase();
-}
-
-// Convert dashed to camelCase; used by the css and data modules
-// Support: IE <=9 - 11, Edge 12 - 15
-// Microsoft forgot to hump their vendor prefix (#9572)
-function camelCase( string ) {
-	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
-}
-var acceptData = function( owner ) {
-
-	// Accepts only:
-	//  - Node
-	//    - Node.ELEMENT_NODE
-	//    - Node.DOCUMENT_NODE
-	//  - Object
-	//    - Any
-	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
-};
-
-
-
-
-function Data() {
-	this.expando = jQuery.expando + Data.uid++;
-}
-
-Data.uid = 1;
-
-Data.prototype = {
-
-	cache: function( owner ) {
-
-		// Check if the owner object already has a cache
-		var value = owner[ this.expando ];
-
-		// If not, create one
-		if ( !value ) {
-			value = {};
-
-			// We can accept data for non-element nodes in modern browsers,
-			// but we should not, see #8335.
-			// Always return an empty object.
-			if ( acceptData( owner ) ) {
-
-				// If it is a node unlikely to be stringify-ed or looped over
-				// use plain assignment
-				if ( owner.nodeType ) {
-					owner[ this.expando ] = value;
-
-				// Otherwise secure it in a non-enumerable property
-				// configurable must be true to allow the property to be
-				// deleted when data is removed
-				} else {
-					Object.defineProperty( owner, this.expando, {
-						value: value,
-						configurable: true
-					} );
-				}
-			}
-		}
-
-		return value;
-	},
-	set: function( owner, data, value ) {
-		var prop,
-			cache = this.cache( owner );
-
-		// Handle: [ owner, key, value ] args
-		// Always use camelCase key (gh-2257)
-		if ( typeof data === "string" ) {
-			cache[ camelCase( data ) ] = value;
-
-		// Handle: [ owner, { properties } ] args
-		} else {
-
-			// Copy the properties one-by-one to the cache object
-			for ( prop in data ) {
-				cache[ camelCase( prop ) ] = data[ prop ];
-			}
-		}
-		return cache;
-	},
-	get: function( owner, key ) {
-		return key === undefined ?
-			this.cache( owner ) :
-
-			// Always use camelCase key (gh-2257)
-			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
-	},
-	access: function( owner, key, value ) {
-
-		// In cases where either:
-		//
-		//   1. No key was specified
-		//   2. A string key was specified, but no value provided
-		//
-		// Take the "read" path and allow the get method to determine
-		// which value to return, respectively either:
-		//
-		//   1. The entire cache object
-		//   2. The data stored at the key
-		//
-		if ( key === undefined ||
-				( ( key && typeof key === "string" ) && value === undefined ) ) {
-
-			return this.get( owner, key );
-		}
-
-		// When the key is not a string, or both a key and value
-		// are specified, set or extend (existing objects) with either:
-		//
-		//   1. An object of properties
-		//   2. A key and value
-		//
-		this.set( owner, key, value );
-
-		// Since the "set" path can have two possible entry points
-		// return the expected data based on which path was taken[*]
-		return value !== undefined ? value : key;
-	},
-	remove: function( owner, key ) {
-		var i,
-			cache = owner[ this.expando ];
-
-		if ( cache === undefined ) {
-			return;
-		}
-
-		if ( key !== undefined ) {
-
-			// Support array or space separated string of keys
-			if ( Array.isArray( key ) ) {
-
-				// If key is an array of keys...
-				// We always set camelCase keys, so remove that.
-				key = key.map( camelCase );
-			} else {
-				key = camelCase( key );
-
-				// If a key with the spaces exists, use it.
-				// Otherwise, create an array by matching non-whitespace
-				key = key in cache ?
-					[ key ] :
-					( key.match( rnothtmlwhite ) || [] );
-			}
-
-			i = key.length;
-
-			while ( i-- ) {
-				delete cache[ key[ i ] ];
-			}
-		}
-
-		// Remove the expando if there's no more data
-		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
-
-			// Support: Chrome <=35 - 45
-			// Webkit & Blink performance suffers when deleting properties
-			// from DOM nodes, so set to undefined instead
-			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
-			if ( owner.nodeType ) {
-				owner[ this.expando ] = undefined;
-			} else {
-				delete owner[ this.expando ];
-			}
-		}
-	},
-	hasData: function( owner ) {
-		var cache = owner[ this.expando ];
-		return cache !== undefined && !jQuery.isEmptyObject( cache );
-	}
-};
-var dataPriv = new Data();
-
-var dataUser = new Data();
-
-
-
-//	Implementation Summary
-//
-//	1. Enforce API surface and semantic compatibility with 1.9.x branch
-//	2. Improve the module's maintainability by reducing the storage
-//		paths to a single mechanism.
-//	3. Use the same single mechanism to support "private" and "user" data.
-//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
-//	5. Avoid exposing implementation details on user objects (eg. expando properties)
-//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
-
-var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
-	rmultiDash = /[A-Z]/g;
-
-function getData( data ) {
-	if ( data === "true" ) {
-		return true;
-	}
-
-	if ( data === "false" ) {
-		return false;
-	}
-
-	if ( data === "null" ) {
-		return null;
-	}
-
-	// Only convert to a number if it doesn't change the string
-	if ( data === +data + "" ) {
-		return +data;
-	}
-
-	if ( rbrace.test( data ) ) {
-		return JSON.parse( data );
-	}
-
-	return data;
-}
-
-function dataAttr( elem, key, data ) {
-	var name;
-
-	// If nothing was found internally, try to fetch any
-	// data from the HTML5 data-* attribute
-	if ( data === undefined && elem.nodeType === 1 ) {
-		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
-		data = elem.getAttribute( name );
-
-		if ( typeof data === "string" ) {
-			try {
-				data = getData( data );
-			} catch ( e ) {}
-
-			// Make sure we set the data so it isn't changed later
-			dataUser.set( elem, key, data );
-		} else {
-			data = undefined;
-		}
-	}
-	return data;
-}
-
-jQuery.extend( {
-	hasData: function( elem ) {
-		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
-	},
-
-	data: function( elem, name, data ) {
-		return dataUser.access( elem, name, data );
-	},
-
-	removeData: function( elem, name ) {
-		dataUser.remove( elem, name );
-	},
-
-	// TODO: Now that all calls to _data and _removeData have been replaced
-	// with direct calls to dataPriv methods, these can be deprecated.
-	_data: function( elem, name, data ) {
-		return dataPriv.access( elem, name, data );
-	},
-
-	_removeData: function( elem, name ) {
-		dataPriv.remove( elem, name );
-	}
-} );
-
-jQuery.fn.extend( {
-	data: function( key, value ) {
-		var i, name, data,
-			elem = this[ 0 ],
-			attrs = elem && elem.attributes;
-
-		// Gets all values
-		if ( key === undefined ) {
-			if ( this.length ) {
-				data = dataUser.get( elem );
-
-				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
-					i = attrs.length;
-					while ( i-- ) {
-
-						// Support: IE 11 only
-						// The attrs elements can be null (#14894)
-						if ( attrs[ i ] ) {
-							name = attrs[ i ].name;
-							if ( name.indexOf( "data-" ) === 0 ) {
-								name = camelCase( name.slice( 5 ) );
-								dataAttr( elem, name, data[ name ] );
-							}
-						}
-					}
-					dataPriv.set( elem, "hasDataAttrs", true );
-				}
-			}
-
-			return data;
-		}
-
-		// Sets multiple values
-		if ( typeof key === "object" ) {
-			return this.each( function() {
-				dataUser.set( this, key );
-			} );
-		}
-
-		return access( this, function( value ) {
-			var data;
-
-			// The calling jQuery object (element matches) is not empty
-			// (and therefore has an element appears at this[ 0 ]) and the
-			// `value` parameter was not undefined. An empty jQuery object
-			// will result in `undefined` for elem = this[ 0 ] which will
-			// throw an exception if an attempt to read a data cache is made.
-			if ( elem && value === undefined ) {
-
-				// Attempt to get data from the cache
-				// The key will always be camelCased in Data
-				data = dataUser.get( elem, key );
-				if ( data !== undefined ) {
-					return data;
-				}
-
-				// Attempt to "discover" the data in
-				// HTML5 custom data-* attrs
-				data = dataAttr( elem, key );
-				if ( data !== undefined ) {
-					return data;
-				}
-
-				// We tried really hard, but the data doesn't exist.
-				return;
-			}
-
-			// Set the data...
-			this.each( function() {
-
-				// We always store the camelCased key
-				dataUser.set( this, key, value );
-			} );
-		}, null, value, arguments.length > 1, null, true );
-	},
-
-	removeData: function( key ) {
-		return this.each( function() {
-			dataUser.remove( this, key );
-		} );
-	}
-} );
-
-
-jQuery.extend( {
-	queue: function( elem, type, data ) {
-		var queue;
-
-		if ( elem ) {
-			type = ( type || "fx" ) + "queue";
-			queue = dataPriv.get( elem, type );
-
-			// Speed up dequeue by getting out quickly if this is just a lookup
-			if ( data ) {
-				if ( !queue || Array.isArray( data ) ) {
-					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
-				} else {
-					queue.push( data );
-				}
-			}
-			return queue || [];
-		}
-	},
-
-	dequeue: function( elem, type ) {
-		type = type || "fx";
-
-		var queue = jQuery.queue( elem, type ),
-			startLength = queue.length,
-			fn = queue.shift(),
-			hooks = jQuery._queueHooks( elem, type ),
-			next = function() {
-				jQuery.dequeue( elem, type );
-			};
-
-		// If the fx queue is dequeued, always remove the progress sentinel
-		if ( fn === "inprogress" ) {
-			fn = queue.shift();
-			startLength--;
-		}
-
-		if ( fn ) {
-
-			// Add a progress sentinel to prevent the fx queue from being
-			// automatically dequeued
-			if ( type === "fx" ) {
-				queue.unshift( "inprogress" );
-			}
-
-			// Clear up the last queue stop function
-			delete hooks.stop;
-			fn.call( elem, next, hooks );
-		}
-
-		if ( !startLength && hooks ) {
-			hooks.empty.fire();
-		}
-	},
-
-	// Not public - generate a queueHooks object, or return the current one
-	_queueHooks: function( elem, type ) {
-		var key = type + "queueHooks";
-		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
-			empty: jQuery.Callbacks( "once memory" ).add( function() {
-				dataPriv.remove( elem, [ type + "queue", key ] );
-			} )
-		} );
-	}
-} );
-
-jQuery.fn.extend( {
-	queue: function( type, data ) {
-		var setter = 2;
-
-		if ( typeof type !== "string" ) {
-			data = type;
-			type = "fx";
-			setter--;
-		}
-
-		if ( arguments.length < setter ) {
-			return jQuery.queue( this[ 0 ], type );
-		}
-
-		return data === undefined ?
-			this :
-			this.each( function() {
-				var queue = jQuery.queue( this, type, data );
-
-				// Ensure a hooks for this queue
-				jQuery._queueHooks( this, type );
-
-				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
-					jQuery.dequeue( this, type );
-				}
-			} );
-	},
-	dequeue: function( type ) {
-		return this.each( function() {
-			jQuery.dequeue( this, type );
-		} );
-	},
-	clearQueue: function( type ) {
-		return this.queue( type || "fx", [] );
-	},
-
-	// Get a promise resolved when queues of a certain type
-	// are emptied (fx is the type by default)
-	promise: function( type, obj ) {
-		var tmp,
-			count = 1,
-			defer = jQuery.Deferred(),
-			elements = this,
-			i = this.length,
-			resolve = function() {
-				if ( !( --count ) ) {
-					defer.resolveWith( elements, [ elements ] );
-				}
-			};
-
-		if ( typeof type !== "string" ) {
-			obj = type;
-			type = undefined;
-		}
-		type = type || "fx";
-
-		while ( i-- ) {
-			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
-			if ( tmp && tmp.empty ) {
-				count++;
-				tmp.empty.add( resolve );
-			}
-		}
-		resolve();
-		return defer.promise( obj );
-	}
-} );
-var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
-
-var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
-
-
-var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
-
-var documentElement = document.documentElement;
-
-
-
-	var isAttached = function( elem ) {
-			return jQuery.contains( elem.ownerDocument, elem );
-		},
-		composed = { composed: true };
-
-	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
-	// Check attachment across shadow DOM boundaries when possible (gh-3504)
-	// Support: iOS 10.0-10.2 only
-	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
-	// leading to errors. We need to check for `getRootNode`.
-	if ( documentElement.getRootNode ) {
-		isAttached = function( elem ) {
-			return jQuery.contains( elem.ownerDocument, elem ) ||
-				elem.getRootNode( composed ) === elem.ownerDocument;
-		};
-	}
-var isHiddenWithinTree = function( elem, el ) {
-
-		// isHiddenWithinTree might be called from jQuery#filter function;
-		// in that case, element will be second argument
-		elem = el || elem;
-
-		// Inline style trumps all
-		return elem.style.display === "none" ||
-			elem.style.display === "" &&
-
-			// Otherwise, check computed style
-			// Support: Firefox <=43 - 45
-			// Disconnected elements can have computed display: none, so first confirm that elem is
-			// in the document.
-			isAttached( elem ) &&
-
-			jQuery.css( elem, "display" ) === "none";
-	};
-
-
-
-function adjustCSS( elem, prop, valueParts, tween ) {
-	var adjusted, scale,
-		maxIterations = 20,
-		currentValue = tween ?
-			function() {
-				return tween.cur();
-			} :
-			function() {
-				return jQuery.css( elem, prop, "" );
-			},
-		initial = currentValue(),
-		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
-
-		// Starting value computation is required for potential unit mismatches
-		initialInUnit = elem.nodeType &&
-			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
-			rcssNum.exec( jQuery.css( elem, prop ) );
-
-	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
-
-		// Support: Firefox <=54
-		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
-		initial = initial / 2;
-
-		// Trust units reported by jQuery.css
-		unit = unit || initialInUnit[ 3 ];
-
-		// Iteratively approximate from a nonzero starting point
-		initialInUnit = +initial || 1;
-
-		while ( maxIterations-- ) {
-
-			// Evaluate and update our best guess (doubling guesses that zero out).
-			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
-			jQuery.style( elem, prop, initialInUnit + unit );
-			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
-				maxIterations = 0;
-			}
-			initialInUnit = initialInUnit / scale;
-
-		}
-
-		initialInUnit = initialInUnit * 2;
-		jQuery.style( elem, prop, initialInUnit + unit );
-
-		// Make sure we update the tween properties later on
-		valueParts = valueParts || [];
-	}
-
-	if ( valueParts ) {
-		initialInUnit = +initialInUnit || +initial || 0;
-
-		// Apply relative offset (+=/-=) if specified
-		adjusted = valueParts[ 1 ] ?
-			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
-			+valueParts[ 2 ];
-		if ( tween ) {
-			tween.unit = unit;
-			tween.start = initialInUnit;
-			tween.end = adjusted;
-		}
-	}
-	return adjusted;
-}
-
-
-var defaultDisplayMap = {};
-
-function getDefaultDisplay( elem ) {
-	var temp,
-		doc = elem.ownerDocument,
-		nodeName = elem.nodeName,
-		display = defaultDisplayMap[ nodeName ];
-
-	if ( display ) {
-		return display;
-	}
-
-	temp = doc.body.appendChild( doc.createElement( nodeName ) );
-	display = jQuery.css( temp, "display" );
-
-	temp.parentNode.removeChild( temp );
-
-	if ( display === "none" ) {
-		display = "block";
-	}
-	defaultDisplayMap[ nodeName ] = display;
-
-	return display;
-}
-
-function showHide( elements, show ) {
-	var display, elem,
-		values = [],
-		index = 0,
-		length = elements.length;
-
-	// Determine new display value for elements that need to change
-	for ( ; index < length; index++ ) {
-		elem = elements[ index ];
-		if ( !elem.style ) {
-			continue;
-		}
-
-		display = elem.style.display;
-		if ( show ) {
-
-			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
-			// check is required in this first loop unless we have a nonempty display value (either
-			// inline or about-to-be-restored)
-			if ( display === "none" ) {
-				values[ index ] = dataPriv.get( elem, "display" ) || null;
-				if ( !values[ index ] ) {
-					elem.style.display = "";
-				}
-			}
-			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
-				values[ index ] = getDefaultDisplay( elem );
-			}
-		} else {
-			if ( display !== "none" ) {
-				values[ index ] = "none";
-
-				// Remember what we're overwriting
-				dataPriv.set( elem, "display", display );
-			}
-		}
-	}
-
-	// Set the display of the elements in a second loop to avoid constant reflow
-	for ( index = 0; index < length; index++ ) {
-		if ( values[ index ] != null ) {
-			elements[ index ].style.display = values[ index ];
-		}
-	}
-
-	return elements;
-}
-
-jQuery.fn.extend( {
-	show: function() {
-		return showHide( this, true );
-	},
-	hide: function() {
-		return showHide( this );
-	},
-	toggle: function( state ) {
-		if ( typeof state === "boolean" ) {
-			return state ? this.show() : this.hide();
-		}
-
-		return this.each( function() {
-			if ( isHiddenWithinTree( this ) ) {
-				jQuery( this ).show();
-			} else {
-				jQuery( this ).hide();
-			}
-		} );
-	}
-} );
-var rcheckableType = ( /^(?:checkbox|radio)$/i );
-
-var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
-
-var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
-
-
-
-( function() {
-	var fragment = document.createDocumentFragment(),
-		div = fragment.appendChild( document.createElement( "div" ) ),
-		input = document.createElement( "input" );
-
-	// Support: Android 4.0 - 4.3 only
-	// Check state lost if the name is set (#11217)
-	// Support: Windows Web Apps (WWA)
-	// `name` and `type` must use .setAttribute for WWA (#14901)
-	input.setAttribute( "type", "radio" );
-	input.setAttribute( "checked", "checked" );
-	input.setAttribute( "name", "t" );
-
-	div.appendChild( input );
-
-	// Support: Android <=4.1 only
-	// Older WebKit doesn't clone checked state correctly in fragments
-	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
-
-	// Support: IE <=11 only
-	// Make sure textarea (and checkbox) defaultValue is properly cloned
-	div.innerHTML = "<textarea>x</textarea>";
-	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
-
-	// Support: IE <=9 only
-	// IE <=9 replaces <option> tags with their contents when inserted outside of
-	// the select element.
-	div.innerHTML = "<option></option>";
-	support.option = !!div.lastChild;
-} )();
-
-
-// We have to close these tags to support XHTML (#13200)
-var wrapMap = {
-
-	// XHTML parsers do not magically insert elements in the
-	// same way that tag soup parsers do. So we cannot shorten
-	// this by omitting <tbody> or other required elements.
-	thead: [ 1, "<table>", "</table>" ],
-	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
-	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
-	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
-
-	_default: [ 0, "", "" ]
-};
-
-wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
-wrapMap.th = wrapMap.td;
-
-// Support: IE <=9 only
-if ( !support.option ) {
-	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
-}
-
-
-function getAll( context, tag ) {
-
-	// Support: IE <=9 - 11 only
-	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
-	var ret;
-
-	if ( typeof context.getElementsByTagName !== "undefined" ) {
-		ret = context.getElementsByTagName( tag || "*" );
-
-	} else if ( typeof context.querySelectorAll !== "undefined" ) {
-		ret = context.querySelectorAll( tag || "*" );
-
-	} else {
-		ret = [];
-	}
-
-	if ( tag === undefined || tag && nodeName( context, tag ) ) {
-		return jQuery.merge( [ context ], ret );
-	}
-
-	return ret;
-}
-
-
-// Mark scripts as having already been evaluated
-function setGlobalEval( elems, refElements ) {
-	var i = 0,
-		l = elems.length;
-
-	for ( ; i < l; i++ ) {
-		dataPriv.set(
-			elems[ i ],
-			"globalEval",
-			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
-		);
-	}
-}
-
-
-var rhtml = /<|&#?\w+;/;
-
-function buildFragment( elems, context, scripts, selection, ignored ) {
-	var elem, tmp, tag, wrap, attached, j,
-		fragment = context.createDocumentFragment(),
-		nodes = [],
-		i = 0,
-		l = elems.length;
-
-	for ( ; i < l; i++ ) {
-		elem = elems[ i ];
-
-		if ( elem || elem === 0 ) {
-
-			// Add nodes directly
-			if ( toType( elem ) === "object" ) {
-
-				// Support: Android <=4.0 only, PhantomJS 1 only
-				// push.apply(_, arraylike) throws on ancient WebKit
-				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
-
-			// Convert non-html into a text node
-			} else if ( !rhtml.test( elem ) ) {
-				nodes.push( context.createTextNode( elem ) );
-
-			// Convert html into DOM nodes
-			} else {
-				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
-
-				// Deserialize a standard representation
-				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
-				wrap = wrapMap[ tag ] || wrapMap._default;
-				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
-
-				// Descend through wrappers to the right content
-				j = wrap[ 0 ];
-				while ( j-- ) {
-					tmp = tmp.lastChild;
-				}
-
-				// Support: Android <=4.0 only, PhantomJS 1 only
-				// push.apply(_, arraylike) throws on ancient WebKit
-				jQuery.merge( nodes, tmp.childNodes );
-
-				// Remember the top-level container
-				tmp = fragment.firstChild;
-
-				// Ensure the created nodes are orphaned (#12392)
-				tmp.textContent = "";
-			}
-		}
-	}
-
-	// Remove wrapper from fragment
-	fragment.textContent = "";
-
-	i = 0;
-	while ( ( elem = nodes[ i++ ] ) ) {
-
-		// Skip elements already in the context collection (trac-4087)
-		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
-			if ( ignored ) {
-				ignored.push( elem );
-			}
-			continue;
-		}
-
-		attached = isAttached( elem );
-
-		// Append to fragment
-		tmp = getAll( fragment.appendChild( elem ), "script" );
-
-		// Preserve script evaluation history
-		if ( attached ) {
-			setGlobalEval( tmp );
-		}
-
-		// Capture executables
-		if ( scripts ) {
-			j = 0;
-			while ( ( elem = tmp[ j++ ] ) ) {
-				if ( rscriptType.test( elem.type || "" ) ) {
-					scripts.push( elem );
-				}
-			}
-		}
-	}
-
-	return fragment;
-}
-
-
-var
-	rkeyEvent = /^key/,
-	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
-	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
-
-function returnTrue() {
-	return true;
-}
-
-function returnFalse() {
-	return false;
-}
-
-// Support: IE <=9 - 11+
-// focus() and blur() are asynchronous, except when they are no-op.
-// So expect focus to be synchronous when the element is already active,
-// and blur to be synchronous when the element is not already active.
-// (focus and blur are always synchronous in other supported browsers,
-// this just defines when we can count on it).
-function expectSync( elem, type ) {
-	return ( elem === safeActiveElement() ) === ( type === "focus" );
-}
-
-// Support: IE <=9 only
-// Accessing document.activeElement can throw unexpectedly
-// https://bugs.jquery.com/ticket/13393
-function safeActiveElement() {
-	try {
-		return document.activeElement;
-	} catch ( err ) { }
-}
-
-function on( elem, types, selector, data, fn, one ) {
-	var origFn, type;
-
-	// Types can be a map of types/handlers
-	if ( typeof types === "object" ) {
-
-		// ( types-Object, selector, data )
-		if ( typeof selector !== "string" ) {
-
-			// ( types-Object, data )
-			data = data || selector;
-			selector = undefined;
-		}
-		for ( type in types ) {
-			on( elem, type, selector, data, types[ type ], one );
-		}
-		return elem;
-	}
-
-	if ( data == null && fn == null ) {
-
-		// ( types, fn )
-		fn = selector;
-		data = selector = undefined;
-	} else if ( fn == null ) {
-		if ( typeof selector === "string" ) {
-
-			// ( types, selector, fn )
-			fn = data;
-			data = undefined;
-		} else {
-
-			// ( types, data, fn )
-			fn = data;
-			data = selector;
-			selector = undefined;
-		}
-	}
-	if ( fn === false ) {
-		fn = returnFalse;
-	} else if ( !fn ) {
-		return elem;
-	}
-
-	if ( one === 1 ) {
-		origFn = fn;
-		fn = function( event ) {
-
-			// Can use an empty set, since event contains the info
-			jQuery().off( event );
-			return origFn.apply( this, arguments );
-		};
-
-		// Use same guid so caller can remove using origFn
-		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
-	}
-	return elem.each( function() {
-		jQuery.event.add( this, types, fn, data, selector );
-	} );
-}
-
-/*
- * Helper functions for managing events -- not part of the public interface.
- * Props to Dean Edwards' addEvent library for many of the ideas.
- */
-jQuery.event = {
-
-	global: {},
-
-	add: function( elem, types, handler, data, selector ) {
-
-		var handleObjIn, eventHandle, tmp,
-			events, t, handleObj,
-			special, handlers, type, namespaces, origType,
-			elemData = dataPriv.get( elem );
-
-		// Only attach events to objects that accept data
-		if ( !acceptData( elem ) ) {
-			return;
-		}
-
-		// Caller can pass in an object of custom data in lieu of the handler
-		if ( handler.handler ) {
-			handleObjIn = handler;
-			handler = handleObjIn.handler;
-			selector = handleObjIn.selector;
-		}
-
-		// Ensure that invalid selectors throw exceptions at attach time
-		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
-		if ( selector ) {
-			jQuery.find.matchesSelector( documentElement, selector );
-		}
-
-		// Make sure that the handler has a unique ID, used to find/remove it later
-		if ( !handler.guid ) {
-			handler.guid = jQuery.guid++;
-		}
-
-		// Init the element's event structure and main handler, if this is the first
-		if ( !( events = elemData.events ) ) {
-			events = elemData.events = Object.create( null );
-		}
-		if ( !( eventHandle = elemData.handle ) ) {
-			eventHandle = elemData.handle = function( e ) {
-
-				// Discard the second event of a jQuery.event.trigger() and
-				// when an event is called after a page has unloaded
-				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
-					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
-			};
-		}
-
-		// Handle multiple events separated by a space
-		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
-		t = types.length;
-		while ( t-- ) {
-			tmp = rtypenamespace.exec( types[ t ] ) || [];
-			type = origType = tmp[ 1 ];
-			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
-			// There *must* be a type, no attaching namespace-only handlers
-			if ( !type ) {
-				continue;
-			}
-
-			// If event changes its type, use the special event handlers for the changed type
-			special = jQuery.event.special[ type ] || {};
-
-			// If selector defined, determine special event api type, otherwise given type
-			type = ( selector ? special.delegateType : special.bindType ) || type;
-
-			// Update special based on newly reset type
-			special = jQuery.event.special[ type ] || {};
-
-			// handleObj is passed to all event handlers
-			handleObj = jQuery.extend( {
-				type: type,
-				origType: origType,
-				data: data,
-				handler: handler,
-				guid: handler.guid,
-				selector: selector,
-				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
-				namespace: namespaces.join( "." )
-			}, handleObjIn );
-
-			// Init the event handler queue if we're the first
-			if ( !( handlers = events[ type ] ) ) {
-				handlers = events[ type ] = [];
-				handlers.delegateCount = 0;
-
-				// Only use addEventListener if the special events handler returns false
-				if ( !special.setup ||
-					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
-
-					if ( elem.addEventListener ) {
-						elem.addEventListener( type, eventHandle );
-					}
-				}
-			}
-
-			if ( special.add ) {
-				special.add.call( elem, handleObj );
-
-				if ( !handleObj.handler.guid ) {
-					handleObj.handler.guid = handler.guid;
-				}
-			}
-
-			// Add to the element's handler list, delegates in front
-			if ( selector ) {
-				handlers.splice( handlers.delegateCount++, 0, handleObj );
-			} else {
-				handlers.push( handleObj );
-			}
-
-			// Keep track of which events have ever been used, for event optimization
-			jQuery.event.global[ type ] = true;
-		}
-
-	},
-
-	// Detach an event or set of events from an element
-	remove: function( elem, types, handler, selector, mappedTypes ) {
-
-		var j, origCount, tmp,
-			events, t, handleObj,
-			special, handlers, type, namespaces, origType,
-			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
-
-		if ( !elemData || !( events = elemData.events ) ) {
-			return;
-		}
-
-		// Once for each type.namespace in types; type may be omitted
-		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
-		t = types.length;
-		while ( t-- ) {
-			tmp = rtypenamespace.exec( types[ t ] ) || [];
-			type = origType = tmp[ 1 ];
-			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
-			// Unbind all events (on this namespace, if provided) for the element
-			if ( !type ) {
-				for ( type in events ) {
-					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
-				}
-				continue;
-			}
-
-			special = jQuery.event.special[ type ] || {};
-			type = ( selector ? special.delegateType : special.bindType ) || type;
-			handlers = events[ type ] || [];
-			tmp = tmp[ 2 ] &&
-				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
-
-			// Remove matching events
-			origCount = j = handlers.length;
-			while ( j-- ) {
-				handleObj = handlers[ j ];
-
-				if ( ( mappedTypes || origType === handleObj.origType ) &&
-					( !handler || handler.guid === handleObj.guid ) &&
-					( !tmp || tmp.test( handleObj.namespace ) ) &&
-					( !selector || selector === handleObj.selector ||
-						selector === "**" && handleObj.selector ) ) {
-					handlers.splice( j, 1 );
-
-					if ( handleObj.selector ) {
-						handlers.delegateCount--;
-					}
-					if ( special.remove ) {
-						special.remove.call( elem, handleObj );
-					}
-				}
-			}
-
-			// Remove generic event handler if we removed something and no more handlers exist
-			// (avoids potential for endless recursion during removal of special event handlers)
-			if ( origCount && !handlers.length ) {
-				if ( !special.teardown ||
-					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
-
-					jQuery.removeEvent( elem, type, elemData.handle );
-				}
-
-				delete events[ type ];
-			}
-		}
-
-		// Remove data and the expando if it's no longer used
-		if ( jQuery.isEmptyObject( events ) ) {
-			dataPriv.remove( elem, "handle events" );
-		}
-	},
-
-	dispatch: function( nativeEvent ) {
-
-		var i, j, ret, matched, handleObj, handlerQueue,
-			args = new Array( arguments.length ),
-
-			// Make a writable jQuery.Event from the native event object
-			event = jQuery.event.fix( nativeEvent ),
-
-			handlers = (
-					dataPriv.get( this, "events" ) || Object.create( null )
-				)[ event.type ] || [],
-			special = jQuery.event.special[ event.type ] || {};
-
-		// Use the fix-ed jQuery.Event rather than the (read-only) native event
-		args[ 0 ] = event;
-
-		for ( i = 1; i < arguments.length; i++ ) {
-			args[ i ] = arguments[ i ];
-		}
-
-		event.delegateTarget = this;
-
-		// Call the preDispatch hook for the mapped type, and let it bail if desired
-		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
-			return;
-		}
-
-		// Determine handlers
-		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
-
-		// Run delegates first; they may want to stop propagation beneath us
-		i = 0;
-		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
-			event.currentTarget = matched.elem;
-
-			j = 0;
-			while ( ( handleObj = matched.handlers[ j++ ] ) &&
-				!event.isImmediatePropagationStopped() ) {
-
-				// If the event is namespaced, then each handler is only invoked if it is
-				// specially universal or its namespaces are a superset of the event's.
-				if ( !event.rnamespace || handleObj.namespace === false ||
-					event.rnamespace.test( handleObj.namespace ) ) {
-
-					event.handleObj = handleObj;
-					event.data = handleObj.data;
-
-					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
-						handleObj.handler ).apply( matched.elem, args );
-
-					if ( ret !== undefined ) {
-						if ( ( event.result = ret ) === false ) {
-							event.preventDefault();
-							event.stopPropagation();
-						}
-					}
-				}
-			}
-		}
-
-		// Call the postDispatch hook for the mapped type
-		if ( special.postDispatch ) {
-			special.postDispatch.call( this, event );
-		}
-
-		return event.result;
-	},
-
-	handlers: function( event, handlers ) {
-		var i, handleObj, sel, matchedHandlers, matchedSelectors,
-			handlerQueue = [],
-			delegateCount = handlers.delegateCount,
-			cur = event.target;
-
-		// Find delegate handlers
-		if ( delegateCount &&
-
-			// Support: IE <=9
-			// Black-hole SVG <use> instance trees (trac-13180)
-			cur.nodeType &&
-
-			// Support: Firefox <=42
-			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
-			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
-			// Support: IE 11 only
-			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
-			!( event.type === "click" && event.button >= 1 ) ) {
-
-			for ( ; cur !== this; cur = cur.parentNode || this ) {
-
-				// Don't check non-elements (#13208)
-				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
-				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
-					matchedHandlers = [];
-					matchedSelectors = {};
-					for ( i = 0; i < delegateCount; i++ ) {
-						handleObj = handlers[ i ];
-
-						// Don't conflict with Object.prototype properties (#13203)
-						sel = handleObj.selector + " ";
-
-						if ( matchedSelectors[ sel ] === undefined ) {
-							matchedSelectors[ sel ] = handleObj.needsContext ?
-								jQuery( sel, this ).index( cur ) > -1 :
-								jQuery.find( sel, this, null, [ cur ] ).length;
-						}
-						if ( matchedSelectors[ sel ] ) {
-							matchedHandlers.push( handleObj );
-						}
-					}
-					if ( matchedHandlers.length ) {
-						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
-					}
-				}
-			}
-		}
-
-		// Add the remaining (directly-bound) handlers
-		cur = this;
-		if ( delegateCount < handlers.length ) {
-			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
-		}
-
-		return handlerQueue;
-	},
-
-	addProp: function( name, hook ) {
-		Object.defineProperty( jQuery.Event.prototype, name, {
-			enumerable: true,
-			configurable: true,
-
-			get: isFunction( hook ) ?
-				function() {
-					if ( this.originalEvent ) {
-							return hook( this.originalEvent );
-					}
-				} :
-				function() {
-					if ( this.originalEvent ) {
-							return this.originalEvent[ name ];
-					}
-				},
-
-			set: function( value ) {
-				Object.defineProperty( this, name, {
-					enumerable: true,
-					configurable: true,
-					writable: true,
-					value: value
-				} );
-			}
-		} );
-	},
-
-	fix: function( originalEvent ) {
-		return originalEvent[ jQuery.expando ] ?
-			originalEvent :
-			new jQuery.Event( originalEvent );
-	},
-
-	special: {
-		load: {
-
-			// Prevent triggered image.load events from bubbling to window.load
-			noBubble: true
-		},
-		click: {
-
-			// Utilize native event to ensure correct state for checkable inputs
-			setup: function( data ) {
-
-				// For mutual compressibility with _default, replace `this` access with a local var.
-				// `|| data` is dead code meant only to preserve the variable through minification.
-				var el = this || data;
-
-				// Claim the first handler
-				if ( rcheckableType.test( el.type ) &&
-					el.click && nodeName( el, "input" ) ) {
-
-					// dataPriv.set( el, "click", ... )
-					leverageNative( el, "click", returnTrue );
-				}
-
-				// Return false to allow normal processing in the caller
-				return false;
-			},
-			trigger: function( data ) {
-
-				// For mutual compressibility with _default, replace `this` access with a local var.
-				// `|| data` is dead code meant only to preserve the variable through minification.
-				var el = this || data;
-
-				// Force setup before triggering a click
-				if ( rcheckableType.test( el.type ) &&
-					el.click && nodeName( el, "input" ) ) {
-
-					leverageNative( el, "click" );
-				}
-
-				// Return non-false to allow normal event-path propagation
-				return true;
-			},
-
-			// For cross-browser consistency, suppress native .click() on links
-			// Also prevent it if we're currently inside a leveraged native-event stack
-			_default: function( event ) {
-				var target = event.target;
-				return rcheckableType.test( target.type ) &&
-					target.click && nodeName( target, "input" ) &&
-					dataPriv.get( target, "click" ) ||
-					nodeName( target, "a" );
-			}
-		},
-
-		beforeunload: {
-			postDispatch: function( event ) {
-
-				// Support: Firefox 20+
-				// Firefox doesn't alert if the returnValue field is not set.
-				if ( event.result !== undefined && event.originalEvent ) {
-					event.originalEvent.returnValue = event.result;
-				}
-			}
-		}
-	}
-};
-
-// Ensure the presence of an event listener that handles manually-triggered
-// synthetic events by interrupting progress until reinvoked in response to
-// *native* events that it fires directly, ensuring that state changes have
-// already occurred before other listeners are invoked.
-function leverageNative( el, type, expectSync ) {
-
-	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
-	if ( !expectSync ) {
-		if ( dataPriv.get( el, type ) === undefined ) {
-			jQuery.event.add( el, type, returnTrue );
-		}
-		return;
-	}
-
-	// Register the controller as a special universal handler for all event namespaces
-	dataPriv.set( el, type, false );
-	jQuery.event.add( el, type, {
-		namespace: false,
-		handler: function( event ) {
-			var notAsync, result,
-				saved = dataPriv.get( this, type );
-
-			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
-
-				// Interrupt processing of the outer synthetic .trigger()ed event
-				// Saved data should be false in such cases, but might be a leftover capture object
-				// from an async native handler (gh-4350)
-				if ( !saved.length ) {
-
-					// Store arguments for use when handling the inner native event
-					// There will always be at least one argument (an event object), so this array
-					// will not be confused with a leftover capture object.
-					saved = slice.call( arguments );
-					dataPriv.set( this, type, saved );
-
-					// Trigger the native event and capture its result
-					// Support: IE <=9 - 11+
-					// focus() and blur() are asynchronous
-					notAsync = expectSync( this, type );
-					this[ type ]();
-					result = dataPriv.get( this, type );
-					if ( saved !== result || notAsync ) {
-						dataPriv.set( this, type, false );
-					} else {
-						result = {};
-					}
-					if ( saved !== result ) {
-
-						// Cancel the outer synthetic event
-						event.stopImmediatePropagation();
-						event.preventDefault();
-						return result.value;
-					}
-
-				// If this is an inner synthetic event for an event with a bubbling surrogate
-				// (focus or blur), assume that the surrogate already propagated from triggering the
-				// native event and prevent that from happening again here.
-				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
-				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
-				// less bad than duplication.
-				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
-					event.stopPropagation();
-				}
-
-			// If this is a native event triggered above, everything is now in order
-			// Fire an inner synthetic event with the original arguments
-			} else if ( saved.length ) {
-
-				// ...and capture the result
-				dataPriv.set( this, type, {
-					value: jQuery.event.trigger(
-
-						// Support: IE <=9 - 11+
-						// Extend with the prototype to reset the above stopImmediatePropagation()
-						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
-						saved.slice( 1 ),
-						this
-					)
-				} );
-
-				// Abort handling of the native event
-				event.stopImmediatePropagation();
-			}
-		}
-	} );
-}
-
-jQuery.removeEvent = function( elem, type, handle ) {
-
-	// This "if" is needed for plain objects
-	if ( elem.removeEventListener ) {
-		elem.removeEventListener( type, handle );
-	}
-};
-
-jQuery.Event = function( src, props ) {
-
-	// Allow instantiation without the 'new' keyword
-	if ( !( this instanceof jQuery.Event ) ) {
-		return new jQuery.Event( src, props );
-	}
-
-	// Event object
-	if ( src && src.type ) {
-		this.originalEvent = src;
-		this.type = src.type;
-
-		// Events bubbling up the document may have been marked as prevented
-		// by a handler lower down the tree; reflect the correct value.
-		this.isDefaultPrevented = src.defaultPrevented ||
-				src.defaultPrevented === undefined &&
-
-				// Support: Android <=2.3 only
-				src.returnValue === false ?
-			returnTrue :
-			returnFalse;
-
-		// Create target properties
-		// Support: Safari <=6 - 7 only
-		// Target should not be a text node (#504, #13143)
-		this.target = ( src.target && src.target.nodeType === 3 ) ?
-			src.target.parentNode :
-			src.target;
-
-		this.currentTarget = src.currentTarget;
-		this.relatedTarget = src.relatedTarget;
-
-	// Event type
-	} else {
-		this.type = src;
-	}
-
-	// Put explicitly provided properties onto the event object
-	if ( props ) {
-		jQuery.extend( this, props );
-	}
-
-	// Create a timestamp if incoming event doesn't have one
-	this.timeStamp = src && src.timeStamp || Date.now();
-
-	// Mark it as fixed
-	this[ jQuery.expando ] = true;
-};
-
-// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
-// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
-jQuery.Event.prototype = {
-	constructor: jQuery.Event,
-	isDefaultPrevented: returnFalse,
-	isPropagationStopped: returnFalse,
-	isImmediatePropagationStopped: returnFalse,
-	isSimulated: false,
-
-	preventDefault: function() {
-		var e = this.originalEvent;
-
-		this.isDefaultPrevented = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.preventDefault();
-		}
-	},
-	stopPropagation: function() {
-		var e = this.originalEvent;
-
-		this.isPropagationStopped = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.stopPropagation();
-		}
-	},
-	stopImmediatePropagation: function() {
-		var e = this.originalEvent;
-
-		this.isImmediatePropagationStopped = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.stopImmediatePropagation();
-		}
-
-		this.stopPropagation();
-	}
-};
-
-// Includes all common event props including KeyEvent and MouseEvent specific props
-jQuery.each( {
-	altKey: true,
-	bubbles: true,
-	cancelable: true,
-	changedTouches: true,
-	ctrlKey: true,
-	detail: true,
-	eventPhase: true,
-	metaKey: true,
-	pageX: true,
-	pageY: true,
-	shiftKey: true,
-	view: true,
-	"char": true,
-	code: true,
-	charCode: true,
-	key: true,
-	keyCode: true,
-	button: true,
-	buttons: true,
-	clientX: true,
-	clientY: true,
-	offsetX: true,
-	offsetY: true,
-	pointerId: true,
-	pointerType: true,
-	screenX: true,
-	screenY: true,
-	targetTouches: true,
-	toElement: true,
-	touches: true,
-
-	which: function( event ) {
-		var button = event.button;
-
-		// Add which for key events
-		if ( event.which == null && rkeyEvent.test( event.type ) ) {
-			return event.charCode != null ? event.charCode : event.keyCode;
-		}
-
-		// Add which for click: 1 === left; 2 === middle; 3 === right
-		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
-			if ( button & 1 ) {
-				return 1;
-			}
-
-			if ( button & 2 ) {
-				return 3;
-			}
-
-			if ( button & 4 ) {
-				return 2;
-			}
-
-			return 0;
-		}
-
-		return event.which;
-	}
-}, jQuery.event.addProp );
-
-jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
-	jQuery.event.special[ type ] = {
-
-		// Utilize native event if possible so blur/focus sequence is correct
-		setup: function() {
-
-			// Claim the first handler
-			// dataPriv.set( this, "focus", ... )
-			// dataPriv.set( this, "blur", ... )
-			leverageNative( this, type, expectSync );
-
-			// Return false to allow normal processing in the caller
-			return false;
-		},
-		trigger: function() {
-
-			// Force setup before trigger
-			leverageNative( this, type );
-
-			// Return non-false to allow normal event-path propagation
-			return true;
-		},
-
-		delegateType: delegateType
-	};
-} );
-
-// Create mouseenter/leave events using mouseover/out and event-time checks
-// so that event delegation works in jQuery.
-// Do the same for pointerenter/pointerleave and pointerover/pointerout
-//
-// Support: Safari 7 only
-// Safari sends mouseenter too often; see:
-// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
-// for the description of the bug (it existed in older Chrome versions as well).
-jQuery.each( {
-	mouseenter: "mouseover",
-	mouseleave: "mouseout",
-	pointerenter: "pointerover",
-	pointerleave: "pointerout"
-}, function( orig, fix ) {
-	jQuery.event.special[ orig ] = {
-		delegateType: fix,
-		bindType: fix,
-
-		handle: function( event ) {
-			var ret,
-				target = this,
-				related = event.relatedTarget,
-				handleObj = event.handleObj;
-
-			// For mouseenter/leave call the handler if related is outside the target.
-			// NB: No relatedTarget if the mouse left/entered the browser window
-			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
-				event.type = handleObj.origType;
-				ret = handleObj.handler.apply( this, arguments );
-				event.type = fix;
-			}
-			return ret;
-		}
-	};
-} );
-
-jQuery.fn.extend( {
-
-	on: function( types, selector, data, fn ) {
-		return on( this, types, selector, data, fn );
-	},
-	one: function( types, selector, data, fn ) {
-		return on( this, types, selector, data, fn, 1 );
-	},
-	off: function( types, selector, fn ) {
-		var handleObj, type;
-		if ( types && types.preventDefault && types.handleObj ) {
-
-			// ( event )  dispatched jQuery.Event
-			handleObj = types.handleObj;
-			jQuery( types.delegateTarget ).off(
-				handleObj.namespace ?
-					handleObj.origType + "." + handleObj.namespace :
-					handleObj.origType,
-				handleObj.selector,
-				handleObj.handler
-			);
-			return this;
-		}
-		if ( typeof types === "object" ) {
-
-			// ( types-object [, selector] )
-			for ( type in types ) {
-				this.off( type, selector, types[ type ] );
-			}
-			return this;
-		}
-		if ( selector === false || typeof selector === "function" ) {
-
-			// ( types [, fn] )
-			fn = selector;
-			selector = undefined;
-		}
-		if ( fn === false ) {
-			fn = returnFalse;
-		}
-		return this.each( function() {
-			jQuery.event.remove( this, types, fn, selector );
-		} );
-	}
-} );
-
-
-var
-
-	// Support: IE <=10 - 11, Edge 12 - 13 only
-	// In IE/Edge using regex groups here causes severe slowdowns.
-	// See https://connect.microsoft.com/IE/feedback/details/1736512/
-	rnoInnerhtml = /<script|<style|<link/i,
-
-	// checked="checked" or checked
-	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
-	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
-
-// Prefer a tbody over its parent table for containing new rows
-function manipulationTarget( elem, content ) {
-	if ( nodeName( elem, "table" ) &&
-		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
-
-		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
-	}
-
-	return elem;
-}
-
-// Replace/restore the type attribute of script elements for safe DOM manipulation
-function disableScript( elem ) {
-	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
-	return elem;
-}
-function restoreScript( elem ) {
-	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
-		elem.type = elem.type.slice( 5 );
-	} else {
-		elem.removeAttribute( "type" );
-	}
-
-	return elem;
-}
-
-function cloneCopyEvent( src, dest ) {
-	var i, l, type, pdataOld, udataOld, udataCur, events;
-
-	if ( dest.nodeType !== 1 ) {
-		return;
-	}
-
-	// 1. Copy private data: events, handlers, etc.
-	if ( dataPriv.hasData( src ) ) {
-		pdataOld = dataPriv.get( src );
-		events = pdataOld.events;
-
-		if ( events ) {
-			dataPriv.remove( dest, "handle events" );
-
-			for ( type in events ) {
-				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
-					jQuery.event.add( dest, type, events[ type ][ i ] );
-				}
-			}
-		}
-	}
-
-	// 2. Copy user data
-	if ( dataUser.hasData( src ) ) {
-		udataOld = dataUser.access( src );
-		udataCur = jQuery.extend( {}, udataOld );
-
-		dataUser.set( dest, udataCur );
-	}
-}
-
-// Fix IE bugs, see support tests
-function fixInput( src, dest ) {
-	var nodeName = dest.nodeName.toLowerCase();
-
-	// Fails to persist the checked state of a cloned checkbox or radio button.
-	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
-		dest.checked = src.checked;
-
-	// Fails to return the selected option to the default selected state when cloning options
-	} else if ( nodeName === "input" || nodeName === "textarea" ) {
-		dest.defaultValue = src.defaultValue;
-	}
-}
-
-function domManip( collection, args, callback, ignored ) {
-
-	// Flatten any nested arrays
-	args = flat( args );
-
-	var fragment, first, scripts, hasScripts, node, doc,
-		i = 0,
-		l = collection.length,
-		iNoClone = l - 1,
-		value = args[ 0 ],
-		valueIsFunction = isFunction( value );
-
-	// We can't cloneNode fragments that contain checked, in WebKit
-	if ( valueIsFunction ||
-			( l > 1 && typeof value === "string" &&
-				!support.checkClone && rchecked.test( value ) ) ) {
-		return collection.each( function( index ) {
-			var self = collection.eq( index );
-			if ( valueIsFunction ) {
-				args[ 0 ] = value.call( this, index, self.html() );
-			}
-			domManip( self, args, callback, ignored );
-		} );
-	}
-
-	if ( l ) {
-		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
-		first = fragment.firstChild;
-
-		if ( fragment.childNodes.length === 1 ) {
-			fragment = first;
-		}
-
-		// Require either new content or an interest in ignored elements to invoke the callback
-		if ( first || ignored ) {
-			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
-			hasScripts = scripts.length;
-
-			// Use the original fragment for the last item
-			// instead of the first because it can end up
-			// being emptied incorrectly in certain situations (#8070).
-			for ( ; i < l; i++ ) {
-				node = fragment;
-
-				if ( i !== iNoClone ) {
-					node = jQuery.clone( node, true, true );
-
-					// Keep references to cloned scripts for later restoration
-					if ( hasScripts ) {
-
-						// Support: Android <=4.0 only, PhantomJS 1 only
-						// push.apply(_, arraylike) throws on ancient WebKit
-						jQuery.merge( scripts, getAll( node, "script" ) );
-					}
-				}
-
-				callback.call( collection[ i ], node, i );
-			}
-
-			if ( hasScripts ) {
-				doc = scripts[ scripts.length - 1 ].ownerDocument;
-
-				// Reenable scripts
-				jQuery.map( scripts, restoreScript );
-
-				// Evaluate executable scripts on first document insertion
-				for ( i = 0; i < hasScripts; i++ ) {
-					node = scripts[ i ];
-					if ( rscriptType.test( node.type || "" ) &&
-						!dataPriv.access( node, "globalEval" ) &&
-						jQuery.contains( doc, node ) ) {
-
-						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
-
-							// Optional AJAX dependency, but won't run scripts if not present
-							if ( jQuery._evalUrl && !node.noModule ) {
-								jQuery._evalUrl( node.src, {
-									nonce: node.nonce || node.getAttribute( "nonce" )
-								}, doc );
-							}
-						} else {
-							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
-						}
-					}
-				}
-			}
-		}
-	}
-
-	return collection;
-}
-
-function remove( elem, selector, keepData ) {
-	var node,
-		nodes = selector ? jQuery.filter( selector, elem ) : elem,
-		i = 0;
-
-	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
-		if ( !keepData && node.nodeType === 1 ) {
-			jQuery.cleanData( getAll( node ) );
-		}
-
-		if ( node.parentNode ) {
-			if ( keepData && isAttached( node ) ) {
-				setGlobalEval( getAll( node, "script" ) );
-			}
-			node.parentNode.removeChild( node );
-		}
-	}
-
-	return elem;
-}
-
-jQuery.extend( {
-	htmlPrefilter: function( html ) {
-		return html;
-	},
-
-	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
-		var i, l, srcElements, destElements,
-			clone = elem.cloneNode( true ),
-			inPage = isAttached( elem );
-
-		// Fix IE cloning issues
-		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
-				!jQuery.isXMLDoc( elem ) ) {
-
-			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
-			destElements = getAll( clone );
-			srcElements = getAll( elem );
-
-			for ( i = 0, l = srcElements.length; i < l; i++ ) {
-				fixInput( srcElements[ i ], destElements[ i ] );
-			}
-		}
-
-		// Copy the events from the original to the clone
-		if ( dataAndEvents ) {
-			if ( deepDataAndEvents ) {
-				srcElements = srcElements || getAll( elem );
-				destElements = destElements || getAll( clone );
-
-				for ( i = 0, l = srcElements.length; i < l; i++ ) {
-					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
-				}
-			} else {
-				cloneCopyEvent( elem, clone );
-			}
-		}
-
-		// Preserve script evaluation history
-		destElements = getAll( clone, "script" );
-		if ( destElements.length > 0 ) {
-			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
-		}
-
-		// Return the cloned set
-		return clone;
-	},
-
-	cleanData: function( elems ) {
-		var data, elem, type,
-			special = jQuery.event.special,
-			i = 0;
-
-		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
-			if ( acceptData( elem ) ) {
-				if ( ( data = elem[ dataPriv.expando ] ) ) {
-					if ( data.events ) {
-						for ( type in data.events ) {
-							if ( special[ type ] ) {
-								jQuery.event.remove( elem, type );
-
-							// This is a shortcut to avoid jQuery.event.remove's overhead
-							} else {
-								jQuery.removeEvent( elem, type, data.handle );
-							}
-						}
-					}
-
-					// Support: Chrome <=35 - 45+
-					// Assign undefined instead of using delete, see Data#remove
-					elem[ dataPriv.expando ] = undefined;
-				}
-				if ( elem[ dataUser.expando ] ) {
-
-					// Support: Chrome <=35 - 45+
-					// Assign undefined instead of using delete, see Data#remove
-					elem[ dataUser.expando ] = undefined;
-				}
-			}
-		}
-	}
-} );
-
-jQuery.fn.extend( {
-	detach: function( selector ) {
-		return remove( this, selector, true );
-	},
-
-	remove: function( selector ) {
-		return remove( this, selector );
-	},
-
-	text: function( value ) {
-		return access( this, function( value ) {
-			return value === undefined ?
-				jQuery.text( this ) :
-				this.empty().each( function() {
-					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-						this.textContent = value;
-					}
-				} );
-		}, null, value, arguments.length );
-	},
-
-	append: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-				var target = manipulationTarget( this, elem );
-				target.appendChild( elem );
-			}
-		} );
-	},
-
-	prepend: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-				var target = manipulationTarget( this, elem );
-				target.insertBefore( elem, target.firstChild );
-			}
-		} );
-	},
-
-	before: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.parentNode ) {
-				this.parentNode.insertBefore( elem, this );
-			}
-		} );
-	},
-
-	after: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.parentNode ) {
-				this.parentNode.insertBefore( elem, this.nextSibling );
-			}
-		} );
-	},
-
-	empty: function() {
-		var elem,
-			i = 0;
-
-		for ( ; ( elem = this[ i ] ) != null; i++ ) {
-			if ( elem.nodeType === 1 ) {
-
-				// Prevent memory leaks
-				jQuery.cleanData( getAll( elem, false ) );
-
-				// Remove any remaining nodes
-				elem.textContent = "";
-			}
-		}
-
-		return this;
-	},
-
-	clone: function( dataAndEvents, deepDataAndEvents ) {
-		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
-		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
-
-		return this.map( function() {
-			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
-		} );
-	},
-
-	html: function( value ) {
-		return access( this, function( value ) {
-			var elem = this[ 0 ] || {},
-				i = 0,
-				l = this.length;
-
-			if ( value === undefined && elem.nodeType === 1 ) {
-				return elem.innerHTML;
-			}
-
-			// See if we can take a shortcut and just use innerHTML
-			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
-				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
-
-				value = jQuery.htmlPrefilter( value );
-
-				try {
-					for ( ; i < l; i++ ) {
-						elem = this[ i ] || {};
-
-						// Remove element nodes and prevent memory leaks
-						if ( elem.nodeType === 1 ) {
-							jQuery.cleanData( getAll( elem, false ) );
-							elem.innerHTML = value;
-						}
-					}
-
-					elem = 0;
-
-				// If using innerHTML throws an exception, use the fallback method
-				} catch ( e ) {}
-			}
-
-			if ( elem ) {
-				this.empty().append( value );
-			}
-		}, null, value, arguments.length );
-	},
-
-	replaceWith: function() {
-		var ignored = [];
-
-		// Make the changes, replacing each non-ignored context element with the new content
-		return domManip( this, arguments, function( elem ) {
-			var parent = this.parentNode;
-
-			if ( jQuery.inArray( this, ignored ) < 0 ) {
-				jQuery.cleanData( getAll( this ) );
-				if ( parent ) {
-					parent.replaceChild( elem, this );
-				}
-			}
-
-		// Force callback invocation
-		}, ignored );
-	}
-} );
-
-jQuery.each( {
-	appendTo: "append",
-	prependTo: "prepend",
-	insertBefore: "before",
-	insertAfter: "after",
-	replaceAll: "replaceWith"
-}, function( name, original ) {
-	jQuery.fn[ name ] = function( selector ) {
-		var elems,
-			ret = [],
-			insert = jQuery( selector ),
-			last = insert.length - 1,
-			i = 0;
-
-		for ( ; i <= last; i++ ) {
-			elems = i === last ? this : this.clone( true );
-			jQuery( insert[ i ] )[ original ]( elems );
-
-			// Support: Android <=4.0 only, PhantomJS 1 only
-			// .get() because push.apply(_, arraylike) throws on ancient WebKit
-			push.apply( ret, elems.get() );
-		}
-
-		return this.pushStack( ret );
-	};
-} );
-var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
-
-var getStyles = function( elem ) {
-
-		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
-		// IE throws on elements created in popups
-		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
-		var view = elem.ownerDocument.defaultView;
-
-		if ( !view || !view.opener ) {
-			view = window;
-		}
-
-		return view.getComputedStyle( elem );
-	};
-
-var swap = function( elem, options, callback ) {
-	var ret, name,
-		old = {};
-
-	// Remember the old values, and insert the new ones
-	for ( name in options ) {
-		old[ name ] = elem.style[ name ];
-		elem.style[ name ] = options[ name ];
-	}
-
-	ret = callback.call( elem );
-
-	// Revert the old values
-	for ( name in options ) {
-		elem.style[ name ] = old[ name ];
-	}
-
-	return ret;
-};
-
-
-var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
-
-
-
-( function() {
-
-	// Executing both pixelPosition & boxSizingReliable tests require only one layout
-	// so they're executed at the same time to save the second computation.
-	function computeStyleTests() {
-
-		// This is a singleton, we need to execute it only once
-		if ( !div ) {
-			return;
-		}
-
-		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
-			"margin-top:1px;padding:0;border:0";
-		div.style.cssText =
-			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
-			"margin:auto;border:1px;padding:1px;" +
-			"width:60%;top:1%";
-		documentElement.appendChild( container ).appendChild( div );
-
-		var divStyle = window.getComputedStyle( div );
-		pixelPositionVal = divStyle.top !== "1%";
-
-		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
-		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
-
-		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
-		// Some styles come back with percentage values, even though they shouldn't
-		div.style.right = "60%";
-		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
-
-		// Support: IE 9 - 11 only
-		// Detect misreporting of content dimensions for box-sizing:border-box elements
-		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
-
-		// Support: IE 9 only
-		// Detect overflow:scroll screwiness (gh-3699)
-		// Support: Chrome <=64
-		// Don't get tricked when zoom affects offsetWidth (gh-4029)
-		div.style.position = "absolute";
-		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
-
-		documentElement.removeChild( container );
-
-		// Nullify the div so it wouldn't be stored in the memory and
-		// it will also be a sign that checks already performed
-		div = null;
-	}
-
-	function roundPixelMeasures( measure ) {
-		return Math.round( parseFloat( measure ) );
-	}
-
-	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
-		reliableTrDimensionsVal, reliableMarginLeftVal,
-		container = document.createElement( "div" ),
-		div = document.createElement( "div" );
-
-	// Finish early in limited (non-browser) environments
-	if ( !div.style ) {
-		return;
-	}
-
-	// Support: IE <=9 - 11 only
-	// Style of cloned element affects source element cloned (#8908)
-	div.style.backgroundClip = "content-box";
-	div.cloneNode( true ).style.backgroundClip = "";
-	support.clearCloneStyle = div.style.backgroundClip === "content-box";
-
-	jQuery.extend( support, {
-		boxSizingReliable: function() {
-			computeStyleTests();
-			return boxSizingReliableVal;
-		},
-		pixelBoxStyles: function() {
-			computeStyleTests();
-			return pixelBoxStylesVal;
-		},
-		pixelPosition: function() {
-			computeStyleTests();
-			return pixelPositionVal;
-		},
-		reliableMarginLeft: function() {
-			computeStyleTests();
-			return reliableMarginLeftVal;
-		},
-		scrollboxSize: function() {
-			computeStyleTests();
-			return scrollboxSizeVal;
-		},
-
-		// Support: IE 9 - 11+, Edge 15 - 18+
-		// IE/Edge misreport `getComputedStyle` of table rows with width/height
-		// set in CSS while `offset*` properties report correct values.
-		// Behavior in IE 9 is more subtle than in newer versions & it passes
-		// some versions of this test; make sure not to make it pass there!
-		reliableTrDimensions: function() {
-			var table, tr, trChild, trStyle;
-			if ( reliableTrDimensionsVal == null ) {
-				table = document.createElement( "table" );
-				tr = document.createElement( "tr" );
-				trChild = document.createElement( "div" );
-
-				table.style.cssText = "position:absolute;left:-11111px";
-				tr.style.height = "1px";
-				trChild.style.height = "9px";
-
-				documentElement
-					.appendChild( table )
-					.appendChild( tr )
-					.appendChild( trChild );
-
-				trStyle = window.getComputedStyle( tr );
-				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
-
-				documentElement.removeChild( table );
-			}
-			return reliableTrDimensionsVal;
-		}
-	} );
-} )();
-
-
-function curCSS( elem, name, computed ) {
-	var width, minWidth, maxWidth, ret,
-
-		// Support: Firefox 51+
-		// Retrieving style before computed somehow
-		// fixes an issue with getting wrong values
-		// on detached elements
-		style = elem.style;
-
-	computed = computed || getStyles( elem );
-
-	// getPropertyValue is needed for:
-	//   .css('filter') (IE 9 only, #12537)
-	//   .css('--customProperty) (#3144)
-	if ( computed ) {
-		ret = computed.getPropertyValue( name ) || computed[ name ];
-
-		if ( ret === "" && !isAttached( elem ) ) {
-			ret = jQuery.style( elem, name );
-		}
-
-		// A tribute to the "awesome hack by Dean Edwards"
-		// Android Browser returns percentage for some values,
-		// but width seems to be reliably pixels.
-		// This is against the CSSOM draft spec:
-		// https://drafts.csswg.org/cssom/#resolved-values
-		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
-
-			// Remember the original values
-			width = style.width;
-			minWidth = style.minWidth;
-			maxWidth = style.maxWidth;
-
-			// Put in the new values to get a computed value out
-			style.minWidth = style.maxWidth = style.width = ret;
-			ret = computed.width;
-
-			// Revert the changed values
-			style.width = width;
-			style.minWidth = minWidth;
-			style.maxWidth = maxWidth;
-		}
-	}
-
-	return ret !== undefined ?
-
-		// Support: IE <=9 - 11 only
-		// IE returns zIndex value as an integer.
-		ret + "" :
-		ret;
-}
-
-
-function addGetHookIf( conditionFn, hookFn ) {
-
-	// Define the hook, we'll check on the first run if it's really needed.
-	return {
-		get: function() {
-			if ( conditionFn() ) {
-
-				// Hook not needed (or it's not possible to use it due
-				// to missing dependency), remove it.
-				delete this.get;
-				return;
-			}
-
-			// Hook needed; redefine it so that the support test is not executed again.
-			return ( this.get = hookFn ).apply( this, arguments );
-		}
-	};
-}
-
-
-var cssPrefixes = [ "Webkit", "Moz", "ms" ],
-	emptyStyle = document.createElement( "div" ).style,
-	vendorProps = {};
-
-// Return a vendor-prefixed property or undefined
-function vendorPropName( name ) {
-
-	// Check for vendor prefixed names
-	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
-		i = cssPrefixes.length;
-
-	while ( i-- ) {
-		name = cssPrefixes[ i ] + capName;
-		if ( name in emptyStyle ) {
-			return name;
-		}
-	}
-}
-
-// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
-function finalPropName( name ) {
-	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
-
-	if ( final ) {
-		return final;
-	}
-	if ( name in emptyStyle ) {
-		return name;
-	}
-	return vendorProps[ name ] = vendorPropName( name ) || name;
-}
-
-
-var
-
-	// Swappable if display is none or starts with table
-	// except "table", "table-cell", or "table-caption"
-	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
-	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
-	rcustomProp = /^--/,
-	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
-	cssNormalTransform = {
-		letterSpacing: "0",
-		fontWeight: "400"
-	};
-
-function setPositiveNumber( _elem, value, subtract ) {
-
-	// Any relative (+/-) values have already been
-	// normalized at this point
-	var matches = rcssNum.exec( value );
-	return matches ?
-
-		// Guard against undefined "subtract", e.g., when used as in cssHooks
-		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
-		value;
-}
-
-function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
-	var i = dimension === "width" ? 1 : 0,
-		extra = 0,
-		delta = 0;
-
-	// Adjustment may not be necessary
-	if ( box === ( isBorderBox ? "border" : "content" ) ) {
-		return 0;
-	}
-
-	for ( ; i < 4; i += 2 ) {
-
-		// Both box models exclude margin
-		if ( box === "margin" ) {
-			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
-		}
-
-		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
-		if ( !isBorderBox ) {
-
-			// Add padding
-			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-
-			// For "border" or "margin", add border
-			if ( box !== "padding" ) {
-				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-
-			// But still keep track of it otherwise
-			} else {
-				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-			}
-
-		// If we get here with a border-box (content + padding + border), we're seeking "content" or
-		// "padding" or "margin"
-		} else {
-
-			// For "content", subtract padding
-			if ( box === "content" ) {
-				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-			}
-
-			// For "content" or "padding", subtract border
-			if ( box !== "margin" ) {
-				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-			}
-		}
-	}
-
-	// Account for positive content-box scroll gutter when requested by providing computedVal
-	if ( !isBorderBox && computedVal >= 0 ) {
-
-		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
-		// Assuming integer scroll gutter, subtract the rest and round down
-		delta += Math.max( 0, Math.ceil(
-			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
-			computedVal -
-			delta -
-			extra -
-			0.5
-
-		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
-		// Use an explicit zero to avoid NaN (gh-3964)
-		) ) || 0;
-	}
-
-	return delta;
-}
-
-function getWidthOrHeight( elem, dimension, extra ) {
-
-	// Start with computed style
-	var styles = getStyles( elem ),
-
-		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
-		// Fake content-box until we know it's needed to know the true value.
-		boxSizingNeeded = !support.boxSizingReliable() || extra,
-		isBorderBox = boxSizingNeeded &&
-			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
-		valueIsBorderBox = isBorderBox,
-
-		val = curCSS( elem, dimension, styles ),
-		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
-
-	// Support: Firefox <=54
-	// Return a confounding non-pixel value or feign ignorance, as appropriate.
-	if ( rnumnonpx.test( val ) ) {
-		if ( !extra ) {
-			return val;
-		}
-		val = "auto";
-	}
-
-
-	// Support: IE 9 - 11 only
-	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
-	// In those cases, the computed value can be trusted to be border-box.
-	if ( ( !support.boxSizingReliable() && isBorderBox ||
-
-		// Support: IE 10 - 11+, Edge 15 - 18+
-		// IE/Edge misreport `getComputedStyle` of table rows with width/height
-		// set in CSS while `offset*` properties report correct values.
-		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
-		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
-
-		// Fall back to offsetWidth/offsetHeight when value is "auto"
-		// This happens for inline elements with no explicit setting (gh-3571)
-		val === "auto" ||
-
-		// Support: Android <=4.1 - 4.3 only
-		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
-		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
-
-		// Make sure the element is visible & connected
-		elem.getClientRects().length ) {
-
-		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
-
-		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
-		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
-		// retrieved value as a content box dimension.
-		valueIsBorderBox = offsetProp in elem;
-		if ( valueIsBorderBox ) {
-			val = elem[ offsetProp ];
-		}
-	}
-
-	// Normalize "" and auto
-	val = parseFloat( val ) || 0;
-
-	// Adjust for the element's box model
-	return ( val +
-		boxModelAdjustment(
-			elem,
-			dimension,
-			extra || ( isBorderBox ? "border" : "content" ),
-			valueIsBorderBox,
-			styles,
-
-			// Provide the current computed size to request scroll gutter calculation (gh-3589)
-			val
-		)
-	) + "px";
-}
-
-jQuery.extend( {
-
-	// Add in style property hooks for overriding the default
-	// behavior of getting and setting a style property
-	cssHooks: {
-		opacity: {
-			get: function( elem, computed ) {
-				if ( computed ) {
-
-					// We should always get a number back from opacity
-					var ret = curCSS( elem, "opacity" );
-					return ret === "" ? "1" : ret;
-				}
-			}
-		}
-	},
-
-	// Don't automatically add "px" to these possibly-unitless properties
-	cssNumber: {
-		"animationIterationCount": true,
-		"columnCount": true,
-		"fillOpacity": true,
-		"flexGrow": true,
-		"flexShrink": true,
-		"fontWeight": true,
-		"gridArea": true,
-		"gridColumn": true,
-		"gridColumnEnd": true,
-		"gridColumnStart": true,
-		"gridRow": true,
-		"gridRowEnd": true,
-		"gridRowStart": true,
-		"lineHeight": true,
-		"opacity": true,
-		"order": true,
-		"orphans": true,
-		"widows": true,
-		"zIndex": true,
-		"zoom": true
-	},
-
-	// Add in properties whose names you wish to fix before
-	// setting or getting the value
-	cssProps: {},
-
-	// Get and set the style property on a DOM Node
-	style: function( elem, name, value, extra ) {
-
-		// Don't set styles on text and comment nodes
-		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
-			return;
-		}
-
-		// Make sure that we're working with the right name
-		var ret, type, hooks,
-			origName = camelCase( name ),
-			isCustomProp = rcustomProp.test( name ),
-			style = elem.style;
-
-		// Make sure that we're working with the right name. We don't
-		// want to query the value if it is a CSS custom property
-		// since they are user-defined.
-		if ( !isCustomProp ) {
-			name = finalPropName( origName );
-		}
-
-		// Gets hook for the prefixed version, then unprefixed version
-		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
-		// Check if we're setting a value
-		if ( value !== undefined ) {
-			type = typeof value;
-
-			// Convert "+=" or "-=" to relative numbers (#7345)
-			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
-				value = adjustCSS( elem, name, ret );
-
-				// Fixes bug #9237
-				type = "number";
-			}
-
-			// Make sure that null and NaN values aren't set (#7116)
-			if ( value == null || value !== value ) {
-				return;
-			}
-
-			// If a number was passed in, add the unit (except for certain CSS properties)
-			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
-			// "px" to a few hardcoded values.
-			if ( type === "number" && !isCustomProp ) {
-				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
-			}
-
-			// background-* props affect original clone's values
-			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
-				style[ name ] = "inherit";
-			}
-
-			// If a hook was provided, use that value, otherwise just set the specified value
-			if ( !hooks || !( "set" in hooks ) ||
-				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
-
-				if ( isCustomProp ) {
-					style.setProperty( name, value );
-				} else {
-					style[ name ] = value;
-				}
-			}
-
-		} else {
-
-			// If a hook was provided get the non-computed value from there
-			if ( hooks && "get" in hooks &&
-				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
-
-				return ret;
-			}
-
-			// Otherwise just get the value from the style object
-			return style[ name ];
-		}
-	},
-
-	css: function( elem, name, extra, styles ) {
-		var val, num, hooks,
-			origName = camelCase( name ),
-			isCustomProp = rcustomProp.test( name );
-
-		// Make sure that we're working with the right name. We don't
-		// want to modify the value if it is a CSS custom property
-		// since they are user-defined.
-		if ( !isCustomProp ) {
-			name = finalPropName( origName );
-		}
-
-		// Try prefixed name followed by the unprefixed name
-		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
-		// If a hook was provided get the computed value from there
-		if ( hooks && "get" in hooks ) {
-			val = hooks.get( elem, true, extra );
-		}
-
-		// Otherwise, if a way to get the computed value exists, use that
-		if ( val === undefined ) {
-			val = curCSS( elem, name, styles );
-		}
-
-		// Convert "normal" to computed value
-		if ( val === "normal" && name in cssNormalTransform ) {
-			val = cssNormalTransform[ name ];
-		}
-
-		// Make numeric if forced or a qualifier was provided and val looks numeric
-		if ( extra === "" || extra ) {
-			num = parseFloat( val );
-			return extra === true || isFinite( num ) ? num || 0 : val;
-		}
-
-		return val;
-	}
-} );
-
-jQuery.each( [ "height", "width" ], function( _i, dimension ) {
-	jQuery.cssHooks[ dimension ] = {
-		get: function( elem, computed, extra ) {
-			if ( computed ) {
-
-				// Certain elements can have dimension info if we invisibly show them
-				// but it must have a current display style that would benefit
-				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
-
-					// Support: Safari 8+
-					// Table columns in Safari have non-zero offsetWidth & zero
-					// getBoundingClientRect().width unless display is changed.
-					// Support: IE <=11 only
-					// Running getBoundingClientRect on a disconnected node
-					// in IE throws an error.
-					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
-						swap( elem, cssShow, function() {
-							return getWidthOrHeight( elem, dimension, extra );
-						} ) :
-						getWidthOrHeight( elem, dimension, extra );
-			}
-		},
-
-		set: function( elem, value, extra ) {
-			var matches,
-				styles = getStyles( elem ),
-
-				// Only read styles.position if the test has a chance to fail
-				// to avoid forcing a reflow.
-				scrollboxSizeBuggy = !support.scrollboxSize() &&
-					styles.position === "absolute",
-
-				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
-				boxSizingNeeded = scrollboxSizeBuggy || extra,
-				isBorderBox = boxSizingNeeded &&
-					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
-				subtract = extra ?
-					boxModelAdjustment(
-						elem,
-						dimension,
-						extra,
-						isBorderBox,
-						styles
-					) :
-					0;
-
-			// Account for unreliable border-box dimensions by comparing offset* to computed and
-			// faking a content-box to get border and padding (gh-3699)
-			if ( isBorderBox && scrollboxSizeBuggy ) {
-				subtract -= Math.ceil(
-					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
-					parseFloat( styles[ dimension ] ) -
-					boxModelAdjustment( elem, dimension, "border", false, styles ) -
-					0.5
-				);
-			}
-
-			// Convert to pixels if value adjustment is needed
-			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
-				( matches[ 3 ] || "px" ) !== "px" ) {
-
-				elem.style[ dimension ] = value;
-				value = jQuery.css( elem, dimension );
-			}
-
-			return setPositiveNumber( elem, value, subtract );
-		}
-	};
-} );
-
-jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
-	function( elem, computed ) {
-		if ( computed ) {
-			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
-				elem.getBoundingClientRect().left -
-					swap( elem, { marginLeft: 0 }, function() {
-						return elem.getBoundingClientRect().left;
-					} )
-				) + "px";
-		}
-	}
-);
-
-// These hooks are used by animate to expand properties
-jQuery.each( {
-	margin: "",
-	padding: "",
-	border: "Width"
-}, function( prefix, suffix ) {
-	jQuery.cssHooks[ prefix + suffix ] = {
-		expand: function( value ) {
-			var i = 0,
-				expanded = {},
-
-				// Assumes a single number if not a string
-				parts = typeof value === "string" ? value.split( " " ) : [ value ];
-
-			for ( ; i < 4; i++ ) {
-				expanded[ prefix + cssExpand[ i ] + suffix ] =
-					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
-			}
-
-			return expanded;
-		}
-	};
-
-	if ( prefix !== "margin" ) {
-		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
-	}
-} );
-
-jQuery.fn.extend( {
-	css: function( name, value ) {
-		return access( this, function( elem, name, value ) {
-			var styles, len,
-				map = {},
-				i = 0;
-
-			if ( Array.isArray( name ) ) {
-				styles = getStyles( elem );
-				len = name.length;
-
-				for ( ; i < len; i++ ) {
-					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
-				}
-
-				return map;
-			}
-
-			return value !== undefined ?
-				jQuery.style( elem, name, value ) :
-				jQuery.css( elem, name );
-		}, name, value, arguments.length > 1 );
-	}
-} );
-
-
-function Tween( elem, options, prop, end, easing ) {
-	return new Tween.prototype.init( elem, options, prop, end, easing );
-}
-jQuery.Tween = Tween;
-
-Tween.prototype = {
-	constructor: Tween,
-	init: function( elem, options, prop, end, easing, unit ) {
-		this.elem = elem;
-		this.prop = prop;
-		this.easing = easing || jQuery.easing._default;
-		this.options = options;
-		this.start = this.now = this.cur();
-		this.end = end;
-		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
-	},
-	cur: function() {
-		var hooks = Tween.propHooks[ this.prop ];
-
-		return hooks && hooks.get ?
-			hooks.get( this ) :
-			Tween.propHooks._default.get( this );
-	},
-	run: function( percent ) {
-		var eased,
-			hooks = Tween.propHooks[ this.prop ];
-
-		if ( this.options.duration ) {
-			this.pos = eased = jQuery.easing[ this.easing ](
-				percent, this.options.duration * percent, 0, 1, this.options.duration
-			);
-		} else {
-			this.pos = eased = percent;
-		}
-		this.now = ( this.end - this.start ) * eased + this.start;
-
-		if ( this.options.step ) {
-			this.options.step.call( this.elem, this.now, this );
-		}
-
-		if ( hooks && hooks.set ) {
-			hooks.set( this );
-		} else {
-			Tween.propHooks._default.set( this );
-		}
-		return this;
-	}
-};
-
-Tween.prototype.init.prototype = Tween.prototype;
-
-Tween.propHooks = {
-	_default: {
-		get: function( tween ) {
-			var result;
-
-			// Use a property on the element directly when it is not a DOM element,
-			// or when there is no matching style property that exists.
-			if ( tween.elem.nodeType !== 1 ||
-				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
-				return tween.elem[ tween.prop ];
-			}
-
-			// Passing an empty string as a 3rd parameter to .css will automatically
-			// attempt a parseFloat and fallback to a string if the parse fails.
-			// Simple values such as "10px" are parsed to Float;
-			// complex values such as "rotate(1rad)" are returned as-is.
-			result = jQuery.css( tween.elem, tween.prop, "" );
-
-			// Empty strings, null, undefined and "auto" are converted to 0.
-			return !result || result === "auto" ? 0 : result;
-		},
-		set: function( tween ) {
-
-			// Use step hook for back compat.
-			// Use cssHook if its there.
-			// Use .style if available and use plain properties where available.
-			if ( jQuery.fx.step[ tween.prop ] ) {
-				jQuery.fx.step[ tween.prop ]( tween );
-			} else if ( tween.elem.nodeType === 1 && (
-					jQuery.cssHooks[ tween.prop ] ||
-					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
-				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
-			} else {
-				tween.elem[ tween.prop ] = tween.now;
-			}
-		}
-	}
-};
-
-// Support: IE <=9 only
-// Panic based approach to setting things on disconnected nodes
-Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
-	set: function( tween ) {
-		if ( tween.elem.nodeType && tween.elem.parentNode ) {
-			tween.elem[ tween.prop ] = tween.now;
-		}
-	}
-};
-
-jQuery.easing = {
-	linear: function( p ) {
-		return p;
-	},
-	swing: function( p ) {
-		return 0.5 - Math.cos( p * Math.PI ) / 2;
-	},
-	_default: "swing"
-};
-
-jQuery.fx = Tween.prototype.init;
-
-// Back compat <1.8 extension point
-jQuery.fx.step = {};
-
-
-
-
-var
-	fxNow, inProgress,
-	rfxtypes = /^(?:toggle|show|hide)$/,
-	rrun = /queueHooks$/;
-
-function schedule() {
-	if ( inProgress ) {
-		if ( document.hidden === false && window.requestAnimationFrame ) {
-			window.requestAnimationFrame( schedule );
-		} else {
-			window.setTimeout( schedule, jQuery.fx.interval );
-		}
-
-		jQuery.fx.tick();
-	}
-}
-
-// Animations created synchronously will run synchronously
-function createFxNow() {
-	window.setTimeout( function() {
-		fxNow = undefined;
-	} );
-	return ( fxNow = Date.now() );
-}
-
-// Generate parameters to create a standard animation
-function genFx( type, includeWidth ) {
-	var which,
-		i = 0,
-		attrs = { height: type };
-
-	// If we include width, step value is 1 to do all cssExpand values,
-	// otherwise step value is 2 to skip over Left and Right
-	includeWidth = includeWidth ? 1 : 0;
-	for ( ; i < 4; i += 2 - includeWidth ) {
-		which = cssExpand[ i ];
-		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
-	}
-
-	if ( includeWidth ) {
-		attrs.opacity = attrs.width = type;
-	}
-
-	return attrs;
-}
-
-function createTween( value, prop, animation ) {
-	var tween,
-		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
-		index = 0,
-		length = collection.length;
-	for ( ; index < length; index++ ) {
-		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
-
-			// We're done with this property
-			return tween;
-		}
-	}
-}
-
-function defaultPrefilter( elem, props, opts ) {
-	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
-		isBox = "width" in props || "height" in props,
-		anim = this,
-		orig = {},
-		style = elem.style,
-		hidden = elem.nodeType && isHiddenWithinTree( elem ),
-		dataShow = dataPriv.get( elem, "fxshow" );
-
-	// Queue-skipping animations hijack the fx hooks
-	if ( !opts.queue ) {
-		hooks = jQuery._queueHooks( elem, "fx" );
-		if ( hooks.unqueued == null ) {
-			hooks.unqueued = 0;
-			oldfire = hooks.empty.fire;
-			hooks.empty.fire = function() {
-				if ( !hooks.unqueued ) {
-					oldfire();
-				}
-			};
-		}
-		hooks.unqueued++;
-
-		anim.always( function() {
-
-			// Ensure the complete handler is called before this completes
-			anim.always( function() {
-				hooks.unqueued--;
-				if ( !jQuery.queue( elem, "fx" ).length ) {
-					hooks.empty.fire();
-				}
-			} );
-		} );
-	}
-
-	// Detect show/hide animations
-	for ( prop in props ) {
-		value = props[ prop ];
-		if ( rfxtypes.test( value ) ) {
-			delete props[ prop ];
-			toggle = toggle || value === "toggle";
-			if ( value === ( hidden ? "hide" : "show" ) ) {
-
-				// Pretend to be hidden if this is a "show" and
-				// there is still data from a stopped show/hide
-				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
-					hidden = true;
-
-				// Ignore all other no-op show/hide data
-				} else {
-					continue;
-				}
-			}
-			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
-		}
-	}
-
-	// Bail out if this is a no-op like .hide().hide()
-	propTween = !jQuery.isEmptyObject( props );
-	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
-		return;
-	}
-
-	// Restrict "overflow" and "display" styles during box animations
-	if ( isBox && elem.nodeType === 1 ) {
-
-		// Support: IE <=9 - 11, Edge 12 - 15
-		// Record all 3 overflow attributes because IE does not infer the shorthand
-		// from identically-valued overflowX and overflowY and Edge just mirrors
-		// the overflowX value there.
-		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
-
-		// Identify a display type, preferring old show/hide data over the CSS cascade
-		restoreDisplay = dataShow && dataShow.display;
-		if ( restoreDisplay == null ) {
-			restoreDisplay = dataPriv.get( elem, "display" );
-		}
-		display = jQuery.css( elem, "display" );
-		if ( display === "none" ) {
-			if ( restoreDisplay ) {
-				display = restoreDisplay;
-			} else {
-
-				// Get nonempty value(s) by temporarily forcing visibility
-				showHide( [ elem ], true );
-				restoreDisplay = elem.style.display || restoreDisplay;
-				display = jQuery.css( elem, "display" );
-				showHide( [ elem ] );
-			}
-		}
-
-		// Animate inline elements as inline-block
-		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
-			if ( jQuery.css( elem, "float" ) === "none" ) {
-
-				// Restore the original display value at the end of pure show/hide animations
-				if ( !propTween ) {
-					anim.done( function() {
-						style.display = restoreDisplay;
-					} );
-					if ( restoreDisplay == null ) {
-						display = style.display;
-						restoreDisplay = display === "none" ? "" : display;
-					}
-				}
-				style.display = "inline-block";
-			}
-		}
-	}
-
-	if ( opts.overflow ) {
-		style.overflow = "hidden";
-		anim.always( function() {
-			style.overflow = opts.overflow[ 0 ];
-			style.overflowX = opts.overflow[ 1 ];
-			style.overflowY = opts.overflow[ 2 ];
-		} );
-	}
-
-	// Implement show/hide animations
-	propTween = false;
-	for ( prop in orig ) {
-
-		// General show/hide setup for this element animation
-		if ( !propTween ) {
-			if ( dataShow ) {
-				if ( "hidden" in dataShow ) {
-					hidden = dataShow.hidden;
-				}
-			} else {
-				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
-			}
-
-			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
-			if ( toggle ) {
-				dataShow.hidden = !hidden;
-			}
-
-			// Show elements before animating them
-			if ( hidden ) {
-				showHide( [ elem ], true );
-			}
-
-			/* eslint-disable no-loop-func */
-
-			anim.done( function() {
-
-			/* eslint-enable no-loop-func */
-
-				// The final step of a "hide" animation is actually hiding the element
-				if ( !hidden ) {
-					showHide( [ elem ] );
-				}
-				dataPriv.remove( elem, "fxshow" );
-				for ( prop in orig ) {
-					jQuery.style( elem, prop, orig[ prop ] );
-				}
-			} );
-		}
-
-		// Per-property setup
-		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
-		if ( !( prop in dataShow ) ) {
-			dataShow[ prop ] = propTween.start;
-			if ( hidden ) {
-				propTween.end = propTween.start;
-				propTween.start = 0;
-			}
-		}
-	}
-}
-
-function propFilter( props, specialEasing ) {
-	var index, name, easing, value, hooks;
-
-	// camelCase, specialEasing and expand cssHook pass
-	for ( index in props ) {
-		name = camelCase( index );
-		easing = specialEasing[ name ];
-		value = props[ index ];
-		if ( Array.isArray( value ) ) {
-			easing = value[ 1 ];
-			value = props[ index ] = value[ 0 ];
-		}
-
-		if ( index !== name ) {
-			props[ name ] = value;
-			delete props[ index ];
-		}
-
-		hooks = jQuery.cssHooks[ name ];
-		if ( hooks && "expand" in hooks ) {
-			value = hooks.expand( value );
-			delete props[ name ];
-
-			// Not quite $.extend, this won't overwrite existing keys.
-			// Reusing 'index' because we have the correct "name"
-			for ( index in value ) {
-				if ( !( index in props ) ) {
-					props[ index ] = value[ index ];
-					specialEasing[ index ] = easing;
-				}
-			}
-		} else {
-			specialEasing[ name ] = easing;
-		}
-	}
-}
-
-function Animation( elem, properties, options ) {
-	var result,
-		stopped,
-		index = 0,
-		length = Animation.prefilters.length,
-		deferred = jQuery.Deferred().always( function() {
-
-			// Don't match elem in the :animated selector
-			delete tick.elem;
-		} ),
-		tick = function() {
-			if ( stopped ) {
-				return false;
-			}
-			var currentTime = fxNow || createFxNow(),
-				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
-
-				// Support: Android 2.3 only
-				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
-				temp = remaining / animation.duration || 0,
-				percent = 1 - temp,
-				index = 0,
-				length = animation.tweens.length;
-
-			for ( ; index < length; index++ ) {
-				animation.tweens[ index ].run( percent );
-			}
-
-			deferred.notifyWith( elem, [ animation, percent, remaining ] );
-
-			// If there's more to do, yield
-			if ( percent < 1 && length ) {
-				return remaining;
-			}
-
-			// If this was an empty animation, synthesize a final progress notification
-			if ( !length ) {
-				deferred.notifyWith( elem, [ animation, 1, 0 ] );
-			}
-
-			// Resolve the animation and report its conclusion
-			deferred.resolveWith( elem, [ animation ] );
-			return false;
-		},
-		animation = deferred.promise( {
-			elem: elem,
-			props: jQuery.extend( {}, properties ),
-			opts: jQuery.extend( true, {
-				specialEasing: {},
-				easing: jQuery.easing._default
-			}, options ),
-			originalProperties: properties,
-			originalOptions: options,
-			startTime: fxNow || createFxNow(),
-			duration: options.duration,
-			tweens: [],
-			createTween: function( prop, end ) {
-				var tween = jQuery.Tween( elem, animation.opts, prop, end,
-						animation.opts.specialEasing[ prop ] || animation.opts.easing );
-				animation.tweens.push( tween );
-				return tween;
-			},
-			stop: function( gotoEnd ) {
-				var index = 0,
-
-					// If we are going to the end, we want to run all the tweens
-					// otherwise we skip this part
-					length = gotoEnd ? animation.tweens.length : 0;
-				if ( stopped ) {
-					return this;
-				}
-				stopped = true;
-				for ( ; index < length; index++ ) {
-					animation.tweens[ index ].run( 1 );
-				}
-
-				// Resolve when we played the last frame; otherwise, reject
-				if ( gotoEnd ) {
-					deferred.notifyWith( elem, [ animation, 1, 0 ] );
-					deferred.resolveWith( elem, [ animation, gotoEnd ] );
-				} else {
-					deferred.rejectWith( elem, [ animation, gotoEnd ] );
-				}
-				return this;
-			}
-		} ),
-		props = animation.props;
-
-	propFilter( props, animation.opts.specialEasing );
-
-	for ( ; index < length; index++ ) {
-		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
-		if ( result ) {
-			if ( isFunction( result.stop ) ) {
-				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
-					result.stop.bind( result );
-			}
-			return result;
-		}
-	}
-
-	jQuery.map( props, createTween, animation );
-
-	if ( isFunction( animation.opts.start ) ) {
-		animation.opts.start.call( elem, animation );
-	}
-
-	// Attach callbacks from options
-	animation
-		.progress( animation.opts.progress )
-		.done( animation.opts.done, animation.opts.complete )
-		.fail( animation.opts.fail )
-		.always( animation.opts.always );
-
-	jQuery.fx.timer(
-		jQuery.extend( tick, {
-			elem: elem,
-			anim: animation,
-			queue: animation.opts.queue
-		} )
-	);
-
-	return animation;
-}
-
-jQuery.Animation = jQuery.extend( Animation, {
-
-	tweeners: {
-		"*": [ function( prop, value ) {
-			var tween = this.createTween( prop, value );
-			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
-			return tween;
-		} ]
-	},
-
-	tweener: function( props, callback ) {
-		if ( isFunction( props ) ) {
-			callback = props;
-			props = [ "*" ];
-		} else {
-			props = props.match( rnothtmlwhite );
-		}
-
-		var prop,
-			index = 0,
-			length = props.length;
-
-		for ( ; index < length; index++ ) {
-			prop = props[ index ];
-			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
-			Animation.tweeners[ prop ].unshift( callback );
-		}
-	},
-
-	prefilters: [ defaultPrefilter ],
-
-	prefilter: function( callback, prepend ) {
-		if ( prepend ) {
-			Animation.prefilters.unshift( callback );
-		} else {
-			Animation.prefilters.push( callback );
-		}
-	}
-} );
-
-jQuery.speed = function( speed, easing, fn ) {
-	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
-		complete: fn || !fn && easing ||
-			isFunction( speed ) && speed,
-		duration: speed,
-		easing: fn && easing || easing && !isFunction( easing ) && easing
-	};
-
-	// Go to the end state if fx are off
-	if ( jQuery.fx.off ) {
-		opt.duration = 0;
-
-	} else {
-		if ( typeof opt.duration !== "number" ) {
-			if ( opt.duration in jQuery.fx.speeds ) {
-				opt.duration = jQuery.fx.speeds[ opt.duration ];
-
-			} else {
-				opt.duration = jQuery.fx.speeds._default;
-			}
-		}
-	}
-
-	// Normalize opt.queue - true/undefined/null -> "fx"
-	if ( opt.queue == null || opt.queue === true ) {
-		opt.queue = "fx";
-	}
-
-	// Queueing
-	opt.old = opt.complete;
-
-	opt.complete = function() {
-		if ( isFunction( opt.old ) ) {
-			opt.old.call( this );
-		}
-
-		if ( opt.queue ) {
-			jQuery.dequeue( this, opt.queue );
-		}
-	};
-
-	return opt;
-};
-
-jQuery.fn.extend( {
-	fadeTo: function( speed, to, easing, callback ) {
-
-		// Show any hidden elements after setting opacity to 0
-		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
-
-			// Animate to the value specified
-			.end().animate( { opacity: to }, speed, easing, callback );
-	},
-	animate: function( prop, speed, easing, callback ) {
-		var empty = jQuery.isEmptyObject( prop ),
-			optall = jQuery.speed( speed, easing, callback ),
-			doAnimation = function() {
-
-				// Operate on a copy of prop so per-property easing won't be lost
-				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
-
-				// Empty animations, or finishing resolves immediately
-				if ( empty || dataPriv.get( this, "finish" ) ) {
-					anim.stop( true );
-				}
-			};
-			doAnimation.finish = doAnimation;
-
-		return empty || optall.queue === false ?
-			this.each( doAnimation ) :
-			this.queue( optall.queue, doAnimation );
-	},
-	stop: function( type, clearQueue, gotoEnd ) {
-		var stopQueue = function( hooks ) {
-			var stop = hooks.stop;
-			delete hooks.stop;
-			stop( gotoEnd );
-		};
-
-		if ( typeof type !== "string" ) {
-			gotoEnd = clearQueue;
-			clearQueue = type;
-			type = undefined;
-		}
-		if ( clearQueue ) {
-			this.queue( type || "fx", [] );
-		}
-
-		return this.each( function() {
-			var dequeue = true,
-				index = type != null && type + "queueHooks",
-				timers = jQuery.timers,
-				data = dataPriv.get( this );
-
-			if ( index ) {
-				if ( data[ index ] && data[ index ].stop ) {
-					stopQueue( data[ index ] );
-				}
-			} else {
-				for ( index in data ) {
-					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
-						stopQueue( data[ index ] );
-					}
-				}
-			}
-
-			for ( index = timers.length; index--; ) {
-				if ( timers[ index ].elem === this &&
-					( type == null || timers[ index ].queue === type ) ) {
-
-					timers[ index ].anim.stop( gotoEnd );
-					dequeue = false;
-					timers.splice( index, 1 );
-				}
-			}
-
-			// Start the next in the queue if the last step wasn't forced.
-			// Timers currently will call their complete callbacks, which
-			// will dequeue but only if they were gotoEnd.
-			if ( dequeue || !gotoEnd ) {
-				jQuery.dequeue( this, type );
-			}
-		} );
-	},
-	finish: function( type ) {
-		if ( type !== false ) {
-			type = type || "fx";
-		}
-		return this.each( function() {
-			var index,
-				data = dataPriv.get( this ),
-				queue = data[ type + "queue" ],
-				hooks = data[ type + "queueHooks" ],
-				timers = jQuery.timers,
-				length = queue ? queue.length : 0;
-
-			// Enable finishing flag on private data
-			data.finish = true;
-
-			// Empty the queue first
-			jQuery.queue( this, type, [] );
-
-			if ( hooks && hooks.stop ) {
-				hooks.stop.call( this, true );
-			}
-
-			// Look for any active animations, and finish them
-			for ( index = timers.length; index--; ) {
-				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
-					timers[ index ].anim.stop( true );
-					timers.splice( index, 1 );
-				}
-			}
-
-			// Look for any animations in the old queue and finish them
-			for ( index = 0; index < length; index++ ) {
-				if ( queue[ index ] && queue[ index ].finish ) {
-					queue[ index ].finish.call( this );
-				}
-			}
-
-			// Turn off finishing flag
-			delete data.finish;
-		} );
-	}
-} );
-
-jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
-	var cssFn = jQuery.fn[ name ];
-	jQuery.fn[ name ] = function( speed, easing, callback ) {
-		return speed == null || typeof speed === "boolean" ?
-			cssFn.apply( this, arguments ) :
-			this.animate( genFx( name, true ), speed, easing, callback );
-	};
-} );
-
-// Generate shortcuts for custom animations
-jQuery.each( {
-	slideDown: genFx( "show" ),
-	slideUp: genFx( "hide" ),
-	slideToggle: genFx( "toggle" ),
-	fadeIn: { opacity: "show" },
-	fadeOut: { opacity: "hide" },
-	fadeToggle: { opacity: "toggle" }
-}, function( name, props ) {
-	jQuery.fn[ name ] = function( speed, easing, callback ) {
-		return this.animate( props, speed, easing, callback );
-	};
-} );
-
-jQuery.timers = [];
-jQuery.fx.tick = function() {
-	var timer,
-		i = 0,
-		timers = jQuery.timers;
-
-	fxNow = Date.now();
-
-	for ( ; i < timers.length; i++ ) {
-		timer = timers[ i ];
-
-		// Run the timer and safely remove it when done (allowing for external removal)
-		if ( !timer() && timers[ i ] === timer ) {
-			timers.splice( i--, 1 );
-		}
-	}
-
-	if ( !timers.length ) {
-		jQuery.fx.stop();
-	}
-	fxNow = undefined;
-};
-
-jQuery.fx.timer = function( timer ) {
-	jQuery.timers.push( timer );
-	jQuery.fx.start();
-};
-
-jQuery.fx.interval = 13;
-jQuery.fx.start = function() {
-	if ( inProgress ) {
-		return;
-	}
-
-	inProgress = true;
-	schedule();
-};
-
-jQuery.fx.stop = function() {
-	inProgress = null;
-};
-
-jQuery.fx.speeds = {
-	slow: 600,
-	fast: 200,
-
-	// Default speed
-	_default: 400
-};
-
-
-// Based off of the plugin by Clint Helfers, with permission.
-// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
-jQuery.fn.delay = function( time, type ) {
-	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
-	type = type || "fx";
-
-	return this.queue( type, function( next, hooks ) {
-		var timeout = window.setTimeout( next, time );
-		hooks.stop = function() {
-			window.clearTimeout( timeout );
-		};
-	} );
-};
-
-
-( function() {
-	var input = document.createElement( "input" ),
-		select = document.createElement( "select" ),
-		opt = select.appendChild( document.createElement( "option" ) );
-
-	input.type = "checkbox";
-
-	// Support: Android <=4.3 only
-	// Default value for a checkbox should be "on"
-	support.checkOn = input.value !== "";
-
-	// Support: IE <=11 only
-	// Must access selectedIndex to make default options select
-	support.optSelected = opt.selected;
-
-	// Support: IE <=11 only
-	// An input loses its value after becoming a radio
-	input = document.createElement( "input" );
-	input.value = "t";
-	input.type = "radio";
-	support.radioValue = input.value === "t";
-} )();
-
-
-var boolHook,
-	attrHandle = jQuery.expr.attrHandle;
-
-jQuery.fn.extend( {
-	attr: function( name, value ) {
-		return access( this, jQuery.attr, name, value, arguments.length > 1 );
-	},
-
-	removeAttr: function( name ) {
-		return this.each( function() {
-			jQuery.removeAttr( this, name );
-		} );
-	}
-} );
-
-jQuery.extend( {
-	attr: function( elem, name, value ) {
-		var ret, hooks,
-			nType = elem.nodeType;
-
-		// Don't get/set attributes on text, comment and attribute nodes
-		if ( nType === 3 || nType === 8 || nType === 2 ) {
-			return;
-		}
-
-		// Fallback to prop when attributes are not supported
-		if ( typeof elem.getAttribute === "undefined" ) {
-			return jQuery.prop( elem, name, value );
-		}
-
-		// Attribute hooks are determined by the lowercase version
-		// Grab necessary hook if one is defined
-		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
-				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
-		}
-
-		if ( value !== undefined ) {
-			if ( value === null ) {
-				jQuery.removeAttr( elem, name );
-				return;
-			}
-
-			if ( hooks && "set" in hooks &&
-				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
-				return ret;
-			}
-
-			elem.setAttribute( name, value + "" );
-			return value;
-		}
-
-		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
-			return ret;
-		}
-
-		ret = jQuery.find.attr( elem, name );
-
-		// Non-existent attributes return null, we normalize to undefined
-		return ret == null ? undefined : ret;
-	},
-
-	attrHooks: {
-		type: {
-			set: function( elem, value ) {
-				if ( !support.radioValue && value === "radio" &&
-					nodeName( elem, "input" ) ) {
-					var val = elem.value;
-					elem.setAttribute( "type", value );
-					if ( val ) {
-						elem.value = val;
-					}
-					return value;
-				}
-			}
-		}
-	},
-
-	removeAttr: function( elem, value ) {
-		var name,
-			i = 0,
-
-			// Attribute names can contain non-HTML whitespace characters
-			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
-			attrNames = value && value.match( rnothtmlwhite );
-
-		if ( attrNames && elem.nodeType === 1 ) {
-			while ( ( name = attrNames[ i++ ] ) ) {
-				elem.removeAttribute( name );
-			}
-		}
-	}
-} );
-
-// Hooks for boolean attributes
-boolHook = {
-	set: function( elem, value, name ) {
-		if ( value === false ) {
-
-			// Remove boolean attributes when set to false
-			jQuery.removeAttr( elem, name );
-		} else {
-			elem.setAttribute( name, name );
-		}
-		return name;
-	}
-};
-
-jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
-	var getter = attrHandle[ name ] || jQuery.find.attr;
-
-	attrHandle[ name ] = function( elem, name, isXML ) {
-		var ret, handle,
-			lowercaseName = name.toLowerCase();
-
-		if ( !isXML ) {
-
-			// Avoid an infinite loop by temporarily removing this function from the getter
-			handle = attrHandle[ lowercaseName ];
-			attrHandle[ lowercaseName ] = ret;
-			ret = getter( elem, name, isXML ) != null ?
-				lowercaseName :
-				null;
-			attrHandle[ lowercaseName ] = handle;
-		}
-		return ret;
-	};
-} );
-
-
-
-
-var rfocusable = /^(?:input|select|textarea|button)$/i,
-	rclickable = /^(?:a|area)$/i;
-
-jQuery.fn.extend( {
-	prop: function( name, value ) {
-		return access( this, jQuery.prop, name, value, arguments.length > 1 );
-	},
-
-	removeProp: function( name ) {
-		return this.each( function() {
-			delete this[ jQuery.propFix[ name ] || name ];
-		} );
-	}
-} );
-
-jQuery.extend( {
-	prop: function( elem, name, value ) {
-		var ret, hooks,
-			nType = elem.nodeType;
-
-		// Don't get/set properties on text, comment and attribute nodes
-		if ( nType === 3 || nType === 8 || nType === 2 ) {
-			return;
-		}
-
-		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-
-			// Fix name and attach hooks
-			name = jQuery.propFix[ name ] || name;
-			hooks = jQuery.propHooks[ name ];
-		}
-
-		if ( value !== undefined ) {
-			if ( hooks && "set" in hooks &&
-				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
-				return ret;
-			}
-
-			return ( elem[ name ] = value );
-		}
-
-		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
-			return ret;
-		}
-
-		return elem[ name ];
-	},
-
-	propHooks: {
-		tabIndex: {
-			get: function( elem ) {
-
-				// Support: IE <=9 - 11 only
-				// elem.tabIndex doesn't always return the
-				// correct value when it hasn't been explicitly set
-				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
-				// Use proper attribute retrieval(#12072)
-				var tabindex = jQuery.find.attr( elem, "tabindex" );
-
-				if ( tabindex ) {
-					return parseInt( tabindex, 10 );
-				}
-
-				if (
-					rfocusable.test( elem.nodeName ) ||
-					rclickable.test( elem.nodeName ) &&
-					elem.href
-				) {
-					return 0;
-				}
-
-				return -1;
-			}
-		}
-	},
-
-	propFix: {
-		"for": "htmlFor",
-		"class": "className"
-	}
-} );
-
-// Support: IE <=11 only
-// Accessing the selectedIndex property
-// forces the browser to respect setting selected
-// on the option
-// The getter ensures a default option is selected
-// when in an optgroup
-// eslint rule "no-unused-expressions" is disabled for this code
-// since it considers such accessions noop
-if ( !support.optSelected ) {
-	jQuery.propHooks.selected = {
-		get: function( elem ) {
-
-			/* eslint no-unused-expressions: "off" */
-
-			var parent = elem.parentNode;
-			if ( parent && parent.parentNode ) {
-				parent.parentNode.selectedIndex;
-			}
-			return null;
-		},
-		set: function( elem ) {
-
-			/* eslint no-unused-expressions: "off" */
-
-			var parent = elem.parentNode;
-			if ( parent ) {
-				parent.selectedIndex;
-
-				if ( parent.parentNode ) {
-					parent.parentNode.selectedIndex;
-				}
-			}
-		}
-	};
-}
-
-jQuery.each( [
-	"tabIndex",
-	"readOnly",
-	"maxLength",
-	"cellSpacing",
-	"cellPadding",
-	"rowSpan",
-	"colSpan",
-	"useMap",
-	"frameBorder",
-	"contentEditable"
-], function() {
-	jQuery.propFix[ this.toLowerCase() ] = this;
-} );
-
-
-
-
-	// Strip and collapse whitespace according to HTML spec
-	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
-	function stripAndCollapse( value ) {
-		var tokens = value.match( rnothtmlwhite ) || [];
-		return tokens.join( " " );
-	}
-
-
-function getClass( elem ) {
-	return elem.getAttribute && elem.getAttribute( "class" ) || "";
-}
-
-function classesToArray( value ) {
-	if ( Array.isArray( value ) ) {
-		return value;
-	}
-	if ( typeof value === "string" ) {
-		return value.match( rnothtmlwhite ) || [];
-	}
-	return [];
-}
-
-jQuery.fn.extend( {
-	addClass: function( value ) {
-		var classes, elem, cur, curValue, clazz, j, finalValue,
-			i = 0;
-
-		if ( isFunction( value ) ) {
-			return this.each( function( j ) {
-				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
-			} );
-		}
-
-		classes = classesToArray( value );
-
-		if ( classes.length ) {
-			while ( ( elem = this[ i++ ] ) ) {
-				curValue = getClass( elem );
-				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
-				if ( cur ) {
-					j = 0;
-					while ( ( clazz = classes[ j++ ] ) ) {
-						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
-							cur += clazz + " ";
-						}
-					}
-
-					// Only assign if different to avoid unneeded rendering.
-					finalValue = stripAndCollapse( cur );
-					if ( curValue !== finalValue ) {
-						elem.setAttribute( "class", finalValue );
-					}
-				}
-			}
-		}
-
-		return this;
-	},
-
-	removeClass: function( value ) {
-		var classes, elem, cur, curValue, clazz, j, finalValue,
-			i = 0;
-
-		if ( isFunction( value ) ) {
-			return this.each( function( j ) {
-				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
-			} );
-		}
-
-		if ( !arguments.length ) {
-			return this.attr( "class", "" );
-		}
-
-		classes = classesToArray( value );
-
-		if ( classes.length ) {
-			while ( ( elem = this[ i++ ] ) ) {
-				curValue = getClass( elem );
-
-				// This expression is here for better compressibility (see addClass)
-				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
-				if ( cur ) {
-					j = 0;
-					while ( ( clazz = classes[ j++ ] ) ) {
-
-						// Remove *all* instances
-						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
-							cur = cur.replace( " " + clazz + " ", " " );
-						}
-					}
-
-					// Only assign if different to avoid unneeded rendering.
-					finalValue = stripAndCollapse( cur );
-					if ( curValue !== finalValue ) {
-						elem.setAttribute( "class", finalValue );
-					}
-				}
-			}
-		}
-
-		return this;
-	},
-
-	toggleClass: function( value, stateVal ) {
-		var type = typeof value,
-			isValidValue = type === "string" || Array.isArray( value );
-
-		if ( typeof stateVal === "boolean" && isValidValue ) {
-			return stateVal ? this.addClass( value ) : this.removeClass( value );
-		}
-
-		if ( isFunction( value ) ) {
-			return this.each( function( i ) {
-				jQuery( this ).toggleClass(
-					value.call( this, i, getClass( this ), stateVal ),
-					stateVal
-				);
-			} );
-		}
-
-		return this.each( function() {
-			var className, i, self, classNames;
-
-			if ( isValidValue ) {
-
-				// Toggle individual class names
-				i = 0;
-				self = jQuery( this );
-				classNames = classesToArray( value );
-
-				while ( ( className = classNames[ i++ ] ) ) {
-
-					// Check each className given, space separated list
-					if ( self.hasClass( className ) ) {
-						self.removeClass( className );
-					} else {
-						self.addClass( className );
-					}
-				}
-
-			// Toggle whole class name
-			} else if ( value === undefined || type === "boolean" ) {
-				className = getClass( this );
-				if ( className ) {
-
-					// Store className if set
-					dataPriv.set( this, "__className__", className );
-				}
-
-				// If the element has a class name or if we're passed `false`,
-				// then remove the whole classname (if there was one, the above saved it).
-				// Otherwise bring back whatever was previously saved (if anything),
-				// falling back to the empty string if nothing was stored.
-				if ( this.setAttribute ) {
-					this.setAttribute( "class",
-						className || value === false ?
-						"" :
-						dataPriv.get( this, "__className__" ) || ""
-					);
-				}
-			}
-		} );
-	},
-
-	hasClass: function( selector ) {
-		var className, elem,
-			i = 0;
-
-		className = " " + selector + " ";
-		while ( ( elem = this[ i++ ] ) ) {
-			if ( elem.nodeType === 1 &&
-				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
-					return true;
-			}
-		}
-
-		return false;
-	}
-} );
-
-
-
-
-var rreturn = /\r/g;
-
-jQuery.fn.extend( {
-	val: function( value ) {
-		var hooks, ret, valueIsFunction,
-			elem = this[ 0 ];
-
-		if ( !arguments.length ) {
-			if ( elem ) {
-				hooks = jQuery.valHooks[ elem.type ] ||
-					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
-
-				if ( hooks &&
-					"get" in hooks &&
-					( ret = hooks.get( elem, "value" ) ) !== undefined
-				) {
-					return ret;
-				}
-
-				ret = elem.value;
-
-				// Handle most common string cases
-				if ( typeof ret === "string" ) {
-					return ret.replace( rreturn, "" );
-				}
-
-				// Handle cases where value is null/undef or number
-				return ret == null ? "" : ret;
-			}
-
-			return;
-		}
-
-		valueIsFunction = isFunction( value );
-
-		return this.each( function( i ) {
-			var val;
-
-			if ( this.nodeType !== 1 ) {
-				return;
-			}
-
-			if ( valueIsFunction ) {
-				val = value.call( this, i, jQuery( this ).val() );
-			} else {
-				val = value;
-			}
-
-			// Treat null/undefined as ""; convert numbers to string
-			if ( val == null ) {
-				val = "";
-
-			} else if ( typeof val === "number" ) {
-				val += "";
-
-			} else if ( Array.isArray( val ) ) {
-				val = jQuery.map( val, function( value ) {
-					return value == null ? "" : value + "";
-				} );
-			}
-
-			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
-
-			// If set returns undefined, fall back to normal setting
-			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
-				this.value = val;
-			}
-		} );
-	}
-} );
-
-jQuery.extend( {
-	valHooks: {
-		option: {
-			get: function( elem ) {
-
-				var val = jQuery.find.attr( elem, "value" );
-				return val != null ?
-					val :
-
-					// Support: IE <=10 - 11 only
-					// option.text throws exceptions (#14686, #14858)
-					// Strip and collapse whitespace
-					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
-					stripAndCollapse( jQuery.text( elem ) );
-			}
-		},
-		select: {
-			get: function( elem ) {
-				var value, option, i,
-					options = elem.options,
-					index = elem.selectedIndex,
-					one = elem.type === "select-one",
-					values = one ? null : [],
-					max = one ? index + 1 : options.length;
-
-				if ( index < 0 ) {
-					i = max;
-
-				} else {
-					i = one ? index : 0;
-				}
-
-				// Loop through all the selected options
-				for ( ; i < max; i++ ) {
-					option = options[ i ];
-
-					// Support: IE <=9 only
-					// IE8-9 doesn't update selected after form reset (#2551)
-					if ( ( option.selected || i === index ) &&
-
-							// Don't return options that are disabled or in a disabled optgroup
-							!option.disabled &&
-							( !option.parentNode.disabled ||
-								!nodeName( option.parentNode, "optgroup" ) ) ) {
-
-						// Get the specific value for the option
-						value = jQuery( option ).val();
-
-						// We don't need an array for one selects
-						if ( one ) {
-							return value;
-						}
-
-						// Multi-Selects return an array
-						values.push( value );
-					}
-				}
-
-				return values;
-			},
-
-			set: function( elem, value ) {
-				var optionSet, option,
-					options = elem.options,
-					values = jQuery.makeArray( value ),
-					i = options.length;
-
-				while ( i-- ) {
-					option = options[ i ];
-
-					/* eslint-disable no-cond-assign */
-
-					if ( option.selected =
-						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
-					) {
-						optionSet = true;
-					}
-
-					/* eslint-enable no-cond-assign */
-				}
-
-				// Force browsers to behave consistently when non-matching value is set
-				if ( !optionSet ) {
-					elem.selectedIndex = -1;
-				}
-				return values;
-			}
-		}
-	}
-} );
-
-// Radios and checkboxes getter/setter
-jQuery.each( [ "radio", "checkbox" ], function() {
-	jQuery.valHooks[ this ] = {
-		set: function( elem, value ) {
-			if ( Array.isArray( value ) ) {
-				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
-			}
-		}
-	};
-	if ( !support.checkOn ) {
-		jQuery.valHooks[ this ].get = function( elem ) {
-			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
-		};
-	}
-} );
-
-
-
-
-// Return jQuery for attributes-only inclusion
-
-
-support.focusin = "onfocusin" in window;
-
-
-var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
-	stopPropagationCallback = function( e ) {
-		e.stopPropagation();
-	};
-
-jQuery.extend( jQuery.event, {
-
-	trigger: function( event, data, elem, onlyHandlers ) {
-
-		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
-			eventPath = [ elem || document ],
-			type = hasOwn.call( event, "type" ) ? event.type : event,
-			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
-
-		cur = lastElement = tmp = elem = elem || document;
-
-		// Don't do events on text and comment nodes
-		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
-			return;
-		}
-
-		// focus/blur morphs to focusin/out; ensure we're not firing them right now
-		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
-			return;
-		}
-
-		if ( type.indexOf( "." ) > -1 ) {
-
-			// Namespaced trigger; create a regexp to match event type in handle()
-			namespaces = type.split( "." );
-			type = namespaces.shift();
-			namespaces.sort();
-		}
-		ontype = type.indexOf( ":" ) < 0 && "on" + type;
-
-		// Caller can pass in a jQuery.Event object, Object, or just an event type string
-		event = event[ jQuery.expando ] ?
-			event :
-			new jQuery.Event( type, typeof event === "object" && event );
-
-		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
-		event.isTrigger = onlyHandlers ? 2 : 3;
-		event.namespace = namespaces.join( "." );
-		event.rnamespace = event.namespace ?
-			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
-			null;
-
-		// Clean up the event in case it is being reused
-		event.result = undefined;
-		if ( !event.target ) {
-			event.target = elem;
-		}
-
-		// Clone any incoming data and prepend the event, creating the handler arg list
-		data = data == null ?
-			[ event ] :
-			jQuery.makeArray( data, [ event ] );
-
-		// Allow special events to draw outside the lines
-		special = jQuery.event.special[ type ] || {};
-		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
-			return;
-		}
-
-		// Determine event propagation path in advance, per W3C events spec (#9951)
-		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
-		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
-
-			bubbleType = special.delegateType || type;
-			if ( !rfocusMorph.test( bubbleType + type ) ) {
-				cur = cur.parentNode;
-			}
-			for ( ; cur; cur = cur.parentNode ) {
-				eventPath.push( cur );
-				tmp = cur;
-			}
-
-			// Only add window if we got to document (e.g., not plain obj or detached DOM)
-			if ( tmp === ( elem.ownerDocument || document ) ) {
-				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
-			}
-		}
-
-		// Fire handlers on the event path
-		i = 0;
-		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
-			lastElement = cur;
-			event.type = i > 1 ?
-				bubbleType :
-				special.bindType || type;
-
-			// jQuery handler
-			handle = (
-					dataPriv.get( cur, "events" ) || Object.create( null )
-				)[ event.type ] &&
-				dataPriv.get( cur, "handle" );
-			if ( handle ) {
-				handle.apply( cur, data );
-			}
-
-			// Native handler
-			handle = ontype && cur[ ontype ];
-			if ( handle && handle.apply && acceptData( cur ) ) {
-				event.result = handle.apply( cur, data );
-				if ( event.result === false ) {
-					event.preventDefault();
-				}
-			}
-		}
-		event.type = type;
-
-		// If nobody prevented the default action, do it now
-		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
-
-			if ( ( !special._default ||
-				special._default.apply( eventPath.pop(), data ) === false ) &&
-				acceptData( elem ) ) {
-
-				// Call a native DOM method on the target with the same name as the event.
-				// Don't do default actions on window, that's where global variables be (#6170)
-				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
-
-					// Don't re-trigger an onFOO event when we call its FOO() method
-					tmp = elem[ ontype ];
-
-					if ( tmp ) {
-						elem[ ontype ] = null;
-					}
-
-					// Prevent re-triggering of the same event, since we already bubbled it above
-					jQuery.event.triggered = type;
-
-					if ( event.isPropagationStopped() ) {
-						lastElement.addEventListener( type, stopPropagationCallback );
-					}
-
-					elem[ type ]();
-
-					if ( event.isPropagationStopped() ) {
-						lastElement.removeEventListener( type, stopPropagationCallback );
-					}
-
-					jQuery.event.triggered = undefined;
-
-					if ( tmp ) {
-						elem[ ontype ] = tmp;
-					}
-				}
-			}
-		}
-
-		return event.result;
-	},
-
-	// Piggyback on a donor event to simulate a different one
-	// Used only for `focus(in | out)` events
-	simulate: function( type, elem, event ) {
-		var e = jQuery.extend(
-			new jQuery.Event(),
-			event,
-			{
-				type: type,
-				isSimulated: true
-			}
-		);
-
-		jQuery.event.trigger( e, null, elem );
-	}
-
-} );
-
-jQuery.fn.extend( {
-
-	trigger: function( type, data ) {
-		return this.each( function() {
-			jQuery.event.trigger( type, data, this );
-		} );
-	},
-	triggerHandler: function( type, data ) {
-		var elem = this[ 0 ];
-		if ( elem ) {
-			return jQuery.event.trigger( type, data, elem, true );
-		}
-	}
-} );
-
-
-// Support: Firefox <=44
-// Firefox doesn't have focus(in | out) events
-// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
-//
-// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
-// focus(in | out) events fire after focus & blur events,
-// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
-// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
-if ( !support.focusin ) {
-	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
-
-		// Attach a single capturing handler on the document while someone wants focusin/focusout
-		var handler = function( event ) {
-			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
-		};
-
-		jQuery.event.special[ fix ] = {
-			setup: function() {
-
-				// Handle: regular nodes (via `this.ownerDocument`), window
-				// (via `this.document`) & document (via `this`).
-				var doc = this.ownerDocument || this.document || this,
-					attaches = dataPriv.access( doc, fix );
-
-				if ( !attaches ) {
-					doc.addEventListener( orig, handler, true );
-				}
-				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
-			},
-			teardown: function() {
-				var doc = this.ownerDocument || this.document || this,
-					attaches = dataPriv.access( doc, fix ) - 1;
-
-				if ( !attaches ) {
-					doc.removeEventListener( orig, handler, true );
-					dataPriv.remove( doc, fix );
-
-				} else {
-					dataPriv.access( doc, fix, attaches );
-				}
-			}
-		};
-	} );
-}
-var location = window.location;
-
-var nonce = { guid: Date.now() };
-
-var rquery = ( /\?/ );
-
-
-
-// Cross-browser xml parsing
-jQuery.parseXML = function( data ) {
-	var xml;
-	if ( !data || typeof data !== "string" ) {
-		return null;
-	}
-
-	// Support: IE 9 - 11 only
-	// IE throws on parseFromString with invalid input.
-	try {
-		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
-	} catch ( e ) {
-		xml = undefined;
-	}
-
-	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
-		jQuery.error( "Invalid XML: " + data );
-	}
-	return xml;
-};
-
-
-var
-	rbracket = /\[\]$/,
-	rCRLF = /\r?\n/g,
-	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
-	rsubmittable = /^(?:input|select|textarea|keygen)/i;
-
-function buildParams( prefix, obj, traditional, add ) {
-	var name;
-
-	if ( Array.isArray( obj ) ) {
-
-		// Serialize array item.
-		jQuery.each( obj, function( i, v ) {
-			if ( traditional || rbracket.test( prefix ) ) {
-
-				// Treat each array item as a scalar.
-				add( prefix, v );
-
-			} else {
-
-				// Item is non-scalar (array or object), encode its numeric index.
-				buildParams(
-					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
-					v,
-					traditional,
-					add
-				);
-			}
-		} );
-
-	} else if ( !traditional && toType( obj ) === "object" ) {
-
-		// Serialize object item.
-		for ( name in obj ) {
-			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
-		}
-
-	} else {
-
-		// Serialize scalar item.
-		add( prefix, obj );
-	}
-}
-
-// Serialize an array of form elements or a set of
-// key/values into a query string
-jQuery.param = function( a, traditional ) {
-	var prefix,
-		s = [],
-		add = function( key, valueOrFunction ) {
-
-			// If value is a function, invoke it and use its return value
-			var value = isFunction( valueOrFunction ) ?
-				valueOrFunction() :
-				valueOrFunction;
-
-			s[ s.length ] = encodeURIComponent( key ) + "=" +
-				encodeURIComponent( value == null ? "" : value );
-		};
-
-	if ( a == null ) {
-		return "";
-	}
-
-	// If an array was passed in, assume that it is an array of form elements.
-	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
-
-		// Serialize the form elements
-		jQuery.each( a, function() {
-			add( this.name, this.value );
-		} );
-
-	} else {
-
-		// If traditional, encode the "old" way (the way 1.3.2 or older
-		// did it), otherwise encode params recursively.
-		for ( prefix in a ) {
-			buildParams( prefix, a[ prefix ], traditional, add );
-		}
-	}
-
-	// Return the resulting serialization
-	return s.join( "&" );
-};
-
-jQuery.fn.extend( {
-	serialize: function() {
-		return jQuery.param( this.serializeArray() );
-	},
-	serializeArray: function() {
-		return this.map( function() {
-
-			// Can add propHook for "elements" to filter or add form elements
-			var elements = jQuery.prop( this, "elements" );
-			return elements ? jQuery.makeArray( elements ) : this;
-		} )
-		.filter( function() {
-			var type = this.type;
-
-			// Use .is( ":disabled" ) so that fieldset[disabled] works
-			return this.name && !jQuery( this ).is( ":disabled" ) &&
-				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
-				( this.checked || !rcheckableType.test( type ) );
-		} )
-		.map( function( _i, elem ) {
-			var val = jQuery( this ).val();
-
-			if ( val == null ) {
-				return null;
-			}
-
-			if ( Array.isArray( val ) ) {
-				return jQuery.map( val, function( val ) {
-					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
-				} );
-			}
-
-			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
-		} ).get();
-	}
-} );
-
-
-var
-	r20 = /%20/g,
-	rhash = /#.*$/,
-	rantiCache = /([?&])_=[^&]*/,
-	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
-
-	// #7653, #8125, #8152: local protocol detection
-	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
-	rnoContent = /^(?:GET|HEAD)$/,
-	rprotocol = /^\/\//,
-
-	/* Prefilters
-	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
-	 * 2) These are called:
-	 *    - BEFORE asking for a transport
-	 *    - AFTER param serialization (s.data is a string if s.processData is true)
-	 * 3) key is the dataType
-	 * 4) the catchall symbol "*" can be used
-	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
-	 */
-	prefilters = {},
-
-	/* Transports bindings
-	 * 1) key is the dataType
-	 * 2) the catchall symbol "*" can be used
-	 * 3) selection will start with transport dataType and THEN go to "*" if needed
-	 */
-	transports = {},
-
-	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
-	allTypes = "*/".concat( "*" ),
-
-	// Anchor tag for parsing the document origin
-	originAnchor = document.createElement( "a" );
-	originAnchor.href = location.href;
-
-// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
-function addToPrefiltersOrTransports( structure ) {
-
-	// dataTypeExpression is optional and defaults to "*"
-	return function( dataTypeExpression, func ) {
-
-		if ( typeof dataTypeExpression !== "string" ) {
-			func = dataTypeExpression;
-			dataTypeExpression = "*";
-		}
-
-		var dataType,
-			i = 0,
-			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
-
-		if ( isFunction( func ) ) {
-
-			// For each dataType in the dataTypeExpression
-			while ( ( dataType = dataTypes[ i++ ] ) ) {
-
-				// Prepend if requested
-				if ( dataType[ 0 ] === "+" ) {
-					dataType = dataType.slice( 1 ) || "*";
-					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
-
-				// Otherwise append
-				} else {
-					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
-				}
-			}
-		}
-	};
-}
-
-// Base inspection function for prefilters and transports
-function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
-
-	var inspected = {},
-		seekingTransport = ( structure === transports );
-
-	function inspect( dataType ) {
-		var selected;
-		inspected[ dataType ] = true;
-		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
-			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
-			if ( typeof dataTypeOrTransport === "string" &&
-				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
-
-				options.dataTypes.unshift( dataTypeOrTransport );
-				inspect( dataTypeOrTransport );
-				return false;
-			} else if ( seekingTransport ) {
-				return !( selected = dataTypeOrTransport );
-			}
-		} );
-		return selected;
-	}
-
-	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
-}
-
-// A special extend for ajax options
-// that takes "flat" options (not to be deep extended)
-// Fixes #9887
-function ajaxExtend( target, src ) {
-	var key, deep,
-		flatOptions = jQuery.ajaxSettings.flatOptions || {};
-
-	for ( key in src ) {
-		if ( src[ key ] !== undefined ) {
-			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
-		}
-	}
-	if ( deep ) {
-		jQuery.extend( true, target, deep );
-	}
-
-	return target;
-}
-
-/* Handles responses to an ajax request:
- * - finds the right dataType (mediates between content-type and expected dataType)
- * - returns the corresponding response
- */
-function ajaxHandleResponses( s, jqXHR, responses ) {
-
-	var ct, type, finalDataType, firstDataType,
-		contents = s.contents,
-		dataTypes = s.dataTypes;
-
-	// Remove auto dataType and get content-type in the process
-	while ( dataTypes[ 0 ] === "*" ) {
-		dataTypes.shift();
-		if ( ct === undefined ) {
-			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
-		}
-	}
-
-	// Check if we're dealing with a known content-type
-	if ( ct ) {
-		for ( type in contents ) {
-			if ( contents[ type ] && contents[ type ].test( ct ) ) {
-				dataTypes.unshift( type );
-				break;
-			}
-		}
-	}
-
-	// Check to see if we have a response for the expected dataType
-	if ( dataTypes[ 0 ] in responses ) {
-		finalDataType = dataTypes[ 0 ];
-	} else {
-
-		// Try convertible dataTypes
-		for ( type in responses ) {
-			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
-				finalDataType = type;
-				break;
-			}
-			if ( !firstDataType ) {
-				firstDataType = type;
-			}
-		}
-
-		// Or just use first one
-		finalDataType = finalDataType || firstDataType;
-	}
-
-	// If we found a dataType
-	// We add the dataType to the list if needed
-	// and return the corresponding response
-	if ( finalDataType ) {
-		if ( finalDataType !== dataTypes[ 0 ] ) {
-			dataTypes.unshift( finalDataType );
-		}
-		return responses[ finalDataType ];
-	}
-}
-
-/* Chain conversions given the request and the original response
- * Also sets the responseXXX fields on the jqXHR instance
- */
-function ajaxConvert( s, response, jqXHR, isSuccess ) {
-	var conv2, current, conv, tmp, prev,
-		converters = {},
-
-		// Work with a copy of dataTypes in case we need to modify it for conversion
-		dataTypes = s.dataTypes.slice();
-
-	// Create converters map with lowercased keys
-	if ( dataTypes[ 1 ] ) {
-		for ( conv in s.converters ) {
-			converters[ conv.toLowerCase() ] = s.converters[ conv ];
-		}
-	}
-
-	current = dataTypes.shift();
-
-	// Convert to each sequential dataType
-	while ( current ) {
-
-		if ( s.responseFields[ current ] ) {
-			jqXHR[ s.responseFields[ current ] ] = response;
-		}
-
-		// Apply the dataFilter if provided
-		if ( !prev && isSuccess && s.dataFilter ) {
-			response = s.dataFilter( response, s.dataType );
-		}
-
-		prev = current;
-		current = dataTypes.shift();
-
-		if ( current ) {
-
-			// There's only work to do if current dataType is non-auto
-			if ( current === "*" ) {
-
-				current = prev;
-
-			// Convert response if prev dataType is non-auto and differs from current
-			} else if ( prev !== "*" && prev !== current ) {
-
-				// Seek a direct converter
-				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
-
-				// If none found, seek a pair
-				if ( !conv ) {
-					for ( conv2 in converters ) {
-
-						// If conv2 outputs current
-						tmp = conv2.split( " " );
-						if ( tmp[ 1 ] === current ) {
-
-							// If prev can be converted to accepted input
-							conv = converters[ prev + " " + tmp[ 0 ] ] ||
-								converters[ "* " + tmp[ 0 ] ];
-							if ( conv ) {
-
-								// Condense equivalence converters
-								if ( conv === true ) {
-									conv = converters[ conv2 ];
-
-								// Otherwise, insert the intermediate dataType
-								} else if ( converters[ conv2 ] !== true ) {
-									current = tmp[ 0 ];
-									dataTypes.unshift( tmp[ 1 ] );
-								}
-								break;
-							}
-						}
-					}
-				}
-
-				// Apply converter (if not an equivalence)
-				if ( conv !== true ) {
-
-					// Unless errors are allowed to bubble, catch and return them
-					if ( conv && s.throws ) {
-						response = conv( response );
-					} else {
-						try {
-							response = conv( response );
-						} catch ( e ) {
-							return {
-								state: "parsererror",
-								error: conv ? e : "No conversion from " + prev + " to " + current
-							};
-						}
-					}
-				}
-			}
-		}
-	}
-
-	return { state: "success", data: response };
-}
-
-jQuery.extend( {
-
-	// Counter for holding the number of active queries
-	active: 0,
-
-	// Last-Modified header cache for next request
-	lastModified: {},
-	etag: {},
-
-	ajaxSettings: {
-		url: location.href,
-		type: "GET",
-		isLocal: rlocalProtocol.test( location.protocol ),
-		global: true,
-		processData: true,
-		async: true,
-		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
-
-		/*
-		timeout: 0,
-		data: null,
-		dataType: null,
-		username: null,
-		password: null,
-		cache: null,
-		throws: false,
-		traditional: false,
-		headers: {},
-		*/
-
-		accepts: {
-			"*": allTypes,
-			text: "text/plain",
-			html: "text/html",
-			xml: "application/xml, text/xml",
-			json: "application/json, text/javascript"
-		},
-
-		contents: {
-			xml: /\bxml\b/,
-			html: /\bhtml/,
-			json: /\bjson\b/
-		},
-
-		responseFields: {
-			xml: "responseXML",
-			text: "responseText",
-			json: "responseJSON"
-		},
-
-		// Data converters
-		// Keys separate source (or catchall "*") and destination types with a single space
-		converters: {
-
-			// Convert anything to text
-			"* text": String,
-
-			// Text to html (true = no transformation)
-			"text html": true,
-
-			// Evaluate text as a json expression
-			"text json": JSON.parse,
-
-			// Parse text as xml
-			"text xml": jQuery.parseXML
-		},
-
-		// For options that shouldn't be deep extended:
-		// you can add your own custom options here if
-		// and when you create one that shouldn't be
-		// deep extended (see ajaxExtend)
-		flatOptions: {
-			url: true,
-			context: true
-		}
-	},
-
-	// Creates a full fledged settings object into target
-	// with both ajaxSettings and settings fields.
-	// If target is omitted, writes into ajaxSettings.
-	ajaxSetup: function( target, settings ) {
-		return settings ?
-
-			// Building a settings object
-			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
-
-			// Extending ajaxSettings
-			ajaxExtend( jQuery.ajaxSettings, target );
-	},
-
-	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
-	ajaxTransport: addToPrefiltersOrTransports( transports ),
-
-	// Main method
-	ajax: function( url, options ) {
-
-		// If url is an object, simulate pre-1.5 signature
-		if ( typeof url === "object" ) {
-			options = url;
-			url = undefined;
-		}
-
-		// Force options to be an object
-		options = options || {};
-
-		var transport,
-
-			// URL without anti-cache param
-			cacheURL,
-
-			// Response headers
-			responseHeadersString,
-			responseHeaders,
-
-			// timeout handle
-			timeoutTimer,
-
-			// Url cleanup var
-			urlAnchor,
-
-			// Request state (becomes false upon send and true upon completion)
-			completed,
-
-			// To know if global events are to be dispatched
-			fireGlobals,
-
-			// Loop variable
-			i,
-
-			// uncached part of the url
-			uncached,
-
-			// Create the final options object
-			s = jQuery.ajaxSetup( {}, options ),
-
-			// Callbacks context
-			callbackContext = s.context || s,
-
-			// Context for global events is callbackContext if it is a DOM node or jQuery collection
-			globalEventContext = s.context &&
-				( callbackContext.nodeType || callbackContext.jquery ) ?
-					jQuery( callbackContext ) :
-					jQuery.event,
-
-			// Deferreds
-			deferred = jQuery.Deferred(),
-			completeDeferred = jQuery.Callbacks( "once memory" ),
-
-			// Status-dependent callbacks
-			statusCode = s.statusCode || {},
-
-			// Headers (they are sent all at once)
-			requestHeaders = {},
-			requestHeadersNames = {},
-
-			// Default abort message
-			strAbort = "canceled",
-
-			// Fake xhr
-			jqXHR = {
-				readyState: 0,
-
-				// Builds headers hashtable if needed
-				getResponseHeader: function( key ) {
-					var match;
-					if ( completed ) {
-						if ( !responseHeaders ) {
-							responseHeaders = {};
-							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
-								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
-									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
-										.concat( match[ 2 ] );
-							}
-						}
-						match = responseHeaders[ key.toLowerCase() + " " ];
-					}
-					return match == null ? null : match.join( ", " );
-				},
-
-				// Raw string
-				getAllResponseHeaders: function() {
-					return completed ? responseHeadersString : null;
-				},
-
-				// Caches the header
-				setRequestHeader: function( name, value ) {
-					if ( completed == null ) {
-						name = requestHeadersNames[ name.toLowerCase() ] =
-							requestHeadersNames[ name.toLowerCase() ] || name;
-						requestHeaders[ name ] = value;
-					}
-					return this;
-				},
-
-				// Overrides response content-type header
-				overrideMimeType: function( type ) {
-					if ( completed == null ) {
-						s.mimeType = type;
-					}
-					return this;
-				},
-
-				// Status-dependent callbacks
-				statusCode: function( map ) {
-					var code;
-					if ( map ) {
-						if ( completed ) {
-
-							// Execute the appropriate callbacks
-							jqXHR.always( map[ jqXHR.status ] );
-						} else {
-
-							// Lazy-add the new callbacks in a way that preserves old ones
-							for ( code in map ) {
-								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
-							}
-						}
-					}
-					return this;
-				},
-
-				// Cancel the request
-				abort: function( statusText ) {
-					var finalText = statusText || strAbort;
-					if ( transport ) {
-						transport.abort( finalText );
-					}
-					done( 0, finalText );
-					return this;
-				}
-			};
-
-		// Attach deferreds
-		deferred.promise( jqXHR );
-
-		// Add protocol if not provided (prefilters might expect it)
-		// Handle falsy url in the settings object (#10093: consistency with old signature)
-		// We also use the url parameter if available
-		s.url = ( ( url || s.url || location.href ) + "" )
-			.replace( rprotocol, location.protocol + "//" );
-
-		// Alias method option to type as per ticket #12004
-		s.type = options.method || options.type || s.method || s.type;
-
-		// Extract dataTypes list
-		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
-
-		// A cross-domain request is in order when the origin doesn't match the current origin.
-		if ( s.crossDomain == null ) {
-			urlAnchor = document.createElement( "a" );
-
-			// Support: IE <=8 - 11, Edge 12 - 15
-			// IE throws exception on accessing the href property if url is malformed,
-			// e.g. http://example.com:80x/
-			try {
-				urlAnchor.href = s.url;
-
-				// Support: IE <=8 - 11 only
-				// Anchor's host property isn't correctly set when s.url is relative
-				urlAnchor.href = urlAnchor.href;
-				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
-					urlAnchor.protocol + "//" + urlAnchor.host;
-			} catch ( e ) {
-
-				// If there is an error parsing the URL, assume it is crossDomain,
-				// it can be rejected by the transport if it is invalid
-				s.crossDomain = true;
-			}
-		}
-
-		// Convert data if not already a string
-		if ( s.data && s.processData && typeof s.data !== "string" ) {
-			s.data = jQuery.param( s.data, s.traditional );
-		}
-
-		// Apply prefilters
-		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
-
-		// If request was aborted inside a prefilter, stop there
-		if ( completed ) {
-			return jqXHR;
-		}
-
-		// We can fire global events as of now if asked to
-		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
-		fireGlobals = jQuery.event && s.global;
-
-		// Watch for a new set of requests
-		if ( fireGlobals && jQuery.active++ === 0 ) {
-			jQuery.event.trigger( "ajaxStart" );
-		}
-
-		// Uppercase the type
-		s.type = s.type.toUpperCase();
-
-		// Determine if request has content
-		s.hasContent = !rnoContent.test( s.type );
-
-		// Save the URL in case we're toying with the If-Modified-Since
-		// and/or If-None-Match header later on
-		// Remove hash to simplify url manipulation
-		cacheURL = s.url.replace( rhash, "" );
-
-		// More options handling for requests with no content
-		if ( !s.hasContent ) {
-
-			// Remember the hash so we can put it back
-			uncached = s.url.slice( cacheURL.length );
-
-			// If data is available and should be processed, append data to url
-			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
-				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
-
-				// #9682: remove data so that it's not used in an eventual retry
-				delete s.data;
-			}
-
-			// Add or update anti-cache param if needed
-			if ( s.cache === false ) {
-				cacheURL = cacheURL.replace( rantiCache, "$1" );
-				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
-					uncached;
-			}
-
-			// Put hash and anti-cache on the URL that will be requested (gh-1732)
-			s.url = cacheURL + uncached;
-
-		// Change '%20' to '+' if this is encoded form body content (gh-2658)
-		} else if ( s.data && s.processData &&
-			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
-			s.data = s.data.replace( r20, "+" );
-		}
-
-		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
-		if ( s.ifModified ) {
-			if ( jQuery.lastModified[ cacheURL ] ) {
-				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
-			}
-			if ( jQuery.etag[ cacheURL ] ) {
-				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
-			}
-		}
-
-		// Set the correct header, if data is being sent
-		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
-			jqXHR.setRequestHeader( "Content-Type", s.contentType );
-		}
-
-		// Set the Accepts header for the server, depending on the dataType
-		jqXHR.setRequestHeader(
-			"Accept",
-			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
-				s.accepts[ s.dataTypes[ 0 ] ] +
-					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
-				s.accepts[ "*" ]
-		);
-
-		// Check for headers option
-		for ( i in s.headers ) {
-			jqXHR.setRequestHeader( i, s.headers[ i ] );
-		}
-
-		// Allow custom headers/mimetypes and early abort
-		if ( s.beforeSend &&
-			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
-
-			// Abort if not done already and return
-			return jqXHR.abort();
-		}
-
-		// Aborting is no longer a cancellation
-		strAbort = "abort";
-
-		// Install callbacks on deferreds
-		completeDeferred.add( s.complete );
-		jqXHR.done( s.success );
-		jqXHR.fail( s.error );
-
-		// Get transport
-		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
-
-		// If no transport, we auto-abort
-		if ( !transport ) {
-			done( -1, "No Transport" );
-		} else {
-			jqXHR.readyState = 1;
-
-			// Send global event
-			if ( fireGlobals ) {
-				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
-			}
-
-			// If request was aborted inside ajaxSend, stop there
-			if ( completed ) {
-				return jqXHR;
-			}
-
-			// Timeout
-			if ( s.async && s.timeout > 0 ) {
-				timeoutTimer = window.setTimeout( function() {
-					jqXHR.abort( "timeout" );
-				}, s.timeout );
-			}
-
-			try {
-				completed = false;
-				transport.send( requestHeaders, done );
-			} catch ( e ) {
-
-				// Rethrow post-completion exceptions
-				if ( completed ) {
-					throw e;
-				}
-
-				// Propagate others as results
-				done( -1, e );
-			}
-		}
-
-		// Callback for when everything is done
-		function done( status, nativeStatusText, responses, headers ) {
-			var isSuccess, success, error, response, modified,
-				statusText = nativeStatusText;
-
-			// Ignore repeat invocations
-			if ( completed ) {
-				return;
-			}
-
-			completed = true;
-
-			// Clear timeout if it exists
-			if ( timeoutTimer ) {
-				window.clearTimeout( timeoutTimer );
-			}
-
-			// Dereference transport for early garbage collection
-			// (no matter how long the jqXHR object will be used)
-			transport = undefined;
-
-			// Cache response headers
-			responseHeadersString = headers || "";
-
-			// Set readyState
-			jqXHR.readyState = status > 0 ? 4 : 0;
-
-			// Determine if successful
-			isSuccess = status >= 200 && status < 300 || status === 304;
-
-			// Get response data
-			if ( responses ) {
-				response = ajaxHandleResponses( s, jqXHR, responses );
-			}
-
-			// Use a noop converter for missing script
-			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
-				s.converters[ "text script" ] = function() {};
-			}
-
-			// Convert no matter what (that way responseXXX fields are always set)
-			response = ajaxConvert( s, response, jqXHR, isSuccess );
-
-			// If successful, handle type chaining
-			if ( isSuccess ) {
-
-				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
-				if ( s.ifModified ) {
-					modified = jqXHR.getResponseHeader( "Last-Modified" );
-					if ( modified ) {
-						jQuery.lastModified[ cacheURL ] = modified;
-					}
-					modified = jqXHR.getResponseHeader( "etag" );
-					if ( modified ) {
-						jQuery.etag[ cacheURL ] = modified;
-					}
-				}
-
-				// if no content
-				if ( status === 204 || s.type === "HEAD" ) {
-					statusText = "nocontent";
-
-				// if not modified
-				} else if ( status === 304 ) {
-					statusText = "notmodified";
-
-				// If we have data, let's convert it
-				} else {
-					statusText = response.state;
-					success = response.data;
-					error = response.error;
-					isSuccess = !error;
-				}
-			} else {
-
-				// Extract error from statusText and normalize for non-aborts
-				error = statusText;
-				if ( status || !statusText ) {
-					statusText = "error";
-					if ( status < 0 ) {
-						status = 0;
-					}
-				}
-			}
-
-			// Set data for the fake xhr object
-			jqXHR.status = status;
-			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
-
-			// Success/Error
-			if ( isSuccess ) {
-				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
-			} else {
-				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
-			}
-
-			// Status-dependent callbacks
-			jqXHR.statusCode( statusCode );
-			statusCode = undefined;
-
-			if ( fireGlobals ) {
-				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
-					[ jqXHR, s, isSuccess ? success : error ] );
-			}
-
-			// Complete
-			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
-
-			if ( fireGlobals ) {
-				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
-
-				// Handle the global AJAX counter
-				if ( !( --jQuery.active ) ) {
-					jQuery.event.trigger( "ajaxStop" );
-				}
-			}
-		}
-
-		return jqXHR;
-	},
-
-	getJSON: function( url, data, callback ) {
-		return jQuery.get( url, data, callback, "json" );
-	},
-
-	getScript: function( url, callback ) {
-		return jQuery.get( url, undefined, callback, "script" );
-	}
-} );
-
-jQuery.each( [ "get", "post" ], function( _i, method ) {
-	jQuery[ method ] = function( url, data, callback, type ) {
-
-		// Shift arguments if data argument was omitted
-		if ( isFunction( data ) ) {
-			type = type || callback;
-			callback = data;
-			data = undefined;
-		}
-
-		// The url can be an options object (which then must have .url)
-		return jQuery.ajax( jQuery.extend( {
-			url: url,
-			type: method,
-			dataType: type,
-			data: data,
-			success: callback
-		}, jQuery.isPlainObject( url ) && url ) );
-	};
-} );
-
-jQuery.ajaxPrefilter( function( s ) {
-	var i;
-	for ( i in s.headers ) {
-		if ( i.toLowerCase() === "content-type" ) {
-			s.contentType = s.headers[ i ] || "";
-		}
-	}
-} );
-
-
-jQuery._evalUrl = function( url, options, doc ) {
-	return jQuery.ajax( {
-		url: url,
-
-		// Make this explicit, since user can override this through ajaxSetup (#11264)
-		type: "GET",
-		dataType: "script",
-		cache: true,
-		async: false,
-		global: false,
-
-		// Only evaluate the response if it is successful (gh-4126)
-		// dataFilter is not invoked for failure responses, so using it instead
-		// of the default converter is kludgy but it works.
-		converters: {
-			"text script": function() {}
-		},
-		dataFilter: function( response ) {
-			jQuery.globalEval( response, options, doc );
-		}
-	} );
-};
-
-
-jQuery.fn.extend( {
-	wrapAll: function( html ) {
-		var wrap;
-
-		if ( this[ 0 ] ) {
-			if ( isFunction( html ) ) {
-				html = html.call( this[ 0 ] );
-			}
-
-			// The elements to wrap the target around
-			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
-
-			if ( this[ 0 ].parentNode ) {
-				wrap.insertBefore( this[ 0 ] );
-			}
-
-			wrap.map( function() {
-				var elem = this;
-
-				while ( elem.firstElementChild ) {
-					elem = elem.firstElementChild;
-				}
-
-				return elem;
-			} ).append( this );
-		}
-
-		return this;
-	},
-
-	wrapInner: function( html ) {
-		if ( isFunction( html ) ) {
-			return this.each( function( i ) {
-				jQuery( this ).wrapInner( html.call( this, i ) );
-			} );
-		}
-
-		return this.each( function() {
-			var self = jQuery( this ),
-				contents = self.contents();
-
-			if ( contents.length ) {
-				contents.wrapAll( html );
-
-			} else {
-				self.append( html );
-			}
-		} );
-	},
-
-	wrap: function( html ) {
-		var htmlIsFunction = isFunction( html );
-
-		return this.each( function( i ) {
-			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
-		} );
-	},
-
-	unwrap: function( selector ) {
-		this.parent( selector ).not( "body" ).each( function() {
-			jQuery( this ).replaceWith( this.childNodes );
-		} );
-		return this;
-	}
-} );
-
-
-jQuery.expr.pseudos.hidden = function( elem ) {
-	return !jQuery.expr.pseudos.visible( elem );
-};
-jQuery.expr.pseudos.visible = function( elem ) {
-	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
-};
-
-
-
-
-jQuery.ajaxSettings.xhr = function() {
-	try {
-		return new window.XMLHttpRequest();
-	} catch ( e ) {}
-};
-
-var xhrSuccessStatus = {
-
-		// File protocol always yields status code 0, assume 200
-		0: 200,
-
-		// Support: IE <=9 only
-		// #1450: sometimes IE returns 1223 when it should be 204
-		1223: 204
-	},
-	xhrSupported = jQuery.ajaxSettings.xhr();
-
-support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
-support.ajax = xhrSupported = !!xhrSupported;
-
-jQuery.ajaxTransport( function( options ) {
-	var callback, errorCallback;
-
-	// Cross domain only allowed if supported through XMLHttpRequest
-	if ( support.cors || xhrSupported && !options.crossDomain ) {
-		return {
-			send: function( headers, complete ) {
-				var i,
-					xhr = options.xhr();
-
-				xhr.open(
-					options.type,
-					options.url,
-					options.async,
-					options.username,
-					options.password
-				);
-
-				// Apply custom fields if provided
-				if ( options.xhrFields ) {
-					for ( i in options.xhrFields ) {
-						xhr[ i ] = options.xhrFields[ i ];
-					}
-				}
-
-				// Override mime type if needed
-				if ( options.mimeType && xhr.overrideMimeType ) {
-					xhr.overrideMimeType( options.mimeType );
-				}
-
-				// X-Requested-With header
-				// For cross-domain requests, seeing as conditions for a preflight are
-				// akin to a jigsaw puzzle, we simply never set it to be sure.
-				// (it can always be set on a per-request basis or even using ajaxSetup)
-				// For same-domain requests, won't change header if already provided.
-				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
-					headers[ "X-Requested-With" ] = "XMLHttpRequest";
-				}
-
-				// Set headers
-				for ( i in headers ) {
-					xhr.setRequestHeader( i, headers[ i ] );
-				}
-
-				// Callback
-				callback = function( type ) {
-					return function() {
-						if ( callback ) {
-							callback = errorCallback = xhr.onload =
-								xhr.onerror = xhr.onabort = xhr.ontimeout =
-									xhr.onreadystatechange = null;
-
-							if ( type === "abort" ) {
-								xhr.abort();
-							} else if ( type === "error" ) {
-
-								// Support: IE <=9 only
-								// On a manual native abort, IE9 throws
-								// errors on any property access that is not readyState
-								if ( typeof xhr.status !== "number" ) {
-									complete( 0, "error" );
-								} else {
-									complete(
-
-										// File: protocol always yields status 0; see #8605, #14207
-										xhr.status,
-										xhr.statusText
-									);
-								}
-							} else {
-								complete(
-									xhrSuccessStatus[ xhr.status ] || xhr.status,
-									xhr.statusText,
-
-									// Support: IE <=9 only
-									// IE9 has no XHR2 but throws on binary (trac-11426)
-									// For XHR2 non-text, let the caller handle it (gh-2498)
-									( xhr.responseType || "text" ) !== "text"  ||
-									typeof xhr.responseText !== "string" ?
-										{ binary: xhr.response } :
-										{ text: xhr.responseText },
-									xhr.getAllResponseHeaders()
-								);
-							}
-						}
-					};
-				};
-
-				// Listen to events
-				xhr.onload = callback();
-				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
-
-				// Support: IE 9 only
-				// Use onreadystatechange to replace onabort
-				// to handle uncaught aborts
-				if ( xhr.onabort !== undefined ) {
-					xhr.onabort = errorCallback;
-				} else {
-					xhr.onreadystatechange = function() {
-
-						// Check readyState before timeout as it changes
-						if ( xhr.readyState === 4 ) {
-
-							// Allow onerror to be called first,
-							// but that will not handle a native abort
-							// Also, save errorCallback to a variable
-							// as xhr.onerror cannot be accessed
-							window.setTimeout( function() {
-								if ( callback ) {
-									errorCallback();
-								}
-							} );
-						}
-					};
-				}
-
-				// Create the abort callback
-				callback = callback( "abort" );
-
-				try {
-
-					// Do send the request (this may raise an exception)
-					xhr.send( options.hasContent && options.data || null );
-				} catch ( e ) {
-
-					// #14683: Only rethrow if this hasn't been notified as an error yet
-					if ( callback ) {
-						throw e;
-					}
-				}
-			},
-
-			abort: function() {
-				if ( callback ) {
-					callback();
-				}
-			}
-		};
-	}
-} );
-
-
-
-
-// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
-jQuery.ajaxPrefilter( function( s ) {
-	if ( s.crossDomain ) {
-		s.contents.script = false;
-	}
-} );
-
-// Install script dataType
-jQuery.ajaxSetup( {
-	accepts: {
-		script: "text/javascript, application/javascript, " +
-			"application/ecmascript, application/x-ecmascript"
-	},
-	contents: {
-		script: /\b(?:java|ecma)script\b/
-	},
-	converters: {
-		"text script": function( text ) {
-			jQuery.globalEval( text );
-			return text;
-		}
-	}
-} );
-
-// Handle cache's special case and crossDomain
-jQuery.ajaxPrefilter( "script", function( s ) {
-	if ( s.cache === undefined ) {
-		s.cache = false;
-	}
-	if ( s.crossDomain ) {
-		s.type = "GET";
-	}
-} );
-
-// Bind script tag hack transport
-jQuery.ajaxTransport( "script", function( s ) {
-
-	// This transport only deals with cross domain or forced-by-attrs requests
-	if ( s.crossDomain || s.scriptAttrs ) {
-		var script, callback;
-		return {
-			send: function( _, complete ) {
-				script = jQuery( "<script>" )
-					.attr( s.scriptAttrs || {} )
-					.prop( { charset: s.scriptCharset, src: s.url } )
-					.on( "load error", callback = function( evt ) {
-						script.remove();
-						callback = null;
-						if ( evt ) {
-							complete( evt.type === "error" ? 404 : 200, evt.type );
-						}
-					} );
-
-				// Use native DOM manipulation to avoid our domManip AJAX trickery
-				document.head.appendChild( script[ 0 ] );
-			},
-			abort: function() {
-				if ( callback ) {
-					callback();
-				}
-			}
-		};
-	}
-} );
-
-
-
-
-var oldCallbacks = [],
-	rjsonp = /(=)\?(?=&|$)|\?\?/;
-
-// Default jsonp settings
-jQuery.ajaxSetup( {
-	jsonp: "callback",
-	jsonpCallback: function() {
-		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
-		this[ callback ] = true;
-		return callback;
-	}
-} );
-
-// Detect, normalize options and install callbacks for jsonp requests
-jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
-
-	var callbackName, overwritten, responseContainer,
-		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
-			"url" :
-			typeof s.data === "string" &&
-				( s.contentType || "" )
-					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
-				rjsonp.test( s.data ) && "data"
-		);
-
-	// Handle iff the expected data type is "jsonp" or we have a parameter to set
-	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
-
-		// Get callback name, remembering preexisting value associated with it
-		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
-			s.jsonpCallback() :
-			s.jsonpCallback;
-
-		// Insert callback into url or form data
-		if ( jsonProp ) {
-			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
-		} else if ( s.jsonp !== false ) {
-			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
-		}
-
-		// Use data converter to retrieve json after script execution
-		s.converters[ "script json" ] = function() {
-			if ( !responseContainer ) {
-				jQuery.error( callbackName + " was not called" );
-			}
-			return responseContainer[ 0 ];
-		};
-
-		// Force json dataType
-		s.dataTypes[ 0 ] = "json";
-
-		// Install callback
-		overwritten = window[ callbackName ];
-		window[ callbackName ] = function() {
-			responseContainer = arguments;
-		};
-
-		// Clean-up function (fires after converters)
-		jqXHR.always( function() {
-
-			// If previous value didn't exist - remove it
-			if ( overwritten === undefined ) {
-				jQuery( window ).removeProp( callbackName );
-
-			// Otherwise restore preexisting value
-			} else {
-				window[ callbackName ] = overwritten;
-			}
-
-			// Save back as free
-			if ( s[ callbackName ] ) {
-
-				// Make sure that re-using the options doesn't screw things around
-				s.jsonpCallback = originalSettings.jsonpCallback;
-
-				// Save the callback name for future use
-				oldCallbacks.push( callbackName );
-			}
-
-			// Call if it was a function and we have a response
-			if ( responseContainer && isFunction( overwritten ) ) {
-				overwritten( responseContainer[ 0 ] );
-			}
-
-			responseContainer = overwritten = undefined;
-		} );
-
-		// Delegate to script
-		return "script";
-	}
-} );
-
-
-
-
-// Support: Safari 8 only
-// In Safari 8 documents created via document.implementation.createHTMLDocument
-// collapse sibling forms: the second one becomes a child of the first one.
-// Because of that, this security measure has to be disabled in Safari 8.
-// https://bugs.webkit.org/show_bug.cgi?id=137337
-support.createHTMLDocument = ( function() {
-	var body = document.implementation.createHTMLDocument( "" ).body;
-	body.innerHTML = "<form></form><form></form>";
-	return body.childNodes.length === 2;
-} )();
-
-
-// Argument "data" should be string of html
-// context (optional): If specified, the fragment will be created in this context,
-// defaults to document
-// keepScripts (optional): If true, will include scripts passed in the html string
-jQuery.parseHTML = function( data, context, keepScripts ) {
-	if ( typeof data !== "string" ) {
-		return [];
-	}
-	if ( typeof context === "boolean" ) {
-		keepScripts = context;
-		context = false;
-	}
-
-	var base, parsed, scripts;
-
-	if ( !context ) {
-
-		// Stop scripts or inline event handlers from being executed immediately
-		// by using document.implementation
-		if ( support.createHTMLDocument ) {
-			context = document.implementation.createHTMLDocument( "" );
-
-			// Set the base href for the created document
-			// so any parsed elements with URLs
-			// are based on the document's URL (gh-2965)
-			base = context.createElement( "base" );
-			base.href = document.location.href;
-			context.head.appendChild( base );
-		} else {
-			context = document;
-		}
-	}
-
-	parsed = rsingleTag.exec( data );
-	scripts = !keepScripts && [];
-
-	// Single tag
-	if ( parsed ) {
-		return [ context.createElement( parsed[ 1 ] ) ];
-	}
-
-	parsed = buildFragment( [ data ], context, scripts );
-
-	if ( scripts && scripts.length ) {
-		jQuery( scripts ).remove();
-	}
-
-	return jQuery.merge( [], parsed.childNodes );
-};
-
-
-/**
- * Load a url into a page
- */
-jQuery.fn.load = function( url, params, callback ) {
-	var selector, type, response,
-		self = this,
-		off = url.indexOf( " " );
-
-	if ( off > -1 ) {
-		selector = stripAndCollapse( url.slice( off ) );
-		url = url.slice( 0, off );
-	}
-
-	// If it's a function
-	if ( isFunction( params ) ) {
-
-		// We assume that it's the callback
-		callback = params;
-		params = undefined;
-
-	// Otherwise, build a param string
-	} else if ( params && typeof params === "object" ) {
-		type = "POST";
-	}
-
-	// If we have elements to modify, make the request
-	if ( self.length > 0 ) {
-		jQuery.ajax( {
-			url: url,
-
-			// If "type" variable is undefined, then "GET" method will be used.
-			// Make value of this field explicit since
-			// user can override it through ajaxSetup method
-			type: type || "GET",
-			dataType: "html",
-			data: params
-		} ).done( function( responseText ) {
-
-			// Save response for use in complete callback
-			response = arguments;
-
-			self.html( selector ?
-
-				// If a selector was specified, locate the right elements in a dummy div
-				// Exclude scripts to avoid IE 'Permission Denied' errors
-				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
-
-				// Otherwise use the full result
-				responseText );
-
-		// If the request succeeds, this function gets "data", "status", "jqXHR"
-		// but they are ignored because response was set above.
-		// If it fails, this function gets "jqXHR", "status", "error"
-		} ).always( callback && function( jqXHR, status ) {
-			self.each( function() {
-				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
-			} );
-		} );
-	}
-
-	return this;
-};
-
-
-
-
-jQuery.expr.pseudos.animated = function( elem ) {
-	return jQuery.grep( jQuery.timers, function( fn ) {
-		return elem === fn.elem;
-	} ).length;
-};
-
-
-
-
-jQuery.offset = {
-	setOffset: function( elem, options, i ) {
-		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
-			position = jQuery.css( elem, "position" ),
-			curElem = jQuery( elem ),
-			props = {};
-
-		// Set position first, in-case top/left are set even on static elem
-		if ( position === "static" ) {
-			elem.style.position = "relative";
-		}
-
-		curOffset = curElem.offset();
-		curCSSTop = jQuery.css( elem, "top" );
-		curCSSLeft = jQuery.css( elem, "left" );
-		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
-			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
-
-		// Need to be able to calculate position if either
-		// top or left is auto and position is either absolute or fixed
-		if ( calculatePosition ) {
-			curPosition = curElem.position();
-			curTop = curPosition.top;
-			curLeft = curPosition.left;
-
-		} else {
-			curTop = parseFloat( curCSSTop ) || 0;
-			curLeft = parseFloat( curCSSLeft ) || 0;
-		}
-
-		if ( isFunction( options ) ) {
-
-			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
-			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
-		}
-
-		if ( options.top != null ) {
-			props.top = ( options.top - curOffset.top ) + curTop;
-		}
-		if ( options.left != null ) {
-			props.left = ( options.left - curOffset.left ) + curLeft;
-		}
-
-		if ( "using" in options ) {
-			options.using.call( elem, props );
-
-		} else {
-			if ( typeof props.top === "number" ) {
-				props.top += "px";
-			}
-			if ( typeof props.left === "number" ) {
-				props.left += "px";
-			}
-			curElem.css( props );
-		}
-	}
-};
-
-jQuery.fn.extend( {
-
-	// offset() relates an element's border box to the document origin
-	offset: function( options ) {
-
-		// Preserve chaining for setter
-		if ( arguments.length ) {
-			return options === undefined ?
-				this :
-				this.each( function( i ) {
-					jQuery.offset.setOffset( this, options, i );
-				} );
-		}
-
-		var rect, win,
-			elem = this[ 0 ];
-
-		if ( !elem ) {
-			return;
-		}
-
-		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
-		// Support: IE <=11 only
-		// Running getBoundingClientRect on a
-		// disconnected node in IE throws an error
-		if ( !elem.getClientRects().length ) {
-			return { top: 0, left: 0 };
-		}
-
-		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
-		rect = elem.getBoundingClientRect();
-		win = elem.ownerDocument.defaultView;
-		return {
-			top: rect.top + win.pageYOffset,
-			left: rect.left + win.pageXOffset
-		};
-	},
-
-	// position() relates an element's margin box to its offset parent's padding box
-	// This corresponds to the behavior of CSS absolute positioning
-	position: function() {
-		if ( !this[ 0 ] ) {
-			return;
-		}
-
-		var offsetParent, offset, doc,
-			elem = this[ 0 ],
-			parentOffset = { top: 0, left: 0 };
-
-		// position:fixed elements are offset from the viewport, which itself always has zero offset
-		if ( jQuery.css( elem, "position" ) === "fixed" ) {
-
-			// Assume position:fixed implies availability of getBoundingClientRect
-			offset = elem.getBoundingClientRect();
-
-		} else {
-			offset = this.offset();
-
-			// Account for the *real* offset parent, which can be the document or its root element
-			// when a statically positioned element is identified
-			doc = elem.ownerDocument;
-			offsetParent = elem.offsetParent || doc.documentElement;
-			while ( offsetParent &&
-				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
-				jQuery.css( offsetParent, "position" ) === "static" ) {
-
-				offsetParent = offsetParent.parentNode;
-			}
-			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
-
-				// Incorporate borders into its offset, since they are outside its content origin
-				parentOffset = jQuery( offsetParent ).offset();
-				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
-				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
-			}
-		}
-
-		// Subtract parent offsets and element margins
-		return {
-			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
-			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
-		};
-	},
-
-	// This method will return documentElement in the following cases:
-	// 1) For the element inside the iframe without offsetParent, this method will return
-	//    documentElement of the parent window
-	// 2) For the hidden or detached element
-	// 3) For body or html element, i.e. in case of the html node - it will return itself
-	//
-	// but those exceptions were never presented as a real life use-cases
-	// and might be considered as more preferable results.
-	//
-	// This logic, however, is not guaranteed and can change at any point in the future
-	offsetParent: function() {
-		return this.map( function() {
-			var offsetParent = this.offsetParent;
-
-			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
-				offsetParent = offsetParent.offsetParent;
-			}
-
-			return offsetParent || documentElement;
-		} );
-	}
-} );
-
-// Create scrollLeft and scrollTop methods
-jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
-	var top = "pageYOffset" === prop;
-
-	jQuery.fn[ method ] = function( val ) {
-		return access( this, function( elem, method, val ) {
-
-			// Coalesce documents and windows
-			var win;
-			if ( isWindow( elem ) ) {
-				win = elem;
-			} else if ( elem.nodeType === 9 ) {
-				win = elem.defaultView;
-			}
-
-			if ( val === undefined ) {
-				return win ? win[ prop ] : elem[ method ];
-			}
-
-			if ( win ) {
-				win.scrollTo(
-					!top ? val : win.pageXOffset,
-					top ? val : win.pageYOffset
-				);
-
-			} else {
-				elem[ method ] = val;
-			}
-		}, method, val, arguments.length );
-	};
-} );
-
-// Support: Safari <=7 - 9.1, Chrome <=37 - 49
-// Add the top/left cssHooks using jQuery.fn.position
-// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
-// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
-// getComputedStyle returns percent when specified for top/left/bottom/right;
-// rather than make the css module depend on the offset module, just check for it here
-jQuery.each( [ "top", "left" ], function( _i, prop ) {
-	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
-		function( elem, computed ) {
-			if ( computed ) {
-				computed = curCSS( elem, prop );
-
-				// If curCSS returns percentage, fallback to offset
-				return rnumnonpx.test( computed ) ?
-					jQuery( elem ).position()[ prop ] + "px" :
-					computed;
-			}
-		}
-	);
-} );
-
-
-// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
-jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
-	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
-		function( defaultExtra, funcName ) {
-
-		// Margin is only for outerHeight, outerWidth
-		jQuery.fn[ funcName ] = function( margin, value ) {
-			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
-				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
-
-			return access( this, function( elem, type, value ) {
-				var doc;
-
-				if ( isWindow( elem ) ) {
-
-					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
-					return funcName.indexOf( "outer" ) === 0 ?
-						elem[ "inner" + name ] :
-						elem.document.documentElement[ "client" + name ];
-				}
-
-				// Get document width or height
-				if ( elem.nodeType === 9 ) {
-					doc = elem.documentElement;
-
-					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
-					// whichever is greatest
-					return Math.max(
-						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
-						elem.body[ "offset" + name ], doc[ "offset" + name ],
-						doc[ "client" + name ]
-					);
-				}
-
-				return value === undefined ?
-
-					// Get width or height on the element, requesting but not forcing parseFloat
-					jQuery.css( elem, type, extra ) :
-
-					// Set width or height on the element
-					jQuery.style( elem, type, value, extra );
-			}, type, chainable ? margin : undefined, chainable );
-		};
-	} );
-} );
-
-
-jQuery.each( [
-	"ajaxStart",
-	"ajaxStop",
-	"ajaxComplete",
-	"ajaxError",
-	"ajaxSuccess",
-	"ajaxSend"
-], function( _i, type ) {
-	jQuery.fn[ type ] = function( fn ) {
-		return this.on( type, fn );
-	};
-} );
-
-
-
-
-jQuery.fn.extend( {
-
-	bind: function( types, data, fn ) {
-		return this.on( types, null, data, fn );
-	},
-	unbind: function( types, fn ) {
-		return this.off( types, null, fn );
-	},
-
-	delegate: function( selector, types, data, fn ) {
-		return this.on( types, selector, data, fn );
-	},
-	undelegate: function( selector, types, fn ) {
-
-		// ( namespace ) or ( selector, types [, fn] )
-		return arguments.length === 1 ?
-			this.off( selector, "**" ) :
-			this.off( types, selector || "**", fn );
-	},
-
-	hover: function( fnOver, fnOut ) {
-		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
-	}
-} );
-
-jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
-	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
-	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
-	function( _i, name ) {
-
-		// Handle event binding
-		jQuery.fn[ name ] = function( data, fn ) {
-			return arguments.length > 0 ?
-				this.on( name, null, data, fn ) :
-				this.trigger( name );
-		};
-	} );
-
-
-
-
-// Support: Android <=4.0 only
-// Make sure we trim BOM and NBSP
-var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
-
-// Bind a function to a context, optionally partially applying any
-// arguments.
-// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
-// However, it is not slated for removal any time soon
-jQuery.proxy = function( fn, context ) {
-	var tmp, args, proxy;
-
-	if ( typeof context === "string" ) {
-		tmp = fn[ context ];
-		context = fn;
-		fn = tmp;
-	}
-
-	// Quick check to determine if target is callable, in the spec
-	// this throws a TypeError, but we will just return undefined.
-	if ( !isFunction( fn ) ) {
-		return undefined;
-	}
-
-	// Simulated bind
-	args = slice.call( arguments, 2 );
-	proxy = function() {
-		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
-	};
-
-	// Set the guid of unique handler to the same of original handler, so it can be removed
-	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
-
-	return proxy;
-};
-
-jQuery.holdReady = function( hold ) {
-	if ( hold ) {
-		jQuery.readyWait++;
-	} else {
-		jQuery.ready( true );
-	}
-};
-jQuery.isArray = Array.isArray;
-jQuery.parseJSON = JSON.parse;
-jQuery.nodeName = nodeName;
-jQuery.isFunction = isFunction;
-jQuery.isWindow = isWindow;
-jQuery.camelCase = camelCase;
-jQuery.type = toType;
-
-jQuery.now = Date.now;
-
-jQuery.isNumeric = function( obj ) {
-
-	// As of jQuery 3.0, isNumeric is limited to
-	// strings and numbers (primitives or objects)
-	// that can be coerced to finite numbers (gh-2662)
-	var type = jQuery.type( obj );
-	return ( type === "number" || type === "string" ) &&
-
-		// parseFloat NaNs numeric-cast false positives ("")
-		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
-		// subtraction forces infinities to NaN
-		!isNaN( obj - parseFloat( obj ) );
-};
-
-jQuery.trim = function( text ) {
-	return text == null ?
-		"" :
-		( text + "" ).replace( rtrim, "" );
-};
-
-
-
-// Register as a named AMD module, since jQuery can be concatenated with other
-// files that may use define, but not via a proper concatenation script that
-// understands anonymous AMD modules. A named AMD is safest and most robust
-// way to register. Lowercase jquery is used because AMD module names are
-// derived from file names, and jQuery is normally delivered in a lowercase
-// file name. Do this after creating the global so that if an AMD module wants
-// to call noConflict to hide this version of jQuery, it will work.
-
-// Note that for maximum portability, libraries that are not jQuery should
-// declare themselves as anonymous modules, and avoid setting a global if an
-// AMD loader is present. jQuery is a special case. For more information, see
-// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
-
-if ( typeof define === "function" && define.amd ) {
-	define( "jquery", [], function() {
-		return jQuery;
-	} );
-}
-
-
-
-
-var
-
-	// Map over jQuery in case of overwrite
-	_jQuery = window.jQuery,
-
-	// Map over the $ in case of overwrite
-	_$ = window.$;
-
-jQuery.noConflict = function( deep ) {
-	if ( window.$ === jQuery ) {
-		window.$ = _$;
-	}
-
-	if ( deep && window.jQuery === jQuery ) {
-		window.jQuery = _jQuery;
-	}
-
-	return jQuery;
-};
-
-// Expose jQuery and $ identifiers, even in AMD
-// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
-// and CommonJS for browser emulators (#13566)
-if ( typeof noGlobal === "undefined" ) {
-	window.jQuery = window.$ = jQuery;
-}
-
-
-
-
-return jQuery;
-} );
diff --git a/dev/_static/jquery.js b/dev/_static/jquery.js
deleted file mode 100644
index b0614034a..000000000
--- a/dev/_static/jquery.js
+++ /dev/null
@@ -1,2 +0,0 @@
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new file mode 100644
index 000000000..5de36d7fd
--- /dev/null
+++ b/dev/_static/jupyterlite_badge_logo.svg
@@ -0,0 +1,3 @@
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diff --git a/dev/_static/language_data.js b/dev/_static/language_data.js
index ebe2f03bf..250f5665f 100644
--- a/dev/_static/language_data.js
+++ b/dev/_static/language_data.js
@@ -5,12 +5,12 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
 
-var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
 
 
 /* Non-minified version is copied as a separate JS file, is available */
@@ -197,101 +197,3 @@ var Stemmer = function() {
   }
 }
 
-
-
-
-var splitChars = (function() {
-    var result = {};
-    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
-         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
-         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
-         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
-         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
-         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
-         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
-         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
-         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
-         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
-    var i, j, start, end;
-    for (i = 0; i < singles.length; i++) {
-        result[singles[i]] = true;
-    }
-    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
-         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
-         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
-         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
-         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
-         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
-         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
-         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
-         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
-         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
-         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
-         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
-         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
-         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
-         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
-         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
-         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
-         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
-         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
-         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
-         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
-         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
-         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
-         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
-         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
-         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
-         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
-         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
-         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
-         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
-         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
-         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
-         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
-         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
-         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
-         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
-         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
-         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
-         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
-         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
-         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
-         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
-         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
-         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
-         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
-         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
-         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
-         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
-         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
-    for (i = 0; i < ranges.length; i++) {
-        start = ranges[i][0];
-        end = ranges[i][1];
-        for (j = start; j <= end; j++) {
-            result[j] = true;
-        }
-    }
-    return result;
-})();
-
-function splitQuery(query) {
-    var result = [];
-    var start = -1;
-    for (var i = 0; i < query.length; i++) {
-        if (splitChars[query.charCodeAt(i)]) {
-            if (start !== -1) {
-                result.push(query.slice(start, i));
-                start = -1;
-            }
-        } else if (start === -1) {
-            start = i;
-        }
-    }
-    if (start !== -1) {
-        result.push(query.slice(start));
-    }
-    return result;
-}
-
-
diff --git a/dev/_static/locales/ar/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ar/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..15541a6a375f93efed3f410c2f892174ba91aaa0
GIT binary patch
literal 1541
zcmZvaJ!}+56vrn40$lhsA5n;v3<UuqEnlKQXI*2kB_vQRa1ibKZrI!8JhR%J1>9lh
z&UUPnK|(?lfROD&7suGxxK0yMQ@o*|gesy+5vu&(?mBh?qn-WTn|=G<|NZw~b#1&Y
zus*}?#(shQ752{`;fA&4V<B*ft+;&xZUeV~d%&$=H@F}C8r%z3z%K9-xC2z+PS6%?
zf?Vepa65Px+y>5qyTPS`e-!60i}(%5{r(0^;D!zP`#V66yFspV7<>kvF5*86z5`j$
z=8ez}?gu^a8}Li;DtHLIQScsk0P*i2&-V)CK7WC%Q*07qAJ7GU4juvd{a%p0tQWim
zeu4N7$oY#!{2XK-Ul-?ZLAIP{VE@?5Oee^5uV0WLc46~8yjT}6*2P}4uiOhI#i!V;
zXZ>RTx%Xyl*phu;(K~`m+PV^FjkZeL1V5sYI1K7moHI9c!}v9+ja5U&{2;G|4YhWh
zm^7}c{~g+Tn8?Tvl<2F47Nu9i{<P6Zs<Bd94x5@17yQJ^G^+Vl)uhpgQ(di#ZzCl5
zT82rIDlrg;8byp8IM**O=lx<8nIyC(9ub$LdZ=&8Ue-2PSHntVcR7^LG-!gLp``Y&
zhk<WHG|}p&&D9z1lQ)TCbv-m`A$wi<Bn<)ul?szUiuqnut#`iWT~Tp@YGs-C_qe~8
zbuL{zf3a`v`N?A^N`<lB;7Fv((n7%TsNsjYM^@{8oG4rQZm{1wvz8b8I=QA|uTNJ^
zE!06-o*4>l>4L9=6uy?FAD0FiY3w(=eiIKTWvQbqOe&{(Wd5^qM9YH}dGcsaNzja&
zq-k29Wt#nO;9At7wwrWQc-|J&abpO^Bu%@f8>dB@7kE5QPu!GiO4q{asH8bJN^P3Y
zvv7uYJM=8C@P0OzYSB}gLot+ZNt#(-bAo<z6Im&Gin<+0{5K2HJfzJ__o1vwTB4Oq
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AsQ>@~

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ar/LC_MESSAGES/booktheme.po b/dev/_static/locales/ar/LC_MESSAGES/booktheme.po
index b5c145f5c..1237f3432 100644
--- a/dev/_static/locales/ar/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: ar\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "مخزن"
-
-msgid "open issue"
-msgstr "قضية مفتوحة"
-
-msgid "Contents"
-msgstr "محتويات"
-
-msgid "Fullscreen mode"
-msgstr "وضع ملء الشاشة"
-
-msgid "Download this page"
-msgstr "قم بتنزيل هذه الصفحة"
-
 msgid "Download source file"
 msgstr "تنزيل ملف المصدر"
 
-msgid "Launch"
-msgstr "إطلاق"
-
-msgid "Edit this page"
-msgstr "قم بتحرير هذه الصفحة"
+msgid "suggest edit"
+msgstr "أقترح تحرير"
 
 msgid "Toggle navigation"
 msgstr "تبديل التنقل"
 
+msgid "open issue"
+msgstr "قضية مفتوحة"
+
+msgid "Download notebook file"
+msgstr "تنزيل ملف دفتر الملاحظات"
+
+msgid "repository"
+msgstr "مخزن"
+
 msgid "Theme by the"
 msgstr "موضوع بواسطة"
 
-msgid "Source repository"
-msgstr "مستودع المصدر"
+msgid "Print to PDF"
+msgstr "طباعة إلى PDF"
+
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
+
+msgid "Copyright"
+msgstr "حقوق النشر"
 
 msgid "Last updated on"
 msgstr "آخر تحديث في"
 
-msgid "By the"
-msgstr "بواسطة"
+msgid "Launch"
+msgstr "إطلاق"
+
+msgid "Open an issue"
+msgstr "افتح قضية"
+
+msgid "Fullscreen mode"
+msgstr "وضع ملء الشاشة"
 
 msgid "Sphinx Book Theme"
 msgstr "موضوع كتاب أبو الهول"
 
-msgid "Open an issue"
-msgstr "افتح قضية"
+msgid "Contents"
+msgstr "محتويات"
+
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
 
 msgid "next page"
 msgstr "الصفحة التالية"
 
-msgid "Copyright"
-msgstr "حقوق النشر"
-
-msgid "Search this book..."
-msgstr "بحث في هذا الكتاب ..."
-
-msgid "Print to PDF"
-msgstr "طباعة إلى PDF"
+msgid "Source repository"
+msgstr "مستودع المصدر"
 
 msgid "By"
 msgstr "بواسطة"
 
+msgid "By the"
+msgstr "بواسطة"
+
 msgid "previous page"
 msgstr "الصفحة السابقة"
-
-msgid "Search the docs ..."
-msgstr "ابحث في المستندات ..."
-
-msgid "Download notebook file"
-msgstr "تنزيل ملف دفتر الملاحظات"
-
-msgid "suggest edit"
-msgstr "أقترح تحرير"
diff --git a/dev/_static/locales/bg/LC_MESSAGES/booktheme.mo b/dev/_static/locales/bg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..da95120037f8d7c52ad1f166a7682ea55ca47a01
GIT binary patch
literal 1708
zcmaKqOKcQJ5QaOv0vkhkhC?jT2nh&cNkBwFYxY90B_t3AOpcMpyUpy7b@wpSL+}lZ
zc_s=RKte*|C2`<_7URcy7jLdPR->G9h;qvTamgjhjlX8bj}R-P?fIs=y6dm{dw*ZQ
z?5@DG8KWEHSBxzfKYoB0o|Q|4z)!5gYX#T^t^_xLtH5sX6L34Y5iEo2!IR(`P=OzV
zHs>hFdG3I#!TVqr_zYYJPUie2U;izi{|U0*KVSh|x->h#2IP4+$a!{vO>jTB41AmO
zFOci|8~haPLhws)C%7B@Hs=rEKFpioR`3nD2VA{8JAV*le@=j0?>TT6cp2OVJ_ot4
z*WiBe50LY0LeuQ=S0K-igY45ea0fUFvgO<ZuXC*%FxXq}d*OqU#99pYmmlt*AFhYJ
zX8lbVkQN_du<pVKQt2Ij2*Qr^e#N0-{G_cZ@wL%bX&d7s9F79NX2oIiy{;RtDz&j{
z(3tP!nV_!bmt&Je74_bttp%|RJzt65YG9FicG{QJ>v1JgO3NWrRpO`@TbYDa&#J04
z8uLU~YT|f^4W5=k94AWjM}bBXBl{2ciBp+gq(T!1)<nbNR9Fl21$l^T8>p!vCDOMX
z%z7FyzF${Td*=h+vjIf3x?r>F4C`bfVWiFnCdtcQkUma)U!h8cPEd+Dt17m5q+0w&
zMKQ9KWTsza{bH(IICkV%?|gjko-YcyvBiPmP?e-b0iTC;FVH=*QuCr%+4AXuzT$!T
zeUYc*Gb$?f>WZlb+AqligMlp^^|YVB*ODCc3;p#Z^6JGt6Ai^Bsl#*{m-qF^?6bU6
z%dKU(_p_dYpa*V5&_n77dhBk}xVz~t(j+x#hMF`X=r)bH5$d>$?h>`ABk5<v8#KlT
z?$H!t6ZDeWG{IlejUqOUX+t6bUM~<v5E(gNiyDiaLS)Kap$?7nE_Z7#&0?FO)1WD8
zN_WYPq_yywtDN}}gvJqVVNWv+O=ng8|B*@Pzsl-$SKTdYOXO)~sZ(pvI`_cUp`|px
zy9~CuaB4uDi{>bs2r;-dTfq#Q2#?t@q|9teP3*uNPWy^ACfqd~8<8}Y{+a1%CJzCK
zxEruG6KALRI<B!(nV(NM$DHA<H1Lv>VJ-U$3Yy!~NpG7AK|w8QyPuG1485SvTmo%i
zrHNb3JL61fEcXDLQBPwL`;mLLOPayeL#0F0B5ju4Yr5-c6aTq5cjf(V=MS}!0~aLI
KlK*|VZ0$SA#iddJ

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/bg/LC_MESSAGES/booktheme.po b/dev/_static/locales/bg/LC_MESSAGES/booktheme.po
index 4e1bc06a3..45a6ed0a4 100644
--- a/dev/_static/locales/bg/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: bg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "хранилище"
-
-msgid "open issue"
-msgstr "отворен брой"
-
-msgid "Contents"
-msgstr "Съдържание"
-
-msgid "Fullscreen mode"
-msgstr "Режим на цял екран"
-
-msgid "Download this page"
-msgstr "Изтеглете тази страница"
-
 msgid "Download source file"
 msgstr "Изтеглете изходния файл"
 
-msgid "Launch"
-msgstr "Стартиране"
-
-msgid "Edit this page"
-msgstr "Редактирайте тази страница"
+msgid "suggest edit"
+msgstr "предложи редактиране"
 
 msgid "Toggle navigation"
 msgstr "Превключване на навигацията"
 
+msgid "open issue"
+msgstr "отворен брой"
+
+msgid "Download notebook file"
+msgstr "Изтеглете файла на бележника"
+
+msgid "repository"
+msgstr "хранилище"
+
 msgid "Theme by the"
 msgstr "Тема от"
 
-msgid "Source repository"
-msgstr "Хранилище на източника"
+msgid "Print to PDF"
+msgstr "Печат в PDF"
+
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
+
+msgid "Copyright"
+msgstr "Авторско право"
 
 msgid "Last updated on"
 msgstr "Последна актуализация на"
 
-msgid "By the"
-msgstr "По"
+msgid "Launch"
+msgstr "Стартиране"
+
+msgid "Open an issue"
+msgstr "Отворете проблем"
+
+msgid "Fullscreen mode"
+msgstr "Режим на цял екран"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема на книгата Sphinx"
 
-msgid "Open an issue"
-msgstr "Отворете проблем"
+msgid "Contents"
+msgstr "Съдържание"
+
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
 
 msgid "next page"
 msgstr "Следваща страница"
 
-msgid "Copyright"
-msgstr "Авторско право"
-
-msgid "Search this book..."
-msgstr "Търсене в тази книга ..."
-
-msgid "Print to PDF"
-msgstr "Печат в PDF"
+msgid "Source repository"
+msgstr "Хранилище на източника"
 
 msgid "By"
 msgstr "От"
 
+msgid "By the"
+msgstr "По"
+
 msgid "previous page"
 msgstr "предишна страница"
-
-msgid "Search the docs ..."
-msgstr "Търсене в документите ..."
-
-msgid "Download notebook file"
-msgstr "Изтеглете файла на бележника"
-
-msgid "suggest edit"
-msgstr "предложи редактиране"
diff --git a/dev/_static/locales/bn/LC_MESSAGES/booktheme.mo b/dev/_static/locales/bn/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6b96639b726a2fa959a6419b6f8b7e0dfcce33ae
GIT binary patch
literal 1646
zcmbV~&5IOA7>8S<CK+R5jCxX1K@5g4ek25B*1f2^L|Eg3t0ynLGv!PtV^z~#W1L%5
z@B<M~tKwzdkkp7qT^7+1!4JsIvsY7pfVV)-K2_b5%`OWGDQ5cVx9a`;Rli=hVk%;N
z!haM02mCklA6v$Q^&BpTFW@TpJA5C$gd5>2xE{WN>)<k+KZNVyM{o=DabLqVum(SX
z-@=dKk&?}Fzgybpps#ZsR^ZRj$KQp0_yqcT=ADA);Rfs*a4(#Nd*Gj?y>mqrjbP_+
zD|`%n|9`+8@Gtlc{Cs5;eF=|2zkdOGUHYZ{3U0$*$xxrd?Ipj1NbvXay{#>+)sQwK
zLc@BGr=Q8s@3s2pVyti%e$UVEm)Gmv@K$Kxb@iIkGQ)QH3Dc6%KAm>6q}ejje*L3r
z>$oA5HgZzyAH?ybE$6p$-O1{5(WYr7xk%%tj7A!XA>+Uti*qA7X(KkWA+(Cd;*P4f
zqC=@vB32^F^Nx(hvqTZ3#rXcw=x~uglc~-VqqA;wIBg~Bl-TQgnP|xqG73*IS+qW(
zo6WWqDn6MsW0O!s$y282M*BKNku;Mh6WuA>9MAOkvTmve8r7pR%ZaLqqE6M<sfG%b
zg9i?d%%AVtzO%AVD<hSuPIOaQ6NW-N(srDvAyIF|SuV}+k%`gj?s>l~R{3$6RYz1^
zHxkvXiQSWlsf@*{*+H+Gm{gVVb|;J5)lr?D$ZJBS!OVxh8WP3p@HQnr8y3617^+0h
zTGzYm>~GFKb#|8L(pyu`-gfp`;o|IhXQy$z<$9NR^WnYI&Q1wu?}S90&tc32<Dz%8
zbHR6pU2@F^|68Qs@R!g*|9=Eup%cPxyWUx6AB8kGLrGeC#=(E6|8FV!&fW`&86Smg
znB^(C7fgW{BNaM6bUns@gv+@g+Dx#$T%4eipM4M?<fa9Zl`V&QwjYw+rzD<NLm2uI
z>?JEMg4wtZV(;LB0u<-^*y2)npB|JLL@f}SDrcO%Hi&xc%8I{oPgE$%7j?Kgl1>Fz
ze@F9IjWZ|r@GsvuUE*t^AN05zoT<qBLz={Q+IJAXlLcB*mO=O+3q|=le!_Y29a9xu
U`1<AwkrwO5Ir10vW|xY83+ptx-~a#s

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/bn/LC_MESSAGES/booktheme.po b/dev/_static/locales/bn/LC_MESSAGES/booktheme.po
index 6722be298..122a369e5 100644
--- a/dev/_static/locales/bn/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -8,59 +8,56 @@ msgstr ""
 "Language: bn\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "খোলা সমস্যা"
-
-msgid "Download this page"
-msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
-
 msgid "Download source file"
 msgstr "উত্স ফাইল ডাউনলোড করুন"
 
-msgid "Launch"
-msgstr "শুরু করা"
-
-msgid "Edit this page"
-msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
-
 msgid "Toggle navigation"
 msgstr "নেভিগেশন টগল করুন"
 
+msgid "open issue"
+msgstr "খোলা সমস্যা"
+
+msgid "Download notebook file"
+msgstr "নোটবুক ফাইল ডাউনলোড করুন"
+
 msgid "Theme by the"
 msgstr "থিম দ্বারা"
 
-msgid "Source repository"
-msgstr "উত্স সংগ্রহস্থল"
+msgid "Print to PDF"
+msgstr "পিডিএফ প্রিন্ট করুন"
+
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
+
+msgid "Copyright"
+msgstr "কপিরাইট"
 
 msgid "Last updated on"
 msgstr "সর্বশেষ আপডেট"
 
-msgid "By the"
-msgstr "দ্বারা"
+msgid "Launch"
+msgstr "শুরু করা"
+
+msgid "Open an issue"
+msgstr "একটি সমস্যা খুলুন"
 
 msgid "Sphinx Book Theme"
 msgstr "স্পিনিক্স বুক থিম"
 
-msgid "Open an issue"
-msgstr "একটি সমস্যা খুলুন"
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
 
 msgid "next page"
 msgstr "পরবর্তী পৃষ্ঠা"
 
-msgid "Copyright"
-msgstr "কপিরাইট"
-
-msgid "Search this book..."
-msgstr "এই বইটি অনুসন্ধান করুন ..."
-
-msgid "Print to PDF"
-msgstr "পিডিএফ প্রিন্ট করুন"
+msgid "Source repository"
+msgstr "উত্স সংগ্রহস্থল"
 
 msgid "By"
 msgstr "দ্বারা"
 
+msgid "By the"
+msgstr "দ্বারা"
+
 msgid "previous page"
 msgstr "আগের পৃষ্ঠা"
-
-msgid "Download notebook file"
-msgstr "নোটবুক ফাইল ডাউনলোড করুন"
diff --git a/dev/_static/locales/ca/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ca/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a4dd30e9bd762578b119c4401d082ea4fa430613
GIT binary patch
literal 1246
zcmZvaziSjh6vs!6zs{fW7YGVZu!zN}Q46_{Cb<hl5)#NoENtfXUiL<JXV%$SbFr`$
zON&@3SgDmoY(!#pb|NTPh=QGegN=pXcehDI9Cr4z^W)9;`{wPBBSWhS?HKwg^mX*p
z=r_0Fh4u;D4t@rAfnUJA;CJu@_!E@a-{28&7@H4*XTd|@Wl-WK!2{qma6fnh90s}M
zaykF796ts{=OtJH*FcGX2TJ@0@D2DC+yOqqOLSI2iF*P{9?!w!;CoQ=`v!{dU*Jjb
z;E+=Lz!C5;cm)*S4N&|og0epb_kj07Iqv}|`=5g1>s2{kFZmI~m25V-8`&>S^dPTx
z$^cEyl^jJ+?oOKAsWhagj`qI>dC8~bzq_0hZSgC)LsF@U6+9F=tR`Ky;!WHMs_vF;
z;&hv=3*2(<HZ7Tix2AJf_=x|R3>}kGreju(wh1_KV>qMpKt<Npf!pM)n$d-gI%+Os
zOWKmj^Mcj9Hx@yT=Ic{xVQ{|Z%;hFHzoHhhj<H>u5HHORr>y#KY7MM6T^uJ&R^K(T
z4hABYyJ6tQiOxVI^L*F1qO_S8am=vBunT>6i=$ATZdb3f&v8VJ2BK9Ft@h<Av(vMU
zt@Y9K7b}y_2DYKvT*<gb0jd|WL>oIsQAhin!}wxzs(N*6pVu~DVqb08$hD1)Yjm|`
zLS;tVxWMJrDAJYrr0_baPC1|EHL_WMn2%o?qrvC+h@~^*G<t5VqUPC4r$ql<K+YrW
zJ;&OkN}-GOHq)I#x7k}Yp-q<y;$&lO2}!8>MofV<eW$?HXv%ueVq<l`r2m<&i-^~x
zqfqF?gnK$Nz1KKd%_Q3PUg#8eqvl%P6jWHUy|*cQr>4`)o0LtLbidwpll9h6X)!5Y
za@FKiW0X*mn3iX1<V&dk<}^}G(*phyEk#G3qN_@`lylr$7v)lrT#G$wJV*vVU0`pV
OSN%W08!x{=|A0SA@;E&J

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ca/LC_MESSAGES/booktheme.po b/dev/_static/locales/ca/LC_MESSAGES/booktheme.po
index 546e395ee..c757deb8e 100644
--- a/dev/_static/locales/ca/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: ca\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "número obert"
-
-msgid "Download this page"
-msgstr "Descarregueu aquesta pàgina"
-
 msgid "Download source file"
 msgstr "Baixeu el fitxer font"
 
-msgid "Launch"
-msgstr "Llançament"
-
-msgid "Edit this page"
-msgstr "Editeu aquesta pàgina"
+msgid "suggest edit"
+msgstr "suggerir edició"
 
 msgid "Toggle navigation"
 msgstr "Commuta la navegació"
 
+msgid "open issue"
+msgstr "número obert"
+
+msgid "Download notebook file"
+msgstr "Descarregar fitxer de quadern"
+
 msgid "Theme by the"
 msgstr "Tema del"
 
-msgid "Source repository"
-msgstr "Dipòsit de fonts"
+msgid "Print to PDF"
+msgstr "Imprimeix a PDF"
+
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
+
+msgid "Copyright"
+msgstr "Copyright"
 
 msgid "Last updated on"
 msgstr "Darrera actualització el"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Launch"
+msgstr "Llançament"
+
+msgid "Open an issue"
+msgstr "Obriu un número"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del llibre Esfinx"
 
-msgid "Open an issue"
-msgstr "Obriu un número"
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
 
 msgid "next page"
 msgstr "pàgina següent"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Search this book..."
-msgstr "Cerca en aquest llibre ..."
-
-msgid "Print to PDF"
-msgstr "Imprimeix a PDF"
+msgid "Source repository"
+msgstr "Dipòsit de fonts"
 
 msgid "By"
 msgstr "Per"
 
+msgid "By the"
+msgstr "Per la"
+
 msgid "previous page"
 msgstr "Pàgina anterior"
-
-msgid "Download notebook file"
-msgstr "Descarregar fitxer de quadern"
-
-msgid "suggest edit"
-msgstr "suggerir edició"
diff --git a/dev/_static/locales/cs/LC_MESSAGES/booktheme.mo b/dev/_static/locales/cs/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..c39e01a6ae9ae5242f04566ffa2cda96b328ca18
GIT binary patch
literal 1405
zcmZ9Lzi$*r6vu}E2^@s*J4jf`OA$zl<ChRZXI%r>k|l^w_?&_QX>NDCJM7-fGBbN{
zu90Y<g92HKbfpWo2||K`wWa(4Ns}T{s#K}cgev*I+l_1(?ab%q?ace}eS5zj-Sb>v
ze2zJT`3vTkm``?L!Pxha5O~CXEFXgh!F}K{a6dQ$o&?W;$H6Xm6ub={0u}ff7#cnT
z+0QfZQ*aGD2(E)iz#kj_+}M9>_J4vL?;Y3zckiz69|Czl1G1m9;7jl_xEK7Z;olA4
zfrnxL7yKGLyhn&Hz$@Tsa2Y%S-Uqp^$KWaO2ax0Z1af_E!2{s0AfNlAvHt_IJ_it-
z&m9L@hqKN83dlMwfSm7Lkn7GsmYi+Vd*Crl_RV$g90)P3f&KE}ym+u5)|z$Y8sKu8
zBlmXaVEsAAPcR|Fw7=ro7!QS1iR;z`WrD|#V(fI1264kaFu9d685`8V+Kg6ouC~qI
zmM&5s7(=Q(6*5s`F4h6A|KHA+dF~^pl%b)GmAEN=pt6W%P%&A9eQBapEEYH*4QcO7
zC3;R9II+~bF)x<tcup18>tNkjEETCX59u1`)=$+?iRns%x~9HOl3bCIBb~^g5yYs6
zq0Y{7oH|J1)JWU1NqdKTUnYq{mI{?16?;!bp}i2dzgNz~TZiiSZI0ibMsD3&xHY%^
z{^Gd{twz{(e_W^z1tf63$fY*36s6L66}rp)`S#WAb50t+qFj5<L^jqY>Cn}I4y~Kg
zBqen1P~=;^ymT^e&s#V29Wupq>${g`ss7ph#?V(?y7=vEOZ04vuGQ<}z{^y~66*P^
zno!}Y$w-Q&P)$-}%RuPqz&a}Is;MT!%#Nz{)Y2fgS=pT0Tnmc4rqvjN;Qj07&Ihjp
zVvrB;Z*X<FaA*QL`JVN*+Ipjh6sf#gCp&O*)sC{U_)en1xr)amvrx)h!wff8+>vQD
zxu;CEAr^xgZM{%PrEqqD`$N&!KBKt)RPHp%tyA?Xw}`Se37c!8k8_eTqth`htw3AZ
zm~1S1a92z<sK1v;i&*AclWK#@kVXpp3pl1hvYSt<4WC<4U>`@RU9C@Xu~NJj63$#L
LZS{&p7>oY^Ev$2?

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/cs/LC_MESSAGES/booktheme.po b/dev/_static/locales/cs/LC_MESSAGES/booktheme.po
index 48895566a..3571c23b4 100644
--- a/dev/_static/locales/cs/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: cs\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "úložiště"
-
-msgid "open issue"
-msgstr "otevřené číslo"
-
-msgid "Contents"
-msgstr "Obsah"
-
-msgid "Fullscreen mode"
-msgstr "Režim celé obrazovky"
-
-msgid "Download this page"
-msgstr "Stáhněte si tuto stránku"
-
 msgid "Download source file"
 msgstr "Stáhněte si zdrojový soubor"
 
-msgid "Launch"
-msgstr "Zahájení"
-
-msgid "Edit this page"
-msgstr "Upravit tuto stránku"
+msgid "suggest edit"
+msgstr "navrhnout úpravy"
 
 msgid "Toggle navigation"
 msgstr "Přepnout navigaci"
 
+msgid "open issue"
+msgstr "otevřené číslo"
+
+msgid "Download notebook file"
+msgstr "Stáhnout soubor poznámkového bloku"
+
+msgid "repository"
+msgstr "úložiště"
+
 msgid "Theme by the"
 msgstr "Téma od"
 
-msgid "Source repository"
-msgstr "Zdrojové úložiště"
+msgid "Print to PDF"
+msgstr "Tisk do PDF"
+
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
+
+msgid "Copyright"
+msgstr "autorská práva"
 
 msgid "Last updated on"
 msgstr "Naposledy aktualizováno"
 
-msgid "By the"
-msgstr "Podle"
+msgid "Launch"
+msgstr "Zahájení"
+
+msgid "Open an issue"
+msgstr "Otevřete problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celé obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Open an issue"
-msgstr "Otevřete problém"
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
 
 msgid "next page"
 msgstr "další strana"
 
-msgid "Copyright"
-msgstr "autorská práva"
-
-msgid "Search this book..."
-msgstr "Hledat v této knize ..."
-
-msgid "Print to PDF"
-msgstr "Tisk do PDF"
+msgid "Source repository"
+msgstr "Zdrojové úložiště"
 
 msgid "By"
 msgstr "Podle"
 
+msgid "By the"
+msgstr "Podle"
+
 msgid "previous page"
 msgstr "předchozí stránka"
-
-msgid "Search the docs ..."
-msgstr "Hledat v dokumentech ..."
-
-msgid "Download notebook file"
-msgstr "Stáhnout soubor poznámkového bloku"
-
-msgid "suggest edit"
-msgstr "navrhnout úpravy"
diff --git a/dev/_static/locales/da/LC_MESSAGES/booktheme.mo b/dev/_static/locales/da/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f43157d70c63ff21b4385dc36cb73f5b14eb6b01
GIT binary patch
literal 1304
zcmZ9KyKmG$5XKi02pkaJ&;+qGJPH$nD9}aMKoTh;K$JVu@15uDO?<o7?m8q5Rp=<8
zq9u{2=nxgnNr*oH35kM+f{G#q1qFz2&PF-1^7`i)d*_>nzn&U>A+XM4Phfw-zKH#7
zA8uHO_6vba9LDV+coaMYo(2zt6W}@UGI$1TfTzGEa2zD?I2bB!f*j{Lcno|A9tB^6
zC&9NBKUV%PmHi!Ly<cDr92qIkkArMafE?!v_zt`U;u1e9?to*ke}Ww6H+U8t8!dG&
zfTv+kf}H=|%3iLx0v>?>3CQ(qR(uY!{wt8{eFL)2d+-GK0XzbJ2D#pEAm_OQa=bqv
z>yE<Umh(H-=U%d(d&~I_FB}=fW<6f4&x`xVxv>t{#_?I3XFI&O|2#v^6KxpGSKQga
zB|}Q$t~G&7@Oa2KoKDgpX6$2=SrtoT1GTMPm0g|DuG`zfb!d+>q}t0|B_w8J9T57T
zIag$v?>HhOdp0JqpnQ-;9;-mHv<7xzI;nV=;{#=+_P!vo=(Ir)D;H<xM6=X$lv}TZ
zbsM6Yr`oK`JDgi9r5=gFUAD`bS~f{Cl18oRL<J2IL+hc;&azG^k~><{wy4q`3h#>~
zA!JFY1gY2+>V#-Mj+V)JM61hEKVto8pj^8@e}8uO{nYgvwW_gEYa^$+3`k%y&y+UP
zvXd(3DKs9n=AzrX-#KM`ms~V!IyTlOsmt4K9cl~8BnA3fm$9lXW`$E(G-qAU*QLn^
zrf=MwmgQsPs*#r(a_ZW2O)OJ9*z+b%Z59igr)teR+B0C^wn>Bm@6LBsXEFWfiOCp}
zUSoVqXi7p(4!JPl*su1tkyFr_56Z-%sbe(I4#o^g{#-PJazXT;wvB`*ceb5TPdvg|
zr`IHo4yJvN)iV_A{*4(42I?u%!cD5KXs+sR7@qEf{<aTQe*LXBerIWlUJntv*5RM7
SUX?-NBA@lQq$?{yr^R17AT=cb

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/da/LC_MESSAGES/booktheme.po b/dev/_static/locales/da/LC_MESSAGES/booktheme.po
index 675a05fcd..c39223fde 100644
--- a/dev/_static/locales/da/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: da\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "lager"
-
-msgid "open issue"
-msgstr "åbent nummer"
-
-msgid "Contents"
-msgstr "Indhold"
-
-msgid "Fullscreen mode"
-msgstr "Fuldskærmstilstand"
-
-msgid "Download this page"
-msgstr "Download denne side"
-
 msgid "Download source file"
 msgstr "Download kildefil"
 
-msgid "Launch"
-msgstr "Start"
-
-msgid "Edit this page"
-msgstr "Rediger denne side"
+msgid "suggest edit"
+msgstr "foreslå redigering"
 
 msgid "Toggle navigation"
 msgstr "Skift navigation"
 
+msgid "open issue"
+msgstr "åbent nummer"
+
+msgid "Download notebook file"
+msgstr "Download notesbog-fil"
+
+msgid "repository"
+msgstr "lager"
+
 msgid "Theme by the"
 msgstr "Tema af"
 
-msgid "Source repository"
-msgstr "Kildelager"
+msgid "Print to PDF"
+msgstr "Udskriv til PDF"
+
+msgid "Download this page"
+msgstr "Download denne side"
+
+msgid "Copyright"
+msgstr "ophavsret"
 
 msgid "Last updated on"
 msgstr "Sidst opdateret den"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åbn et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fuldskærmstilstand"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx bogtema"
 
-msgid "Open an issue"
-msgstr "Åbn et problem"
+msgid "Contents"
+msgstr "Indhold"
+
+msgid "Edit this page"
+msgstr "Rediger denne side"
 
 msgid "next page"
 msgstr "Næste side"
 
-msgid "Copyright"
-msgstr "ophavsret"
-
-msgid "Search this book..."
-msgstr "Søg i denne bog ..."
-
-msgid "Print to PDF"
-msgstr "Udskriv til PDF"
+msgid "Source repository"
+msgstr "Kildelager"
 
 msgid "By"
 msgstr "Ved"
 
+msgid "By the"
+msgstr "Ved"
+
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Search the docs ..."
-msgstr "Søg i dokumenterne ..."
-
-msgid "Download notebook file"
-msgstr "Download notesbog-fil"
-
-msgid "suggest edit"
-msgstr "foreslå redigering"
diff --git a/dev/_static/locales/de/LC_MESSAGES/booktheme.mo b/dev/_static/locales/de/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..648b565c7829535bc5f26f86909f458d0cd0fe1b
GIT binary patch
literal 1388
zcmZ9LJ!}+57={OM0$d0Q7zl~1WN1hzmOmkZ&bsEXjVu|*@fixbx!vz}2hYu{=Eq<P
zDoRR{CM^vTHA)>)q=$-v3Mo~pNRgs6dB45A_~g;fK07nJ@Atd!PtN@)FuuTCz<i7O
z4d&AWxM3VQC<HEX6t|DTW8e{R9y|&zfM>w-;3=>No&-0+;~;^bfwAQikaeDcpMpPw
z$G{ih3Gh|R-`o9n?fMUp?fnCGz(a>7-ya8gy#TV#x8N_}HSi<wPw+7K7sz)11wRK5
z&Q0Q-2hU=C8T=Yt1y6$&$o@SBIX6#1)_LBpUxFOpZy@Wv0onf#Ab<Ba$U1Xyg5UcJ
z<oydE=i@rae%}JW1UErWImf{H<6O>Ta&9^9*#YUsChPKG9Ug3-wb>5ahNSoell`9^
zoCmHU$Afe<^%ebHTryT9ZaN#u#(;-<*Xy#1V#z(Q#;HPD7is9+wj60gd)vV!pVPk0
zSm_{ZRgzdPbcFPDxsr?txhJx6><SWVDnyy;LPaX1vsfpaSK|8`FDNT@2#Lgo*A^m9
zZY-^c!Ni`Y+65h*-xY(p()OY3vu|4!jY%|jIh@3_<;v2Kv}#9}Dry+9^e|4mb8Kf~
zr1rF<U25H)kq@aX30@K+fh+Dl<uO|=vb*F1)VgwFKV$n@W4UvC_4e}K`IU>8J8fdK
zt=*csGQxpNwNctG%DhrOQ0(2=TFGwgz2}t;Bl6j@&0V2w*_AhjI(F8SEfezEl?8P+
zO!CTPE6$HYSK7K+hThdhIeF}TXXUw`ymDc&BbHF5O7u~OM`<ipZKX^UcYH-d@}BZ4
zlKl0BSZ`~bEukP<R^$^J!W&hP6+a|0hAXxIV2zLEK$9#q1(E~Okehxi`lS4@*_t^P
zcbzdqZ3?tO3gTWe6dy&YwqsI82TdM}u^2?<(UIcyPot4-jgYnybr>4rK)5Mn;Zwdn
zburuA-y2y!<yBJ~)%1pvJI*45UabG$6*7$jYGK&g`s?R;6%a!ciEyJ4Sqe>aDY4^_
YHT)aX(-~_xf`&nTEYd88)4;9x4>RdeS^xk5

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/de/LC_MESSAGES/booktheme.po b/dev/_static/locales/de/LC_MESSAGES/booktheme.po
index 70eaab54d..e22b505f2 100644
--- a/dev/_static/locales/de/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: de\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "Repository"
-
-msgid "open issue"
-msgstr "offenes Thema"
-
-msgid "Contents"
-msgstr "Inhalt"
-
-msgid "Fullscreen mode"
-msgstr "Vollbildmodus"
-
-msgid "Download this page"
-msgstr "Laden Sie diese Seite herunter"
-
 msgid "Download source file"
 msgstr "Quelldatei herunterladen"
 
-msgid "Launch"
-msgstr "Starten"
-
-msgid "Edit this page"
-msgstr "Bearbeite diese Seite"
+msgid "suggest edit"
+msgstr "vorschlagen zu bearbeiten"
 
 msgid "Toggle navigation"
 msgstr "Navigation umschalten"
 
+msgid "open issue"
+msgstr "offenes Thema"
+
+msgid "Download notebook file"
+msgstr "Notebook-Datei herunterladen"
+
+msgid "repository"
+msgstr "Repository"
+
 msgid "Theme by the"
 msgstr "Thema von der"
 
-msgid "Source repository"
-msgstr "Quell-Repository"
+msgid "Print to PDF"
+msgstr "In PDF drucken"
+
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
+
+msgid "Copyright"
+msgstr "Urheberrechte ©"
 
 msgid "Last updated on"
 msgstr "Zuletzt aktualisiert am"
 
-msgid "By the"
-msgstr "Bis zum"
+msgid "Launch"
+msgstr "Starten"
+
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
+
+msgid "Fullscreen mode"
+msgstr "Vollbildmodus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-Buch-Thema"
 
-msgid "Open an issue"
-msgstr "Öffnen Sie ein Problem"
+msgid "Contents"
+msgstr "Inhalt"
+
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
 
 msgid "next page"
 msgstr "Nächste Seite"
 
-msgid "Copyright"
-msgstr "Urheberrechte ©"
-
-msgid "Search this book..."
-msgstr "Dieses Buch durchsuchen ..."
-
-msgid "Print to PDF"
-msgstr "In PDF drucken"
+msgid "Source repository"
+msgstr "Quell-Repository"
 
 msgid "By"
 msgstr "Durch"
 
+msgid "By the"
+msgstr "Bis zum"
+
 msgid "previous page"
 msgstr "vorherige Seite"
-
-msgid "Search the docs ..."
-msgstr "Durchsuchen Sie die Dokumente ..."
-
-msgid "Download notebook file"
-msgstr "Notebook-Datei herunterladen"
-
-msgid "suggest edit"
-msgstr "vorschlagen zu bearbeiten"
diff --git a/dev/_static/locales/el/LC_MESSAGES/booktheme.mo b/dev/_static/locales/el/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fca6e9355f314677f2890f5679fd79dd67a7a5a2
GIT binary patch
literal 1722
zcmZ{iPiS047{Eu<YP;5|tyRRJqk^&E)>ewt4U5n=fkKPHMz8X+JKcS{dGGPw+nU_c
zCZPt>L)D-XMN9P{m<`*yO}BBoS3#I}@#Mj)Cp~!cBL2SFE!h-0?96ZHoA3Yk{@Ax;
zMX{b{53_$`KhIu%fP=N`L8bVq-5d|WJ#ZJ?4|l_1_!N8@J_(C(AAASyg$6zb(>@oV
z`1uSz3RmGC_yc?b-t6<2zWn$8{ZA<I{)IU>G}N=-3*|lx#m@-51&_iV@GtlX{0B;&
z|G|Us0FOuETkutwLXlsEZ^B>UVYqXrQitFhQ0g-9MK}YWfvbJC;B(wFD1G=Fz66IT
z_E|X6=LsnC_o4J>9*)3IptM|SkT~LFKU;E^x(64jsmIx3FH7o|CH<3LOJ5JLNx{`F
zvmIQ7ax;7w(hfIYb$phePOC<p2!qrFX~LgqHufvkRGkbz3TmNO)<Kw>sWALdpYv;G
zOPqxDxMc1Trd2=DkykNltn8<_zIz?7*J?>AHYU*1VcDqDUXtp1RQ6I+)?vWC9+ax;
z?Fa=g(0-ECjhcx404JfII61D)_Tt4R3KKsK<5_h!s`|l<J}$XUR?W0g?$lGgnkK_a
zrDk;Co%btV>Jua|GifioP~!B0M6o&VhxLBi1MZW0rDDj^PzkAoADB{_KUL1ZXW|5J
z1>K9Em-u-XId|sNnX#?+BZm&>`i;#`&PJx7QxbSBs(F4es!LTbPE1;ScXB*`Y)dcp
zg5;cu^J76NEc-#FppQ-YY3{TaRO<A#piM0|QLD#ZEk7Q{(@8-Gk-H|v*GF~lZ}F8t
zzfjai4vyxO{mQnKy^_sk%Q{=IU1h(ut?Ytrb6(1p?a#JlJGLp}4x&W_P4wFKwryze
z6T53~BihL3?Yd~L+D7)V-Owmr$Sz^OZoAo{=6S=pYiCP+FF(3KJl@}E4wbH5vzroJ
zTx1uwDK8SakzJJBd6FP4bl1tNDVi(U9D+Npq#KCl(IX)_B|m3vJI;EWt;ATdU)t~N
zH}-pb)qcwVE1D*(+RwR)@R|l+u)juhO`$50CCdfdlul>_9ar-jjaZW8iNR~zWhPCd
z!IGORj47br#qth1q_-xG*Y+m$QJl1ldYsi|#&y>pn)3O}2r<588%%~cb6DJv&M0zR
z6Ju?!Gpp;aJ2H>n=Q;4)9QX)UBsQv>oVXExo49XqkvY35v_#)clq&D(UelG*<`bgE
k?KNN}BbD^J+2#A$4_2dkCejtU)5(_TEbrUqDh*fv19*C<hyVZp

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/el/LC_MESSAGES/booktheme.po b/dev/_static/locales/el/LC_MESSAGES/booktheme.po
index 222cfa3a5..588f2efd8 100644
--- a/dev/_static/locales/el/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: el\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "αποθήκη"
-
-msgid "open issue"
-msgstr "ανοιχτό ζήτημα"
-
-msgid "Contents"
-msgstr "Περιεχόμενα"
-
-msgid "Fullscreen mode"
-msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
-
-msgid "Download this page"
-msgstr "Λήψη αυτής της σελίδας"
-
 msgid "Download source file"
 msgstr "Λήψη αρχείου προέλευσης"
 
-msgid "Launch"
-msgstr "Εκτόξευση"
-
-msgid "Edit this page"
-msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
+msgid "suggest edit"
+msgstr "προτείνω επεξεργασία"
 
 msgid "Toggle navigation"
 msgstr "Εναλλαγή πλοήγησης"
 
+msgid "open issue"
+msgstr "ανοιχτό ζήτημα"
+
+msgid "Download notebook file"
+msgstr "Λήψη αρχείου σημειωματάριου"
+
+msgid "repository"
+msgstr "αποθήκη"
+
 msgid "Theme by the"
 msgstr "Θέμα από το"
 
-msgid "Source repository"
-msgstr "Αποθήκη πηγής"
+msgid "Print to PDF"
+msgstr "Εκτύπωση σε PDF"
+
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
+
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
 
 msgid "Last updated on"
 msgstr "Τελευταία ενημέρωση στις"
 
-msgid "By the"
-msgstr "Από το"
+msgid "Launch"
+msgstr "Εκτόξευση"
+
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
+
+msgid "Fullscreen mode"
+msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
 
 msgid "Sphinx Book Theme"
 msgstr "Θέμα βιβλίου Sphinx"
 
-msgid "Open an issue"
-msgstr "Ανοίξτε ένα ζήτημα"
+msgid "Contents"
+msgstr "Περιεχόμενα"
+
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
 
 msgid "next page"
 msgstr "επόμενη σελίδα"
 
-msgid "Copyright"
-msgstr "Πνευματική ιδιοκτησία"
-
-msgid "Search this book..."
-msgstr "Αναζήτηση σε αυτό το βιβλίο ..."
-
-msgid "Print to PDF"
-msgstr "Εκτύπωση σε PDF"
+msgid "Source repository"
+msgstr "Αποθήκη πηγής"
 
 msgid "By"
 msgstr "Με"
 
+msgid "By the"
+msgstr "Από το"
+
 msgid "previous page"
 msgstr "προηγούμενη σελίδα"
-
-msgid "Search the docs ..."
-msgstr "Αναζήτηση στα έγγραφα ..."
-
-msgid "Download notebook file"
-msgstr "Λήψη αρχείου σημειωματάριου"
-
-msgid "suggest edit"
-msgstr "προτείνω επεξεργασία"
diff --git a/dev/_static/locales/eo/LC_MESSAGES/booktheme.mo b/dev/_static/locales/eo/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d1072bbec62959524a87953d3f41b7c272ecbe37
GIT binary patch
literal 1337
zcmZXSJ8u**6on1p5tcw8Jc}Sq!=o5pLIQ2H4P;k}NW_XP^v=%Bth2NB$o2$6O@l;1
z0iuBPP*8&S0UL=QfP_RrK|_UvM1g34b7v+b0&DDV?D3v+ANy%y+Y^Ct1alJeJ?3%D
zhg+~<jBXVIkJyD}2RH_ff(O7|;3Rk$JP95I8{h<Z6Wj|DI1Yx2_d(Wq4DJD+fn(rH
za6kB_;=AhnW3~SRvfodz29AuBzuyb;eiCGzQ{Y?h5{RqfE69G|D*gaj=NEVs9Ni|w
zA@BsqHMm^y2FQ6N)%SZK>pTMYflop9djWEuuR*>)1Ua4$Am958?gqbuT!-Hv=RLl?
ztm83|e|Hk(lCvi7xt0eoxwahd<^hR9n|*n(9}lh{d$2y|1j)ji^V&Q(5ANYkOq8Lh
zleoHqM}{7WYt{rZ!Q&-caXRS*F>UXd)T&q-8)(7WzFgEPZ5(@>yDt567<$^vOeG|m
zu?~=4-?s8J^<76~<iN%xW|a>z&terQmeydOn{H3s$Z$a!slCrhw4F8(v9dkg67!{>
zqs)38tXmQDSx=k0@+!yH>Cu2hvC4%qr;bgMl%!G1I#EHx#L(SPMrYZlG|3z-YnxYL
zZ<6<Uk`SUKWP(ua5_Ll~6Gyknd8pN8=^wFwR5;h>X6Bk3-!Gg!U#kimbyhN}%YXpR
zWvS9;N_Kn7c?ykNomO;Z<DOH-FOrLzrfXwulDfRIphIm|nIuPD>ym7(o#sxZQOml4
zuS=5^Ti>`iCCk^wX(LZG<b^X+H8G7cl9Q<tP194$R$RB4c4{eD(M;D?^N`EFS|ZrW
z7=<N=I<0?L#J|G+cRGBaWze}nC5NlHeUoC<hs?j{?UW4lA*`gM;i?|kqU$8_?$LOi
z=%6?-<TiX@#hgl!_#l@i9~5D<9eFKPTC~5#u|zStZ)nMi`9*E|UddU#;B3?(i1Q+2
uV#T%RDh;}7eT*1A^_Nu{uo#p+s`3%a1hw{R{p()`v>)Bqh@I0@tnvqcu0^K+

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/eo/LC_MESSAGES/booktheme.po b/dev/_static/locales/eo/LC_MESSAGES/booktheme.po
index bdf994b40..4614fe0aa 100644
--- a/dev/_static/locales/eo/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: eo\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "deponejo"
-
-msgid "open issue"
-msgstr "malferma numero"
-
-msgid "Contents"
-msgstr "Enhavo"
-
-msgid "Fullscreen mode"
-msgstr "Plenekrana reĝimo"
-
-msgid "Download this page"
-msgstr "Elŝutu ĉi tiun paĝon"
-
 msgid "Download source file"
 msgstr "Elŝutu fontodosieron"
 
-msgid "Launch"
-msgstr "Lanĉo"
-
-msgid "Edit this page"
-msgstr "Redaktu ĉi tiun paĝon"
+msgid "suggest edit"
+msgstr "sugesti redaktadon"
 
 msgid "Toggle navigation"
 msgstr "Ŝalti navigadon"
 
+msgid "open issue"
+msgstr "malferma numero"
+
+msgid "Download notebook file"
+msgstr "Elŝutu kajeran dosieron"
+
+msgid "repository"
+msgstr "deponejo"
+
 msgid "Theme by the"
 msgstr "Temo de la"
 
-msgid "Source repository"
-msgstr "Fonto-deponejo"
+msgid "Print to PDF"
+msgstr "Presi al PDF"
+
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
+
+msgid "Copyright"
+msgstr "Kopirajto"
 
 msgid "Last updated on"
 msgstr "Laste ĝisdatigita la"
 
-msgid "By the"
-msgstr "Per la"
+msgid "Launch"
+msgstr "Lanĉo"
+
+msgid "Open an issue"
+msgstr "Malfermu numeron"
+
+msgid "Fullscreen mode"
+msgstr "Plenekrana reĝimo"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa Libro-Temo"
 
-msgid "Open an issue"
-msgstr "Malfermu numeron"
+msgid "Contents"
+msgstr "Enhavo"
+
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
 
 msgid "next page"
 msgstr "sekva paĝo"
 
-msgid "Copyright"
-msgstr "Kopirajto"
-
-msgid "Search this book..."
-msgstr "Serĉu ĉi tiun libron ..."
-
-msgid "Print to PDF"
-msgstr "Presi al PDF"
+msgid "Source repository"
+msgstr "Fonto-deponejo"
 
 msgid "By"
 msgstr "De"
 
+msgid "By the"
+msgstr "Per la"
+
 msgid "previous page"
 msgstr "antaŭa paĝo"
-
-msgid "Search the docs ..."
-msgstr "Serĉu la dokumentojn ..."
-
-msgid "Download notebook file"
-msgstr "Elŝutu kajeran dosieron"
-
-msgid "suggest edit"
-msgstr "sugesti redaktadon"
diff --git a/dev/_static/locales/es/LC_MESSAGES/booktheme.mo b/dev/_static/locales/es/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f
GIT binary patch
literal 1396
zcmZ9Kzi$;s5XU#z;m3pU!zKwxj<PffAU%GG0zKyyF}5WuI9TwAl#Y3K<GW4vc2B!|
z2D?rfI#Q*gK}s7WL~n}x0aPi{Mv9ao9d!B5-GMDuxBI!B-JS33?EE!1`-?*R6nz2x
z75eAsKYxG$?eGDm@Tnsh4uZ$P!{9u41Y7_=0lxrGgJW<GyaOHw89V`|o<D)&=P~#Z
z_$zn}{0%$>KJWQQZ~wEO{|$=X8*l*5%yj3EgEC(L#m|@E3-CIKPyLHQ^!@|o{A*Bj
z4$La`8F(5z16~6q{%=5u|2}vYjQ#o}@F?a_K{@|BDEE2^ehj_>C4c{bvhUD`U0&uv
z*?$p~_`U+=+!`qRz6aYpfs%6BBl;4{Ji6po;@;mNp-!U9Icai#X`&;(C9e__T(%nW
zw)>mpL*DQZy5tBcRcdJ)pH3yKo8BdMDdMNz4yGuRTJ{f|^^|Mp6HmSWQEwW{d*<ky
zknwxQRGO%3Dp;-LCc*XF>1tzb%mTC1mCsq-qL_43=ae|t-eKOjtW>vaY#^sij18-e
zU>uxyy|KKi?sj^CYadPWVO!m;OXD8uC5dfPa>c40^|ZUw#21BS?P$vslng{1KTKV8
zUUWK<I`Ee9O&|6?_pvDoMwE=3AQb-tXKA>W55MCO;ccWl{h{a&Tjjy}+WN}g`qfKU
z27O|OlkJ*EIw63|wI$;gbyiY{oW}PitHT?6`vSSR$zizSGM^h)jP#AENrPMDiUxTd
zX^w*p+XS-1RUfK2(ynf&aeQr2cfaHFPM;g=s}~jrYQqQVnr;8cCiiNY181d=I%iD{
zk_k)9C=?Vlg{(ANUY4?kat==RzrVWKpj=Q5{Q{y&B&juy+NY=9viqbpt^2(7Sd&X+
zE$PfxwdF+Wo=v7AO<8KlnjOl_?lY%ZD#GnhWgz3#*VABvZk(=zpIWX+tyOg}6^wXC
zsg65u%fhre9yJUf6KusrthQzv+672++(cecEV5X4sri<+xahTU@tQ2Tj8rs5BN4#T
iU!*-mQ^Nsab@xTRCJqKkd{;ciD^w4Rh!536LH!R)!cyS?

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/es/LC_MESSAGES/booktheme.po b/dev/_static/locales/es/LC_MESSAGES/booktheme.po
index b23d3ec66..b4fccf194 100644
--- a/dev/_static/locales/es/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: es\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "repositorio"
-
-msgid "open issue"
-msgstr "Tema abierto"
-
-msgid "Contents"
-msgstr "Contenido"
-
-msgid "Fullscreen mode"
-msgstr "Modo de pantalla completa"
-
-msgid "Download this page"
-msgstr "Descarga esta pagina"
-
 msgid "Download source file"
 msgstr "Descargar archivo fuente"
 
-msgid "Launch"
-msgstr "Lanzamiento"
-
-msgid "Edit this page"
-msgstr "Edita esta página"
+msgid "suggest edit"
+msgstr "sugerir editar"
 
 msgid "Toggle navigation"
 msgstr "Navegación de palanca"
 
+msgid "open issue"
+msgstr "Tema abierto"
+
+msgid "Download notebook file"
+msgstr "Descargar archivo de cuaderno"
+
+msgid "repository"
+msgstr "repositorio"
+
 msgid "Theme by the"
 msgstr "Tema por el"
 
-msgid "Source repository"
-msgstr "Repositorio de origen"
+msgid "Print to PDF"
+msgstr "Imprimir en PDF"
+
+msgid "Download this page"
+msgstr "Descarga esta pagina"
+
+msgid "Copyright"
+msgstr "Derechos de autor"
 
 msgid "Last updated on"
 msgstr "Ultima actualización en"
 
-msgid "By the"
-msgstr "Por el"
+msgid "Launch"
+msgstr "Lanzamiento"
+
+msgid "Open an issue"
+msgstr "Abrir un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo de pantalla completa"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro de la esfinge"
 
-msgid "Open an issue"
-msgstr "Abrir un problema"
+msgid "Contents"
+msgstr "Contenido"
+
+msgid "Edit this page"
+msgstr "Edita esta página"
 
 msgid "next page"
 msgstr "siguiente página"
 
-msgid "Copyright"
-msgstr "Derechos de autor"
-
-msgid "Search this book..."
-msgstr "Buscar este libro ..."
-
-msgid "Print to PDF"
-msgstr "Imprimir en PDF"
+msgid "Source repository"
+msgstr "Repositorio de origen"
 
 msgid "By"
 msgstr "Por"
 
+msgid "By the"
+msgstr "Por el"
+
 msgid "previous page"
 msgstr "pagina anterior"
-
-msgid "Search the docs ..."
-msgstr "Buscar los documentos ..."
-
-msgid "Download notebook file"
-msgstr "Descargar archivo de cuaderno"
-
-msgid "suggest edit"
-msgstr "sugerir editar"
diff --git a/dev/_static/locales/et/LC_MESSAGES/booktheme.mo b/dev/_static/locales/et/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..983b82391f499b67a9046c15d0dd8744650ad925
GIT binary patch
literal 1341
zcmZ9Kzi%8x6vqb=^5gOYNC*@$VrY^ev<X2J(OFkGi7iF3g@unuDaW_ZyDv98vzi}A
zT%}2w1_>%C-5~0q6cNoSQvQHcDIz*5N(ux8-*>yj7Nec{?3<bWzF+(5%;E19#s`>7
zm@hCt!hG}w7K~$WDuqWK$8rQb2_6H_g2%xn@O|(C_#QX{&wyWnr$GYW22;<6py+%D
zo&tXWPl7*z?}ESdeBSTB?Csw{@%I-v01qANzCR6$y#$KRMeqsu1$Y$v1AGho6Fdz5
z4az++J_JsIlKZFNIq(K3aoh#Zg45o90E(Y)LCNb!P;`Fo`2>{wpMm1<C3qhE4V3%;
zfKrDOIF#?sgHne}pw!_CC?%IOsh?<xf2pnHeQ-cZy@M&bG9)e;61VseJ;?=<>IA0b
zcW{Vb>7mpI<yiDrUEjr{Q%&lIcZpnzcxiV7S9MZ1{Ws2fQ)=fEZF@h}J8WrxJNg_Z
z^uNtibJVS=NUfHfApM`YmaUDGK;(4eOH%75CY{^TBr3Icu(O-g>dO`vjME%rCbb#Z
zLB#9Ln`>&T^B1V~k&_R*YOAf;-PhM8wsB1jsl}?dyPU?psw`<|W?Y%XaN_8G>Z0@F
zr*qN<nz7G)*azfet|~&5giH{Mzekf)+$xJZ6e84yy7OO%|6<{JuyJc+b^rY8<<ACv
zVT<u@OGBLyz?Ie-cFTHFn-D3Dz8<d?*Y@uP<Khm5V%1H2$*vmeYulU#>&8_XbscI-
zgH4-*vBjDXO&n_1F3dRkd|7v|qf1VIJknP`Sstj{^T%OktXj#ancCu*yH}n+<|;=N
z-jrOCj`OFMOqk`wddINU##;0GR19tBdvzi?e7zruw52+Aw>NT5Q%F&X%h*Lj=6f7z
z8jNuq=-IE#jk<#c{m?m+L;rJ$825O_Nq(D^8CKl}zio+{#UD_z^uJ)WVl7Wi?YTr`
zTRZHgk)aH+jLK4D)OfM3BNeE1ohJ(1utQX6H>rE`y-+P|2~e4t1fZw$r;!^}gUIe5
P_MW2m5}a<3ol*Y+f5$~k

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/et/LC_MESSAGES/booktheme.po b/dev/_static/locales/et/LC_MESSAGES/booktheme.po
index 664c24635..b748b37f0 100644
--- a/dev/_static/locales/et/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: et\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "hoidla"
-
-msgid "open issue"
-msgstr "avatud küsimus"
-
-msgid "Contents"
-msgstr "Sisu"
-
-msgid "Fullscreen mode"
-msgstr "Täisekraanirežiim"
-
-msgid "Download this page"
-msgstr "Laadige see leht alla"
-
 msgid "Download source file"
 msgstr "Laadige alla lähtefail"
 
-msgid "Launch"
-msgstr "Käivitage"
-
-msgid "Edit this page"
-msgstr "Muutke seda lehte"
+msgid "suggest edit"
+msgstr "soovita muuta"
 
 msgid "Toggle navigation"
 msgstr "Lülita navigeerimine sisse"
 
+msgid "open issue"
+msgstr "avatud küsimus"
+
+msgid "Download notebook file"
+msgstr "Laadige sülearvuti fail alla"
+
+msgid "repository"
+msgstr "hoidla"
+
 msgid "Theme by the"
 msgstr "Teema"
 
-msgid "Source repository"
-msgstr "Allikahoidla"
+msgid "Print to PDF"
+msgstr "Prindi PDF-i"
+
+msgid "Download this page"
+msgstr "Laadige see leht alla"
+
+msgid "Copyright"
+msgstr "Autoriõigus"
 
 msgid "Last updated on"
 msgstr "Viimati uuendatud"
 
-msgid "By the"
-msgstr "Autor"
+msgid "Launch"
+msgstr "Käivitage"
+
+msgid "Open an issue"
+msgstr "Avage probleem"
+
+msgid "Fullscreen mode"
+msgstr "Täisekraanirežiim"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksiraamatu teema"
 
-msgid "Open an issue"
-msgstr "Avage probleem"
+msgid "Contents"
+msgstr "Sisu"
+
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
 
 msgid "next page"
 msgstr "järgmine leht"
 
-msgid "Copyright"
-msgstr "Autoriõigus"
-
-msgid "Search this book..."
-msgstr "Otsige sellest raamatust ..."
-
-msgid "Print to PDF"
-msgstr "Prindi PDF-i"
+msgid "Source repository"
+msgstr "Allikahoidla"
 
 msgid "By"
 msgstr "Kõrval"
 
+msgid "By the"
+msgstr "Autor"
+
 msgid "previous page"
 msgstr "eelmine leht"
-
-msgid "Search the docs ..."
-msgstr "Dokumentidest otsimine ..."
-
-msgid "Download notebook file"
-msgstr "Laadige sülearvuti fail alla"
-
-msgid "suggest edit"
-msgstr "soovita muuta"
diff --git a/dev/_static/locales/fi/LC_MESSAGES/booktheme.mo b/dev/_static/locales/fi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d8ac054597c924e3010f629caeac1c748b7211cd
GIT binary patch
literal 1368
zcmZ9KJ#5r46vquMU&lA4Af!r|g^wXX5kqz52B58kprWEjclYv|xbfLh>>S*}#K;Cr
ztS2O9B*cCTVrBw~l?gF1AR)y6B`K}2;{5K}=lB1=7k@o5`BGq<#+<?Ygn1V8*)F^=
z_U{$~k2rwWUhojOADjXYfHUAJ@H}`D?0_f02jCHqz@uPj_!Q(kFTlg#EASBb20RYF
zYxtpA|J=miK-T*Ow!n#r`uq`);~9|iTmavL*TH?@caZgdf_(lr$iDVY3ULOU2HE!&
zko6aucn#z_vL=4g#Lq$2c@1*iZ^2{WM{o-K0&@NzAfNvOa-GNb)I1CFegv|=8z7%s
z0J-Iyo6oT)US|#Vy>lRCrOA1CaQ!^kKlhsTrZJIH9K_^ryK`_q_#3i5+EIO9achW2
zhLpr@X9L;b@gpA=I!S|AaF48UDwfs-T6Zp!8`{wJvUg?CqyH8|s=drrLSix20jamb
zrP3JRD~PP@yO_j1<%2BqSOtouvxrOEOU3;he^6Fx?@JOZg|<lI<jTU5SgrL6%AME2
z6+^L_r`kT2x7b@Zr9O%3E!XRsx-Ll!Nvj4rQ9(n*(&JFObF5Q~<OL11D;wK8()%(=
z2rdbgz>3?XUWo3*(Ha#V+1j$!k61sdlv~SpmKV48XD?rEHI0qB!<^bOz`&K<C~fCu
zFI9!7(0SNhisrWeS19W@sE8JA&&Ap%Z8^8DL+hThNr}F;(eT!aDGOzyC0F!)TiUz|
zedpS|tbcYcT6wM`XD`jSM3*wXIUb4SGE>TmRqe+kV}^cf!#bT&>G1)AQnFuaA9SXR
zO>~T6=Ywl@%y^W>^xt9_kNV@0^m<T2z-5q-Si@7TDRI|jPTKKk7{>3c4B9BMrgfh(
zuVp?S>46Ru!ccTe7eieYS*GF0;G*3eAeplXnZCllffvOWA=>i5w+5yH-zgk~ao1dl
zs44(@M0}Rt9Mp|iQ#yrKbuAq3msY|P`l$x0E<_Em{7-o?CS$aPMpfmO5T&sTb;r2u
H66VBTf3Z^G

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/fi/LC_MESSAGES/booktheme.po b/dev/_static/locales/fi/LC_MESSAGES/booktheme.po
index c4b0d308d..f58cf58d3 100644
--- a/dev/_static/locales/fi/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: fi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "arkisto"
-
-msgid "open issue"
-msgstr "avoin ongelma"
-
-msgid "Contents"
-msgstr "Sisällys"
-
-msgid "Fullscreen mode"
-msgstr "Koko näytön tila"
-
-msgid "Download this page"
-msgstr "Lataa tämä sivu"
-
 msgid "Download source file"
 msgstr "Lataa lähdetiedosto"
 
-msgid "Launch"
-msgstr "Tuoda markkinoille"
-
-msgid "Edit this page"
-msgstr "Muokkaa tätä sivua"
+msgid "suggest edit"
+msgstr "ehdottaa muokkausta"
 
 msgid "Toggle navigation"
 msgstr "Vaihda navigointia"
 
+msgid "open issue"
+msgstr "avoin ongelma"
+
+msgid "Download notebook file"
+msgstr "Lataa muistikirjatiedosto"
+
+msgid "repository"
+msgstr "arkisto"
+
 msgid "Theme by the"
 msgstr "Teeman tekijä"
 
-msgid "Source repository"
-msgstr "Lähteen arkisto"
+msgid "Print to PDF"
+msgstr "Tulosta PDF-tiedostoon"
+
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
+
+msgid "Copyright"
+msgstr "Tekijänoikeus"
 
 msgid "Last updated on"
 msgstr "Viimeksi päivitetty"
 
-msgid "By the"
-msgstr "Mukaan"
+msgid "Launch"
+msgstr "Tuoda markkinoille"
+
+msgid "Open an issue"
+msgstr "Avaa ongelma"
+
+msgid "Fullscreen mode"
+msgstr "Koko näytön tila"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-kirjan teema"
 
-msgid "Open an issue"
-msgstr "Avaa ongelma"
+msgid "Contents"
+msgstr "Sisällys"
+
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
 
 msgid "next page"
 msgstr "seuraava sivu"
 
-msgid "Copyright"
-msgstr "Tekijänoikeus"
-
-msgid "Search this book..."
-msgstr "Hae tästä kirjasta ..."
-
-msgid "Print to PDF"
-msgstr "Tulosta PDF-tiedostoon"
+msgid "Source repository"
+msgstr "Lähteen arkisto"
 
 msgid "By"
 msgstr "Tekijä"
 
+msgid "By the"
+msgstr "Mukaan"
+
 msgid "previous page"
 msgstr "Edellinen sivu"
-
-msgid "Search the docs ..."
-msgstr "Hae dokumenteista ..."
-
-msgid "Download notebook file"
-msgstr "Lataa muistikirjatiedosto"
-
-msgid "suggest edit"
-msgstr "ehdottaa muokkausta"
diff --git a/dev/_static/locales/fr/LC_MESSAGES/booktheme.mo b/dev/_static/locales/fr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f663d39f0faa76c5b9bd504c51252eef74cca5de
GIT binary patch
literal 1412
zcmZ{jJ!}+56vv0pm<s`73?#@>9t{vhm&8^IIO`h6wqyy*798~B-FLeKdo!!~aIl*+
zlr)i&DosjGX-Sm+nxs!ffzqWyh>mpmzuUEJBQe_9-_FOq|NFX^vnPL27*{aoG5^N=
z4D;zRyf9{tD}_g$!Rs`57MuYuf@i>a@G^KEoCEvdEO-|@2Qqjbj4hvlV&_NjBk*VN
zEI0-~27hn)XS@HRUH=P;-hW^RJaMA={W(z9^Pt$d0saAg1L9Gy@DjZ@;0NGaQ2bFR
zmAVF8043f<@DuPZcoBRAia+0jpMpPtqW^1q{u?N9{{>2%|FrAZpu~0hRC7KD%K8iN
z5_lUFyPKf+qrt170VU-UgXB+gDSn8C=pG)BP!}*oSBAtdL+nayq9<A~sXoM%+8!Q~
z52>N(OOB9IrIvT`P%K$}>uh8j13v0qZ;CRi75AO3oX*L*$lK06qM@nyU^}?vGk#|?
zmL^cG3s$SSi7>stTuW6IGS6&j<Z@PbbcmGdTu08yS*(-IO0`+zg0^HrNUXNJu`uFj
zYh_K{YxF$VE|}>2uDVy3#y+NH@oiA@h}HB>+f7UZR}>YK)jOup(LluV<JfrTM5hs{
zJ?|KoTDK3G52+{^UNRzqEAAm@vAdpkAFvOw)}uzhEBf83a%W?GWA)&C;mfZ(ZDPBF
z-I{w8;lNjQrHx&ptkgbm?B5@(b#EQq^V)_X`|hgETyAX9qg&f1cJ63fB;>V6L*Ln|
zlGjyt&G}L2k*%l8&|h4l=Cgm((zQM<e7@9CTiVMcl&<k5soXmg1LZe#ik!R}Ovcq@
zEdCTM7g5u!H2B=F{QGY-O>pFVk1~#tn>=qIhM|}`x`)$>jU}ieUbVvBn#nWIG%|r{
z@(VpgvBl*|+YE)ZQEjFj&wG?C)!uDalV>RR`l$A11nWA{5XsPS+9@lOaXon+Y2Ue0
zE>oVUGO*E>4ZSkmuAAH}>yV{N!q<m8Mp~IdGCLao4;4&dwOl&l#q>_?5zAzp!&O#!
T<A7>A2+cw{Vw>h7Yg+MtLz81?

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/fr/LC_MESSAGES/booktheme.po b/dev/_static/locales/fr/LC_MESSAGES/booktheme.po
index 93762ce68..8a6c94619 100644
--- a/dev/_static/locales/fr/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: fr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "dépôt"
-
-msgid "open issue"
-msgstr "signaler un problème"
-
-msgid "Contents"
-msgstr "Contenu"
-
-msgid "Fullscreen mode"
-msgstr "Mode plein écran"
-
-msgid "Download this page"
-msgstr "Téléchargez cette page"
-
 msgid "Download source file"
 msgstr "Télécharger le fichier source"
 
-msgid "Launch"
-msgstr "lancement"
-
-msgid "Edit this page"
-msgstr "Modifier cette page"
+msgid "suggest edit"
+msgstr "suggestion de modification"
 
 msgid "Toggle navigation"
 msgstr "Basculer la navigation"
 
+msgid "open issue"
+msgstr "signaler un problème"
+
+msgid "Download notebook file"
+msgstr "Télécharger le fichier notebook"
+
+msgid "repository"
+msgstr "dépôt"
+
 msgid "Theme by the"
 msgstr "Thème par le"
 
-msgid "Source repository"
-msgstr "Dépôt source"
+msgid "Print to PDF"
+msgstr "Imprimer au format PDF"
+
+msgid "Download this page"
+msgstr "Téléchargez cette page"
+
+msgid "Copyright"
+msgstr "droits d'auteur"
 
 msgid "Last updated on"
 msgstr "Dernière mise à jour le"
 
-msgid "By the"
-msgstr "Par le"
+msgid "Launch"
+msgstr "lancement"
+
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
+
+msgid "Fullscreen mode"
+msgstr "Mode plein écran"
 
 msgid "Sphinx Book Theme"
 msgstr "Thème du livre Sphinx"
 
-msgid "Open an issue"
-msgstr "Ouvrez un problème"
+msgid "Contents"
+msgstr "Contenu"
+
+msgid "Edit this page"
+msgstr "Modifier cette page"
 
 msgid "next page"
 msgstr "page suivante"
 
-msgid "Copyright"
-msgstr "droits d'auteur"
-
-msgid "Search this book..."
-msgstr "Rechercher dans ce livre ..."
-
-msgid "Print to PDF"
-msgstr "Imprimer au format PDF"
+msgid "Source repository"
+msgstr "Dépôt source"
 
 msgid "By"
 msgstr "Par"
 
+msgid "By the"
+msgstr "Par le"
+
 msgid "previous page"
 msgstr "page précédente"
-
-msgid "Search the docs ..."
-msgstr "Rechercher dans les documents ..."
-
-msgid "Download notebook file"
-msgstr "Télécharger le fichier notebook"
-
-msgid "suggest edit"
-msgstr "suggestion de modification"
diff --git a/dev/_static/locales/hr/LC_MESSAGES/booktheme.mo b/dev/_static/locales/hr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..eca4a1a2842830f06bd5f6235bf01d07bdd313d2
GIT binary patch
literal 1402
zcmZ9KJ!~9B6vu}+kmLv<I0Psx@u1+NI80C?MQ2?>h)-Bbu!YZ&sL*)#Wq0oOW>)iY
z#I7UJKoJQlD$3MIh{}~uqNJdrprN2bqC$d-|Jz;1r;K*?xAU?8_kVBZ_tmrCDzsP8
z*U*1Oe;xg+XYfKhe?}=h>H=QRffvE^;1%!!xCXugz6HJv4#8FMQ}7bV;EQ1F_z)DG
zZ@?G8@4$=TWAG*L$BsXD^S^cDKS7E2FW3WDR@(nBfihkLMdxksC-6Fmt?DmO{`(sg
z-~WN)YvpX4?<)8j#_OQu@i8cQeBP}`P-^oC6rIQ5W$*{^dGHvNe1GZqM>qcuD0MvZ
zY`gv@DF5B)#v@RCe+FI!b5KeyIf$NkxPmU8B<^y9bfYDCNE01tQa`D+)KxSg*?1KH
z%T4MpwK#{4ax`^Pw+`@7ELnZzY-Ae)KI#K+iZZI(?h9Kvos)Hu_nn*4eN*x2ba2UM
z{M2MDO`uvAtTuBKA$>9&rK$><XSOtRIjcK5L`rq8Bj@BS#>r--+ODxdTQVUeRy*EU
zh&bB0JyN@EJkPZYCOUthcI(pE2XsrkjZ2=fYTmTp<}`LiQ88IPH-(M{K`cLrtve@i
z+90*(xpAqpy(Aw}Q7~LGGJzF0;VkyI^8P*c0crzk<M$<gzlq$tyLET-bp6_U@AtaG
z_QwY`4=BRGdR=K_Hz+H$4;+Vk<5B<S={~P*xX-@7X)~7_TMX#tzKOj%+7=0Q9Z>0e
zJ5}<!>W`eCg#p>R8HV8p8`ORd-?8+@kgmPE(NjB4ZRZpsbXo1{+%JywM17c0!7$ZS
zdp+04j?>}H5RL<fJx#Q4stGTStjXjQ+C_6XciyHan@$!YlbfeDgvpZH^HQ;=CO^@~
zUmJ^XJav?r30JP5Lmet-5#9xa%k6|oFOHHoFgxJ^=BJ)5wA6M)Y!NkwxvZ(JP~&Q)
z=4Na)#vBEx&&=X`>>u+?)6`B(!QC;nQ(E%YYHwOi5)9EgF2Tundr{ymsm2Z;f2mKh
k(#nYgw(f}olqHrfw@Z7L48TfWxy6y8<oWoKnK!Qg2ay|IDF6Tf

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/hr/LC_MESSAGES/booktheme.po b/dev/_static/locales/hr/LC_MESSAGES/booktheme.po
index 7e945999e..4ceb3899f 100644
--- a/dev/_static/locales/hr/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: hr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "spremište"
-
-msgid "open issue"
-msgstr "otvoreno izdanje"
-
-msgid "Contents"
-msgstr "Sadržaj"
-
-msgid "Fullscreen mode"
-msgstr "Način preko cijelog zaslona"
-
-msgid "Download this page"
-msgstr "Preuzmite ovu stranicu"
-
 msgid "Download source file"
 msgstr "Preuzmi izvornu datoteku"
 
-msgid "Launch"
-msgstr "Pokrenite"
-
-msgid "Edit this page"
-msgstr "Uredite ovu stranicu"
+msgid "suggest edit"
+msgstr "predloži uređivanje"
 
 msgid "Toggle navigation"
 msgstr "Uključi / isključi navigaciju"
 
+msgid "open issue"
+msgstr "otvoreno izdanje"
+
+msgid "Download notebook file"
+msgstr "Preuzmi datoteku bilježnice"
+
+msgid "repository"
+msgstr "spremište"
+
 msgid "Theme by the"
 msgstr "Tema autora"
 
-msgid "Source repository"
-msgstr "Izvorno spremište"
+msgid "Print to PDF"
+msgstr "Ispis u PDF"
+
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
+
+msgid "Copyright"
+msgstr "Autorska prava"
 
 msgid "Last updated on"
 msgstr "Posljednje ažuriranje:"
 
-msgid "By the"
-msgstr "Od strane"
+msgid "Launch"
+msgstr "Pokrenite"
+
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
+
+msgid "Fullscreen mode"
+msgstr "Način preko cijelog zaslona"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Open an issue"
-msgstr "Otvorite izdanje"
+msgid "Contents"
+msgstr "Sadržaj"
+
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
 
 msgid "next page"
 msgstr "sljedeća stranica"
 
-msgid "Copyright"
-msgstr "Autorska prava"
-
-msgid "Search this book..."
-msgstr "Pretražite ovu knjigu ..."
-
-msgid "Print to PDF"
-msgstr "Ispis u PDF"
+msgid "Source repository"
+msgstr "Izvorno spremište"
 
 msgid "By"
 msgstr "Po"
 
+msgid "By the"
+msgstr "Od strane"
+
 msgid "previous page"
 msgstr "Prethodna stranica"
-
-msgid "Search the docs ..."
-msgstr "Pretražite dokumente ..."
-
-msgid "Download notebook file"
-msgstr "Preuzmi datoteku bilježnice"
-
-msgid "suggest edit"
-msgstr "predloži uređivanje"
diff --git a/dev/_static/locales/id/LC_MESSAGES/booktheme.mo b/dev/_static/locales/id/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d07a06a9d27aaf6d67234c227c22d61d5a23203b
GIT binary patch
literal 1323
zcmZ9JIfxWN6oyOJV;%2ZZx$>Q4`jSBkXa^hFIaGO(a}_Drr&ngPIpyPhwkKtCW1zS
zxtWoenhB;xBBn-yn24D8zwTalu&Ao9Uv<5s{`Yli#|wdR9BT&a6V_?0r`xb$Ol}tf
zQ|!UE3)}}zg45t0a0WaEo&}G9U2qD#3myOoJP3w{Pe6|I9NZ7S1owfj!NcI&h98>q
z&yD>J<b1!u7C13c`yT+=o&h<|Iq)5L9ozwaZ}=0$6u+=>oIl_+xD%H+@5zQ2!9%dS
z4R3=dU_S)+f*T;`dD8G1$o{WD_Im?z{P&Ih5#&5yK-S?0$ohz#wGPuD`<((=a*oaa
zSxfd~Z8_ffK#0nR_2t3u=fQPw4%YQ37D84vb8p87>(4#hjm4TkQX%F>m@;G}=B){2
zg2zWWayrd|Sg?;xZdD?U4b-=GDA#mOTgTo;H=zFxL#DkfRZ3zp(E*`1&83*<e&C3V
zENnvJmhwTyGEspNX$|aX2AQ~1;({_#dml-xI&Bcd%GHG>aj(wjsI*=O>qg>UnQ5~j
z=eV|BMg@s#m;L%pJ)5RENuwU=R0WMBhBiW7o#i}rlG4#5ZDUjRSa=`Plu#w%B`C$N
z(;&2$llB909??3o&fn(z?J9F?WqD<B>;KhDS6Yp*?cS)QjtnT^a+xb_X5}DL&Qs{#
z?=7`&Y~6Fp_%(9vMKiF8HfcxR=<CqBrA!*3Ye(v&wVFq#^7fK-h3`mHR;KS>o0auv
z_q>s3y7KCU*_ODI6J+IW*=v!hp&aNkC~@B;F{`@wufgMIJ{Em)%}J(mRd82~uKPNE
zu!45VT#b~I5H)6^M@|hh?PQ`$a((5ZmR_kKRwzf4qZ=wC=HgJvLU}~a#5@JmHKeM~
zcQ+dhueyjH6-vS(Hi{zy4lKXvX09`YYnog=urAe8uFQH2W~4-u2I{*$(n5sIJAG7C
T@Rc+s5Lgrh10CRyRonjp5+F85

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/id/LC_MESSAGES/booktheme.po b/dev/_static/locales/id/LC_MESSAGES/booktheme.po
index fbeca8075..1eca59947 100644
--- a/dev/_static/locales/id/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: id\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "gudang"
-
-msgid "open issue"
-msgstr "masalah terbuka"
-
-msgid "Contents"
-msgstr "Isi"
-
-msgid "Fullscreen mode"
-msgstr "Mode layar penuh"
-
-msgid "Download this page"
-msgstr "Unduh halaman ini"
-
 msgid "Download source file"
 msgstr "Unduh file sumber"
 
-msgid "Launch"
-msgstr "Meluncurkan"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
+msgid "suggest edit"
+msgstr "menyarankan edit"
 
 msgid "Toggle navigation"
 msgstr "Alihkan navigasi"
 
+msgid "open issue"
+msgstr "masalah terbuka"
+
+msgid "Download notebook file"
+msgstr "Unduh file notebook"
+
+msgid "repository"
+msgstr "gudang"
+
 msgid "Theme by the"
 msgstr "Tema oleh"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Download this page"
+msgstr "Unduh halaman ini"
+
+msgid "Copyright"
+msgstr "hak cipta"
 
 msgid "Last updated on"
 msgstr "Terakhir diperbarui saat"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Launch"
+msgstr "Meluncurkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Fullscreen mode"
+msgstr "Mode layar penuh"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "Contents"
+msgstr "Isi"
+
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
 msgid "next page"
 msgstr "halaman selanjutnya"
 
-msgid "Copyright"
-msgstr "hak cipta"
-
-msgid "Search this book..."
-msgstr "Telusuri buku ini ..."
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Source repository"
+msgstr "Repositori sumber"
 
 msgid "By"
 msgstr "Oleh"
 
+msgid "By the"
+msgstr "Oleh"
+
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Search the docs ..."
-msgstr "Telusuri dokumen ..."
-
-msgid "Download notebook file"
-msgstr "Unduh file notebook"
-
-msgid "suggest edit"
-msgstr "menyarankan edit"
diff --git a/dev/_static/locales/it/LC_MESSAGES/booktheme.mo b/dev/_static/locales/it/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..53ba476edd2df2a802917e9df402257ceca1a130
GIT binary patch
literal 1403
zcmZXSJ&aXF6vsyafhY1QYQiQS8W$5EU!j1vc?Gb$351Os-eM!oynD~ycVOPkWoGWm
zTH9#}m5qrNiM6q@vN55xvLLatGO@6+(D*<1-gP%Hxii0e=Htvc|2Z#C?tf~~-bG(P
z{{{Vh^sipSfOhD0WAK^77~TMnfQP_S;9+n9d<Xmhd>b5tC&9bmQINr7VD9+^sD7S+
zZ-HNfN5E&`3Gn-#Klk&$_V(|f-uE{+0Qc?d&L0KUUI5k4BKQM%1;keK2Z+!7i9yf*
z1s(_g1vTGe`;B=I{0KY^u7H})r~P~cRhutC&HGzW&wmGM{6B(v?m2h{{0%$^{sW!`
z4;<+7S_JjnwcfrBYTWn1Q(y(E<eG!(r&{W~#-efWZE)TCQhl|lA8o3iYOQf;OmJ!5
zMA!KDHq~Eq(KuBb)ydr0#z%R^=4SAjeNOnPx1&_EY?i}k-UVBd51FSSJfux=ygQvj
z6AON6GS4JYZ7Vh_rDV9?F;^SsQW2Rw%|prNj!l`Gy0n=~3LbXji<$Yj#s=$2Qfk<&
zNAYkHXnlFrOuG9b*C9y`aobGlnfS+aLu1>R@tjRN(zMHIBUF`R@^(uqn+2D6ew@4L
zg5J|zQb*pB(DY&Nai5y1VnoTv1fhfnT;$=ca`*|y1aBki?jP#?!}jLE+O4&f-Stc7
zFAjQPha1~9k0>L63$?T2m#CQ8m^hE`ZLAKj?(U1$r%jH-6<>r>d^Mu0Q^|un)>jR5
z9TALm*F@`vt0B(Qh<x3eX?%H!y5I3RPiMz;>BFUgSr)TwUH`yMh9yxlG%Xix0~y&&
z3LB-cB(8l-D%nxCMbU^4uPmkzD-_D^sYeYovZ|_hYt|6+raF6N+B(TUeM703ahwOj
z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4
z9%X=yZ5mFd5t*`cmL{7}b7xJ=^_*qP(gmDLw)@AXu2??D^RnquqSO=xr-aR>O-k3u
a)*Q3l*@6-(xNK#4xqhOgLbT*tS<HW%;#JK6

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/it/LC_MESSAGES/booktheme.po b/dev/_static/locales/it/LC_MESSAGES/booktheme.po
index f64a72b37..f3169000c 100644
--- a/dev/_static/locales/it/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: it\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "repository"
-
-msgid "open issue"
-msgstr "questione aperta"
-
-msgid "Contents"
-msgstr "Contenuti"
-
-msgid "Fullscreen mode"
-msgstr "Modalità schermo intero"
-
-msgid "Download this page"
-msgstr "Scarica questa pagina"
-
 msgid "Download source file"
 msgstr "Scarica il file sorgente"
 
-msgid "Launch"
-msgstr "Lanciare"
-
-msgid "Edit this page"
-msgstr "Modifica questa pagina"
+msgid "suggest edit"
+msgstr "suggerisci modifica"
 
 msgid "Toggle navigation"
 msgstr "Attiva / disattiva la navigazione"
 
+msgid "open issue"
+msgstr "questione aperta"
+
+msgid "Download notebook file"
+msgstr "Scarica il file del taccuino"
+
+msgid "repository"
+msgstr "repository"
+
 msgid "Theme by the"
 msgstr "Tema di"
 
-msgid "Source repository"
-msgstr "Repository di origine"
+msgid "Print to PDF"
+msgstr "Stampa in PDF"
+
+msgid "Download this page"
+msgstr "Scarica questa pagina"
+
+msgid "Copyright"
+msgstr "Diritto d'autore"
 
 msgid "Last updated on"
 msgstr "Ultimo aggiornamento il"
 
-msgid "By the"
-msgstr "Dal"
+msgid "Launch"
+msgstr "Lanciare"
+
+msgid "Open an issue"
+msgstr "Apri un problema"
+
+msgid "Fullscreen mode"
+msgstr "Modalità schermo intero"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema del libro della Sfinge"
 
-msgid "Open an issue"
-msgstr "Apri un problema"
+msgid "Contents"
+msgstr "Contenuti"
+
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
 
 msgid "next page"
 msgstr "pagina successiva"
 
-msgid "Copyright"
-msgstr "Diritto d'autore"
-
-msgid "Search this book..."
-msgstr "Cerca in questo libro ..."
-
-msgid "Print to PDF"
-msgstr "Stampa in PDF"
+msgid "Source repository"
+msgstr "Repository di origine"
 
 msgid "By"
 msgstr "Di"
 
+msgid "By the"
+msgstr "Dal"
+
 msgid "previous page"
 msgstr "pagina precedente"
-
-msgid "Search the docs ..."
-msgstr "Cerca nei documenti ..."
-
-msgid "Download notebook file"
-msgstr "Scarica il file del taccuino"
-
-msgid "suggest edit"
-msgstr "suggerisci modifica"
diff --git a/dev/_static/locales/iw/LC_MESSAGES/booktheme.mo b/dev/_static/locales/iw/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a45c6575e469914582f8223ac54793afc2f26575
GIT binary patch
literal 1445
zcmZ9K&rcIU6vxNkQ1K`JhzW^9O#E@Eit%7dYK#gAi9`bEecO)P)iSf$odtU|@!-Kj
zE3H@s1Vt#EJQy|p1zx-vUgE*TlPCWGZhqf(k;X}9Kl9$adGGrk{5-s~F0hVc_h5g=
zK8gKw8$MVa+l9bSbmFrc>;gN$Zm<*V0gr*F!6RT6JPeM4`#}XB0Byp@Am^!p`@mOV
z7q|)@0zW4Fn)rVt_HU5uZGb6o$Bx$f{UF;tAm=#)eg-dtd%-^-*V_PDx7aDf37`|?
zeoukD;5CqS=MqLB_wxkgxVgmt1?-0X4dj{qO1J@X+@W2qe$Rs(cQvs`6FUcTpOYZ#
zd6M|6Adj4TU>#hW-}7v_@AidK;vhE9mlyZXi}UiVd9FvXkushE>ug^<53aoj8)J$8
zzT$crKWU3f+%VcIZ9^RVa^Sf|D{h)8T{2EVYGYN-m<RHnS5jN<&_qFA{pYkrFO<IH
zDlt&-EK+ZpgHfpz<^!d)oG=9?ZaJZqkza7EDoCSYM><~=w|xXST6$p^DKQdw8cB>C
zxj87tTJ-|uo6xf+D2p+_=;?>@I%^v*stG0HugtZ28aJ+6Qc^pUp6gf-MYMWoTj~tg
zX%+DUHR+isk=>R)j9gbir9vl=V(zQFO%D~)cU2G~TSm6(r@4MQuACYk8XnlX?>m1n
zl?*mLUiMW+S_rt{mmE*`%Y4xZLS?ge#s||^w&DUuhxb&F9?*GH@U)weS8|?B-Ey=W
zVXhhJO{GRkQQ(x)gC>{=GgAAp8D=l_%hoY_R?FV3>^s+=67+^<B{gW88Umjty%e-Y
zb$Ugw1w9AqxUAC}$JA*V0S%fHRD;o^X-O+MROy|hd78nYNo#GF6@K?GqJ|hYnr#u&
z^j4xwjde6}_fkT{rfVMcs+@U|{qr<S6^^ST1o9-?D9X<ks3xf@Xm<TQ)z&}JDm_~N
z0HrH}me9_Oq-U^Z;~vmg4H=ebkuz+n<9{KPs35Q@5s*klZZxz2tWrfn$P!;O8t|^r
zV%sIZj=P^hUi7dKm#fnY7Cq0hIdPSnsKV1=&8)7DCgK4kF)V4Chn&da!!p9(u-;@$
F;x7>$;pPAU

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/iw/LC_MESSAGES/booktheme.po b/dev/_static/locales/iw/LC_MESSAGES/booktheme.po
index a2a09f095..9e6d753e7 100644
--- a/dev/_static/locales/iw/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: iw\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "מאגר"
-
-msgid "open issue"
-msgstr "בעיה פתוחה"
-
-msgid "Contents"
-msgstr "תוכן"
-
-msgid "Fullscreen mode"
-msgstr "מצב מסך מלא"
-
-msgid "Download this page"
-msgstr "הורד דף זה"
-
 msgid "Download source file"
 msgstr "הורד את קובץ המקור"
 
-msgid "Launch"
-msgstr "לְהַשִׁיק"
-
-msgid "Edit this page"
-msgstr "ערוך דף זה"
+msgid "suggest edit"
+msgstr "מציע לערוך"
 
 msgid "Toggle navigation"
 msgstr "החלף ניווט"
 
+msgid "open issue"
+msgstr "בעיה פתוחה"
+
+msgid "Download notebook file"
+msgstr "הורד קובץ מחברת"
+
+msgid "repository"
+msgstr "מאגר"
+
 msgid "Theme by the"
 msgstr "נושא מאת"
 
-msgid "Source repository"
-msgstr "מאגר המקורות"
+msgid "Print to PDF"
+msgstr "הדפס לקובץ PDF"
+
+msgid "Download this page"
+msgstr "הורד דף זה"
+
+msgid "Copyright"
+msgstr "זכויות יוצרים"
 
 msgid "Last updated on"
 msgstr "עודכן לאחרונה ב"
 
-msgid "By the"
-msgstr "דרך"
+msgid "Launch"
+msgstr "לְהַשִׁיק"
+
+msgid "Open an issue"
+msgstr "פתח גיליון"
+
+msgid "Fullscreen mode"
+msgstr "מצב מסך מלא"
 
 msgid "Sphinx Book Theme"
 msgstr "נושא ספר ספינקס"
 
-msgid "Open an issue"
-msgstr "פתח גיליון"
+msgid "Contents"
+msgstr "תוכן"
+
+msgid "Edit this page"
+msgstr "ערוך דף זה"
 
 msgid "next page"
 msgstr "עמוד הבא"
 
-msgid "Copyright"
-msgstr "זכויות יוצרים"
-
-msgid "Search this book..."
-msgstr "חפש בספר זה ..."
-
-msgid "Print to PDF"
-msgstr "הדפס לקובץ PDF"
+msgid "Source repository"
+msgstr "מאגר המקורות"
 
 msgid "By"
 msgstr "על ידי"
 
+msgid "By the"
+msgstr "דרך"
+
 msgid "previous page"
 msgstr "עמוד קודם"
-
-msgid "Search the docs ..."
-msgstr "חפש במסמכים ..."
-
-msgid "Download notebook file"
-msgstr "הורד קובץ מחברת"
-
-msgid "suggest edit"
-msgstr "מציע לערוך"
diff --git a/dev/_static/locales/ja/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ja/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..1cefd29ce3cc08792667a82dc7ff47e9843107be
GIT binary patch
literal 1471
zcma))U2GIp6vr=uT2=%temyktnh+I|RZ$+uHv1sbO-LX%QhlH9-p&qe?;Yo((zoth
z!EFJNkCxzqu~zx0SU`c+ubA-Uv++eAe7Tv~_Q5w};+y|7GulOC;?11-%{lkn^L6K!
z-gVOq>v2dQ<VVPpkYj7`!s@w)F+6NNUiX0;z#ecjxE|~S9|NBT9|6l?FZdd`5ftDi
zFv$5fNO8`94}xuQ19$~|7`&bH``rF>u6IDn_Xk)2*RIXZZv;v211Zik;1ak4q&&ao
z_TO@S&AKd35BL)Hd%<mB1>6F@2|fYNfYiq|km|n!QoJ8>{U?y}t$^hJJGcehbZ=(g
z0h0bQNasgDiZ_<)lR3|UkHUThq>)oh@}pU9hR|%O@9u?E>>&uvmlpL;i{?kUXs#3!
zA=v{Ey4&tWeb61=55ZW{`(?Yv@$jH7*egl~LIyrQ+;Pvb>jB%X-jWSv)wooF7*^^a
zA8{ID)$FU#tBQXZgSz8$*Rlm0s5t>b|D{&KM#HaqLP$QUYJ%;x{D6mU%?d<~D+xW6
z)jE6Cg@Yxz<NKjtgPtQ1MDfAh6}CUi=LuK&PN2MTw%@Hg@(|xewGGw9s9@=v4`)3M
zDcf!cF0C=gwgLx9q&O60)hWu8C2>75=BO|)yDPjO+O|NI0-c}~bwE^u;+|UZ4dMBS
zR^nOyBIPfpnG5^&>>F6!-~QYSg?zBZp>bD~cz^<)cN>-?`+2o)dA<nBuMbs<J6HWY
zOZp?iD-Ou2syWgw@twm?P}plpJH%W|{D4&$Y=oZGC{~m=>X*25Q`IlO*w3@i^0SgZ
zRp#5b_7~Xl$+OE7hnZ=9YND2D&Y9*#)@d&!S7*EK+UR$U{>JE*(KAMC6J0ZU+C;M^
z`q*e3JZ1ERi7p!bh0&j-o|DW(-_lp~<^OPPo;J+|qu);tEd58ke>rs)FR!$Zu=w!h
z&Y7=QE_`G(9#lEWlJgUtTT#-!nao^I&VIs{Z!N}0r&&CGVrBLi!p9%ph)+&2{5I%2
zK7KuJEq2#CZ}bHdEv5a=V<T%}j@m=#P@4<M`KxKkN79TRV1B6oZ$(cTecD8yr~ND%
zeJMS9DsH`FqN$|)ooTihCfwaLYMx)dG?(1?3f8Pp7Ed0(%f;xsE6WCeev%XKC9}A_
Jb0#{<{sfT*^1J{5

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ja/LC_MESSAGES/booktheme.po b/dev/_static/locales/ja/LC_MESSAGES/booktheme.po
index 216d54016..c1a314896 100644
--- a/dev/_static/locales/ja/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: ja\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "リポジトリ"
-
-msgid "open issue"
-msgstr "未解決の問題"
-
-msgid "Contents"
-msgstr "目次"
-
-msgid "Fullscreen mode"
-msgstr "全画面モード"
-
-msgid "Download this page"
-msgstr "このページをダウンロード"
-
 msgid "Download source file"
 msgstr "ソースファイルをダウンロード"
 
-msgid "Launch"
-msgstr "起動"
-
-msgid "Edit this page"
-msgstr "このページを編集"
+msgid "suggest edit"
+msgstr "編集を提案する"
 
 msgid "Toggle navigation"
 msgstr "ナビゲーションを切り替え"
 
+msgid "open issue"
+msgstr "未解決の問題"
+
+msgid "Download notebook file"
+msgstr "ノートブックファイルをダウンロード"
+
+msgid "repository"
+msgstr "リポジトリ"
+
 msgid "Theme by the"
 msgstr "のテーマ"
 
-msgid "Source repository"
-msgstr "ソースリポジトリ"
+msgid "Print to PDF"
+msgstr "PDFに印刷"
+
+msgid "Download this page"
+msgstr "このページをダウンロード"
+
+msgid "Copyright"
+msgstr "Copyright"
 
 msgid "Last updated on"
 msgstr "最終更新日"
 
-msgid "By the"
-msgstr "によって"
+msgid "Launch"
+msgstr "起動"
+
+msgid "Open an issue"
+msgstr "問題を報告"
+
+msgid "Fullscreen mode"
+msgstr "全画面モード"
 
 msgid "Sphinx Book Theme"
 msgstr "スフィンクスの本のテーマ"
 
-msgid "Open an issue"
-msgstr "問題を報告"
+msgid "Contents"
+msgstr "目次"
+
+msgid "Edit this page"
+msgstr "このページを編集"
 
 msgid "next page"
 msgstr "次のページ"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Search this book..."
-msgstr "この本を検索..."
-
-msgid "Print to PDF"
-msgstr "PDFに印刷"
+msgid "Source repository"
+msgstr "ソースリポジトリ"
 
 msgid "By"
 msgstr "著者"
 
+msgid "By the"
+msgstr "によって"
+
 msgid "previous page"
 msgstr "前のページ"
-
-msgid "Search the docs ..."
-msgstr "ドキュメントを検索..."
-
-msgid "Download notebook file"
-msgstr "ノートブックファイルをダウンロード"
-
-msgid "suggest edit"
-msgstr "編集を提案する"
diff --git a/dev/_static/locales/ko/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ko/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..06c7ec938b4975c721caff60b956e343eef11570
GIT binary patch
literal 1375
zcmZvaOKeP07{`yd4(d%v#j){Nj8{Ztn%SV0CPY#8w=>6`%k-R^d(Xw}Jf>8QN5e!h
zBbA`3bkQ)WS=dVKSy@;~B<{I88!P_b+$$|{a=-hV^ZNe(@4NG5)%+^MSdZvHd_rtS
zROaA?v3M?Hcvu@=3&Ew}VsJIs26lk!z^&jKFbl2%PlD~B0GES0VHu=655Q&M6L2Xw
z0j>n66Mjh6KPU5VAnE-CQ{cRL@%?s?<{cpA*#<VjeIV&X$^MUI{tKi$3+FSo30whg
z1a~Iv0jZ8WxB)DIRNsA&^1lMf_uGW;!4;T)1S!u~kn;aZ_S+W3`|Clvw>_Ef2kG3A
zWc>t4Ehi1?A9+}fAZ<D~dmwd7lln`8>Zd{dqh6EFS_D$EB?$Vqvj_EszTqMS+R^&H
z>|hBG*9E~2DXE3jK7P0*&#?=d9aa}*QCWE|l@|R<o#$trqL^9sRp8~sKa0BH_}sN@
z!MgH}M(RJ)?x0xobDj{A52(CgM=f9Tz|C7)<hhcV2QpV+$6Xw-BzJs25Ukg8B$6oJ
zd$^mOiuF9<D&Nt{E3s2<!I78vLGspD5Cej>-n>7qsZZH<QE+KpaBNFE5Ru}Nj@>EJ
ziA7vbTyRv7*q)W%4{Te&r9dUHqRxq&PWR-~XN2b?TZYH_Y0^)(lvBrgj&;rK@7cLK
zl{7ZpS8_#$YZ%z&7A;41@?634e4(?a`?}KyX3lw*^v?<}-6eA>??^kt5A-`ab<~n}
zfWBt<d6nud2A)++cPnqe&v5CsrhayBCy#$-w@bby%lGW)Ofge?7e1>o^Y9)w_0g!>
zVByt<c|5_)*k$u{<ok4mg@es#xEW4g;Zdbx>hE}X>$!Q{z_su`ZeFjL;phL~syBFa
zXVlaiX8iI$xBl9S?ljH#2qeqqHLg5*5Kc5=W8s^|_vRD}$A^$29KXrU!@=<O6jH(x
zGq-B+7*$8%h>^_j5Dv6%;4cA#sHtggl>eA))${_687xQDk?6`Kc@OWFO}WOS!3uO(
zjPOmFMc3|`Ymgi(M~_AsRb8*l6oj5N!k1G#oNSsg^a1i?<=NZRz?N8C9`e*ob%^~2
D6Q!<*

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ko/LC_MESSAGES/booktheme.po b/dev/_static/locales/ko/LC_MESSAGES/booktheme.po
index 8c19ab6d8..80142313b 100644
--- a/dev/_static/locales/ko/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: ko\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "저장소"
-
-msgid "open issue"
-msgstr "열린 문제"
-
-msgid "Contents"
-msgstr "내용"
-
-msgid "Fullscreen mode"
-msgstr "전체 화면으로보기"
-
-msgid "Download this page"
-msgstr "이 페이지 다운로드"
-
 msgid "Download source file"
 msgstr "소스 파일 다운로드"
 
-msgid "Launch"
-msgstr "시작하다"
-
-msgid "Edit this page"
-msgstr "이 페이지 편집"
+msgid "suggest edit"
+msgstr "편집 제안"
 
 msgid "Toggle navigation"
 msgstr "탐색 전환"
 
+msgid "open issue"
+msgstr "열린 문제"
+
+msgid "Download notebook file"
+msgstr "노트북 파일 다운로드"
+
+msgid "repository"
+msgstr "저장소"
+
 msgid "Theme by the"
 msgstr "테마별"
 
-msgid "Source repository"
-msgstr "소스 저장소"
+msgid "Print to PDF"
+msgstr "PDF로 인쇄"
+
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
+
+msgid "Copyright"
+msgstr "저작권"
 
 msgid "Last updated on"
 msgstr "마지막 업데이트"
 
-msgid "By the"
-msgstr "에 의해"
+msgid "Launch"
+msgstr "시작하다"
+
+msgid "Open an issue"
+msgstr "이슈 열기"
+
+msgid "Fullscreen mode"
+msgstr "전체 화면으로보기"
 
 msgid "Sphinx Book Theme"
 msgstr "스핑크스 도서 테마"
 
-msgid "Open an issue"
-msgstr "이슈 열기"
+msgid "Contents"
+msgstr "내용"
+
+msgid "Edit this page"
+msgstr "이 페이지 편집"
 
 msgid "next page"
 msgstr "다음 페이지"
 
-msgid "Copyright"
-msgstr "저작권"
-
-msgid "Search this book..."
-msgstr "이 책 검색 ..."
-
-msgid "Print to PDF"
-msgstr "PDF로 인쇄"
+msgid "Source repository"
+msgstr "소스 저장소"
 
 msgid "By"
 msgstr "으로"
 
+msgid "By the"
+msgstr "에 의해"
+
 msgid "previous page"
 msgstr "이전 페이지"
-
-msgid "Search the docs ..."
-msgstr "문서 검색 ..."
-
-msgid "Download notebook file"
-msgstr "노트북 파일 다운로드"
-
-msgid "suggest edit"
-msgstr "편집 제안"
diff --git a/dev/_static/locales/lt/LC_MESSAGES/booktheme.mo b/dev/_static/locales/lt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..4468ba04bc134a84fea5e3c973461cf02c9c2da3
GIT binary patch
literal 1413
zcmZvaJ*-qk6vsyag_RElKVp1=p+SgQ1!6(=Ws8Trm%IpJ!!Cq&-rn=>&feLX$$UJx
zy>yfs3mYDtv7j(9R@&?)#@fol&{<hPVPZr0pWXX-58~v`{C3XFJ^yq5d;dDV{~Lkv
z0p=3sADE{w@4tox<KXK;;1P$gya65t4}vGaL*NqlK6nOv7wm$^!5iRFkicVLYWNk%
zdA<gZfZu_K!SBI$z@Hla*2Mp8_J4z{_aE2-_w8G}e-z~X63BTz27d-W2l0r1u<Qq)
zfNz5Tf^UP*z)!$qIOM*U!H>Y(AbXL(_rUwj`9qL(er@8vgIw=pko$cKo&XOVSm=ES
z^8O^qK3oL({z?<?gY07ovTq(_%ee>6$1#4Nz2(054oJ;=;JiGzE*_kpy=GszcBB+<
zVRAov2m8<3><4U^|G(mLjYp;ti7%W@WK+ZsUk6=|lDOjTSmRV7txL4wTqQTPq1|wF
zISlEQU>fNty(&qp7CIsI&UP&u6NiDw%84sTTvaj2><g8skj`SC?QkTndt6Xf>KHSL
zUeFdvoa|j$6a9r=An&41F4Us$N7~+%m$|mVh$bZFtK3-hG;n2UNLsa}OO-T4EZt3u
z>KyAVM0}tv?Q&E0p7b%7C80_}Cn&{@X_(sUMf(<oh-@9X&~LMTd#>ENwtj7O_x!@A
z=Ua`j?LqCSBNGbv%p0ZcvK)?7h?KfF2W#z1yZ3^!ag#!O)ec>uZP}5RHgsxTRkqCV
zwIfYx^-K=RwAWmi#E!InzKz|B%X0Cvd)CU+U3uZ$a!agNntg;f8E)25tYny{XFsAC
z9jD(SkfM$V#H6LA*|v6LHF0AnD>v~vCkoohO{LBB-b;69+sY(u|L3sMiR5g1`bhd5
zjq=k+;szC}%nlMS$9vjXC#gc)P6nF&q9-bfo{CjQZe*xbNYi^#C9ConpM%1oLFKH0
za&)0WJ=gQWZ5W!M$i7!O!aIl|0e?HQ2Ro%kmCL#^O7u6its<JVb?G9^m?$yerAJ|$
zZOLY+Fx##<<Ci)qd?52?bQCIW>3{(8<Tx*Q1-TMM%b)wstrt>W!QLNCjg(=>2Jsvw
ClWZvf

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/lt/LC_MESSAGES/booktheme.po b/dev/_static/locales/lt/LC_MESSAGES/booktheme.po
index 368967f0a..2e6915a9f 100644
--- a/dev/_static/locales/lt/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: lt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "saugykla"
-
-msgid "open issue"
-msgstr "atviras klausimas"
-
-msgid "Contents"
-msgstr "Turinys"
-
-msgid "Fullscreen mode"
-msgstr "Pilno ekrano režimas"
-
-msgid "Download this page"
-msgstr "Atsisiųskite šį puslapį"
-
 msgid "Download source file"
 msgstr "Atsisiųsti šaltinio failą"
 
-msgid "Launch"
-msgstr "Paleiskite"
-
-msgid "Edit this page"
-msgstr "Redaguoti šį puslapį"
+msgid "suggest edit"
+msgstr "pasiūlyti redaguoti"
 
 msgid "Toggle navigation"
 msgstr "Perjungti naršymą"
 
+msgid "open issue"
+msgstr "atviras klausimas"
+
+msgid "Download notebook file"
+msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
+
+msgid "repository"
+msgstr "saugykla"
+
 msgid "Theme by the"
 msgstr "Tema"
 
-msgid "Source repository"
-msgstr "Šaltinio saugykla"
+msgid "Print to PDF"
+msgstr "Spausdinti į PDF"
+
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
+
+msgid "Copyright"
+msgstr "Autorių teisės"
 
 msgid "Last updated on"
 msgstr "Paskutinį kartą atnaujinta"
 
-msgid "By the"
-msgstr "Prie"
+msgid "Launch"
+msgstr "Paleiskite"
+
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
+
+msgid "Fullscreen mode"
+msgstr "Pilno ekrano režimas"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinkso knygos tema"
 
-msgid "Open an issue"
-msgstr "Atidarykite problemą"
+msgid "Contents"
+msgstr "Turinys"
+
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
 
 msgid "next page"
 msgstr "Kitas puslapis"
 
-msgid "Copyright"
-msgstr "Autorių teisės"
-
-msgid "Search this book..."
-msgstr "Ieškoti šioje knygoje ..."
-
-msgid "Print to PDF"
-msgstr "Spausdinti į PDF"
+msgid "Source repository"
+msgstr "Šaltinio saugykla"
 
 msgid "By"
 msgstr "Iki"
 
+msgid "By the"
+msgstr "Prie"
+
 msgid "previous page"
 msgstr "Ankstesnis puslapis"
-
-msgid "Search the docs ..."
-msgstr "Ieškoti dokumentuose ..."
-
-msgid "Download notebook file"
-msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
-
-msgid "suggest edit"
-msgstr "pasiūlyti redaguoti"
diff --git a/dev/_static/locales/lv/LC_MESSAGES/booktheme.mo b/dev/_static/locales/lv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..74aa4d8985d96a07c4c9be96f006f3b58d884342
GIT binary patch
literal 1404
zcmZ9K&5ImG7{*_dsL7ZQP5eMvump*E7&XB|oMjFhcNYS?IAk~8Yi8c*sqUVtras2(
zdKwT<9)#7Cr{GC*^B|r)^?-kXCk3y9;7t%O;`2^-vdb1-{p+f(exK)k=-;oN`-(7L
z!d%1r1@l$R&!4~z<NO&STyz1qr@)KgdGH!|0bB!L1h0e7gMIKSco)13GI#}yEk6aN
z&X?dN@N4iQ_$~Mx_(RK|+x=hL^&g<<{R?)$vuB&{FN3mP1EtOz;E&*Ypy>Ps;uHG2
zUH=1$um8Z;!As|eUIA~m+y%w|6qJ5G0bd5c0G|fGYu|qlzJT=-lzP8`lHs4A_&D=q
zlgkxQ>Rkt~f$z861tmufO5Zssk;}JoUbN-BWGj829FU-AF-2E~^e;o|NY;|8ctc5g
z22*^U9FmJ@OFxKVl@HxMz@_4p=>umY+Zgar9e9&XBW=2mZRzw_Sr>WeT%jhW<m2t&
zk{|J@%{VndRXStZ8k>mHkCxl1EW^k%TQzfIrX3xkO4V3L9xG?DPIfe<4=WtdR+$hI
z)4&^xB2Eo9w`s4@^IW-LqVor|S51w*uWpOC{VC6wR(CaQdfIncR<g2sZZaJWL@eKr
zjXNhgjY#ErZd__@pC}(vmN8s1I)N3J^C))jjJqGP52)5tjeb}3yDR0+?w#GO<M%h-
zez(&G+uc8?xThivyi=9h*mX6UY9BcE@9l4QZylfW+J*`H?v@?7v9VcC-5Q$M+0iyj
z$hD`+d1p{2ugmVX^Rv)XwpuMi|K_@C9{X=v^;%!ucx$~w8wptj+VHfeW0EJ?h=xP`
zaHs?AaGol|WxW{JM@Yx;Vf}EHCzbhnF+*<4&(i5bdhViD6K%><uX4jtEgv{l>MGG)
zBv*eURUdB+Oli45Wvi9v<xh|bG^mfDojcFwQ0bWCS1`6-;BUNl80tk4X(P_rOYO?L
zVObx|5^efa;EenlYJwo}TrX&2<xB)(nltT9j4gtG)Qb)(;$z)ppxecuUig5bS#185
zdNDG2A~+~C%1SRfR4Fj&SRkhu6f8n5PcUz|g0o`z03Ec4>9Ia6vne84ZIht?0o$f<
A2mk;8

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/lv/LC_MESSAGES/booktheme.po b/dev/_static/locales/lv/LC_MESSAGES/booktheme.po
index 066fa4e41..d4f4b1507 100644
--- a/dev/_static/locales/lv/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: lv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "krātuve"
-
-msgid "open issue"
-msgstr "atklāts jautājums"
-
-msgid "Contents"
-msgstr "Saturs"
-
-msgid "Fullscreen mode"
-msgstr "Pilnekrāna režīms"
-
-msgid "Download this page"
-msgstr "Lejupielādējiet šo lapu"
-
 msgid "Download source file"
 msgstr "Lejupielādēt avota failu"
 
-msgid "Launch"
-msgstr "Uzsākt"
-
-msgid "Edit this page"
-msgstr "Rediģēt šo lapu"
+msgid "suggest edit"
+msgstr "ieteikt rediģēt"
 
 msgid "Toggle navigation"
 msgstr "Pārslēgt navigāciju"
 
+msgid "open issue"
+msgstr "atklāts jautājums"
+
+msgid "Download notebook file"
+msgstr "Lejupielādēt piezīmju grāmatiņu"
+
+msgid "repository"
+msgstr "krātuve"
+
 msgid "Theme by the"
 msgstr "Autora tēma"
 
-msgid "Source repository"
-msgstr "Avota krātuve"
+msgid "Print to PDF"
+msgstr "Drukāt PDF formātā"
+
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
+
+msgid "Copyright"
+msgstr "Autortiesības"
 
 msgid "Last updated on"
 msgstr "Pēdējoreiz atjaunināts"
 
-msgid "By the"
-msgstr "Ar"
+msgid "Launch"
+msgstr "Uzsākt"
+
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
+
+msgid "Fullscreen mode"
+msgstr "Pilnekrāna režīms"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfinksa grāmatas tēma"
 
-msgid "Open an issue"
-msgstr "Atveriet problēmu"
+msgid "Contents"
+msgstr "Saturs"
+
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
 
 msgid "next page"
 msgstr "nākamā lapaspuse"
 
-msgid "Copyright"
-msgstr "Autortiesības"
-
-msgid "Search this book..."
-msgstr "Meklēt šajā grāmatā ..."
-
-msgid "Print to PDF"
-msgstr "Drukāt PDF formātā"
+msgid "Source repository"
+msgstr "Avota krātuve"
 
 msgid "By"
 msgstr "Autors"
 
+msgid "By the"
+msgstr "Ar"
+
 msgid "previous page"
 msgstr "iepriekšējā lapa"
-
-msgid "Search the docs ..."
-msgstr "Meklēt dokumentos ..."
-
-msgid "Download notebook file"
-msgstr "Lejupielādēt piezīmju grāmatiņu"
-
-msgid "suggest edit"
-msgstr "ieteikt rediģēt"
diff --git a/dev/_static/locales/ml/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ml/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2736e8fcf6f9e923c2403307f0b366086d37b335
GIT binary patch
literal 1883
zcmbW0%ZnUE9LGydG>*^22ObnFl0!U<F?v~M84uang_R91WTPTpdS@y#9cQbX?w%xj
zO9DQE4^Wtdh!7$o%c?O6)p6BiJ>=*`!Gj=35eWD<h=+WtsxwQLHHgJ@ed_UheCt;=
ze{S0}6tqYAp5(jC_Y~iochJ#(fp@}R;oa~zcrW||J`S%#=lc)b2Df7TAlv~Tf-gen
zHvu1jFT?xc>u@Vn6%SYIC#v~L=<+PV8oUUd{}t%`e}*gYclZSS_^!ZZxSjb`_!_(p
zTd=uFh;ewl;wqeG{x{qKTbqR#gE5?hpTno&U(oq&;Si6(7JLc50p0#-xD$R4pMlrl
zez^G_At=eHx!OEj&F+K95`^|`3%xs|tB0$dYp$lQaXj&eABB3jp*ug}eRDN&btbLg
zC_?O6<R^=s5)(<fn8n>*AzH~{-A|&9)JdV{ljJRVAnvQR<vbZ=ZMAN(=*78AqplK@
zowy+4&FM^(7jlqxqC$0KqQy)!(CwahB~@BRTE=-kP+~TVHBO0~ZB2=NA%3RPB#(<E
zTNL}!UaXJEJx<G9Pc10ndpRGZ&n4Y%Ur8Muin~z}lSHc{MNpHtJRwP%sY7uxsAT4Y
zZdV~qA(#BgLDeqm)1CUOD$5DckRfT^C9V5(wY}4OC)f6OKlglXBGHA?MSX5DRSj8?
zbywPtVm&U~y(r67(cC{bRUcck%Oag0P+5Iax06n+yA3%u9~ZTmNOuPmuOS!uwb}k4
zi~9AcBwNTEQm1~JH(wZ+Vc6WM<@ToB{p@&6So4uJ#+Jvd`NEo?tohar$`5b1v24xI
zmY1zr#?bYqbSq}nnoHIk$92h;?^|=mZ-@SCp8_`=TraKp$|WnWFgk0?AFR3Pofx~#
zPi^^*-^U&+<PC{?!kP;{8$!>l4{_?&D7b7K<UJfw{;oBjg<Pck-@a7utgqVze>D1k
z&HJ`jzT)e&M4gbqlB?mhqaXMpAZg<;-hlh5ZiX1=e3<iuvE~~uU{u?xR-agN9yQ^x
zR1w=tUSpM;SXffdTOIiW)$!pnP&3+cR}yZUFchB)Cgkl-yZ)-kO~8|0hkGI`J_2um
zXs7)+By;N_8R~)&2OqM8;G^Mrjg*}8L3y&_(YY7MQzRnyNw)87`6G_JKwjf1w^6P#
z-}qT@7Z{S%6`3BxwO1nia;R50`%>6nUswzgb&SN${bnp4Gv=IQ6$P05hgaiFop^2w
W+5FkQ^s?wV7=JSkIl3Km4aE({iDO&<

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ml/LC_MESSAGES/booktheme.po b/dev/_static/locales/ml/LC_MESSAGES/booktheme.po
index 2b0fd7692..5d8ed33b6 100644
--- a/dev/_static/locales/ml/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: ml\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "തുറന്ന പ്രശ്നം"
-
-msgid "Download this page"
-msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
-
 msgid "Download source file"
 msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
 
-msgid "Launch"
-msgstr "സമാരംഭിക്കുക"
-
-msgid "Edit this page"
-msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
+msgid "suggest edit"
+msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
 
 msgid "Toggle navigation"
 msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
 
+msgid "open issue"
+msgstr "തുറന്ന പ്രശ്നം"
+
+msgid "Download notebook file"
+msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
+
 msgid "Theme by the"
 msgstr "പ്രമേയം"
 
-msgid "Source repository"
-msgstr "ഉറവിട ശേഖരം"
+msgid "Print to PDF"
+msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
+
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
 
 msgid "Last updated on"
 msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
 
-msgid "By the"
-msgstr "എഴുതിയത്"
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
+
+msgid "Open an issue"
+msgstr "ഒരു പ്രശ്നം തുറക്കുക"
 
 msgid "Sphinx Book Theme"
 msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
 
-msgid "Open an issue"
-msgstr "ഒരു പ്രശ്നം തുറക്കുക"
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
 
 msgid "next page"
 msgstr "അടുത്ത പേജ്"
 
-msgid "Copyright"
-msgstr "പകർപ്പവകാശം"
-
-msgid "Search this book..."
-msgstr "ഈ പുസ്തകം തിരയുക ..."
-
-msgid "Print to PDF"
-msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+msgid "Source repository"
+msgstr "ഉറവിട ശേഖരം"
 
 msgid "By"
 msgstr "എഴുതിയത്"
 
+msgid "By the"
+msgstr "എഴുതിയത്"
+
 msgid "previous page"
 msgstr "മുൻപത്തെ താൾ"
-
-msgid "Download notebook file"
-msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
-
-msgid "suggest edit"
-msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
diff --git a/dev/_static/locales/mr/LC_MESSAGES/booktheme.mo b/dev/_static/locales/mr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fe530100d7715cdc19a6f9db33a971665835f3c4
GIT binary patch
literal 1674
zcma))-D_M$7>7rVU#qnriYO?KB2uYGt)hetL1>ylCBZ;a@uD{;yVJ8rH#3KG&bG~6
zRisua;ze5NO^wW!;71IF+EldSwKo+61wrP<OaB8ed}e0Nwy{Eo-SeFJc;Daq{^tC#
zYh+n49^n57|L^!e%Ky+UJQ!Eut?*}f2mA%z4S$CZ!at#p{TuFrJ2`wGd=hSlFG3$T
z0k^?d;l1z;xD%=Yj}F#P4(6w!*I9)PcmewO@1c+X32wmOpx6EQwnz&fVtxs}0<Xe-
zaL0%cFT=S3KY)9f{|J2_f5E5V$n8Rm!aZ;|Y{O^ZDd_$A7QO_3g^$5)H0PPXhv5u-
z0%j0PHixfq$6$63q%1*-Fz({%d-Q&I@BHwd`ayf*{_qz4@UOoAI|pmt6Yn!}f);3Y
ziJz=HN=%qysm!xZE%uwEx@*$5)TUMo#=IpD=Up{iu1v3NsV$3jC$D6YW=c%9^O}tR
zPN&nVmc62#)~YRy7Sm}@w>sjrLTQ<5nO9X$iP<vO1Q|KIe@e{7{G}>PmDi?R5_3f-
z*T>{OU(0+)Eh-V7av_#JZ?debq)w0ISz70aXmzZP)flf6MT$}#$xUxiX4T6wMQMt1
z(Km0ZR-GJZC$ForB1Kb1(Zq`;L9Q`#U}kc-zxUba8xuy?O4rH!QlXl%M)kR(o922<
zwmNB9se1h2{8TbJJXfZ=I;_fMQnySy*I84JF64D%I@MVZ^O|z8Y|M6hW!g=qOu1M!
zr7ps>8h>F-#@F%PT0TB5_dY$=5YC=={Zr0fboPp~>pX9~wCwsPo&DVPkH=Hao^bXY
zXIEYSL*AVI()HhVc3C?6MacEOvlp1GgbA^$%){9gR+l%mHiEnj&-JixH&Y;SGbt{+
z{t03z?p<dug-oB`g!2D{Z8-amPv-qN@9YoG`htc9zvt{}1VaO7qcTg;#jiOWI`vV)
zH|(=u%h~Hvd=!0J3y#G|l&)|FpFWA65gpxL37!*zt=!T&r>+g;%KlU0jXnJ;6hm+E
zO4d<`2T4o{Hn?Oyg$)#jm)Q^UYaHJCp>S-t$!CBi7ej)}A>Wy>@(p%y@Lc$O&cyp1
zdP#?v^I4GaH+|g|B8k!Ldl%Wfwrg(}`)i>kl#a*D@zz$^*>a1%2AcIZ5x;fu4@Sqm
A6951J

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/mr/LC_MESSAGES/booktheme.po b/dev/_static/locales/mr/LC_MESSAGES/booktheme.po
index 51d011fc4..64389fac9 100644
--- a/dev/_static/locales/mr/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: mr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "खुला मुद्दा"
-
-msgid "Download this page"
-msgstr "हे पृष्ठ डाउनलोड करा"
-
 msgid "Download source file"
 msgstr "स्त्रोत फाइल डाउनलोड करा"
 
-msgid "Launch"
-msgstr "लाँच करा"
-
-msgid "Edit this page"
-msgstr "हे पृष्ठ संपादित करा"
+msgid "suggest edit"
+msgstr "संपादन सुचवा"
 
 msgid "Toggle navigation"
 msgstr "नेव्हिगेशन टॉगल करा"
 
+msgid "open issue"
+msgstr "खुला मुद्दा"
+
+msgid "Download notebook file"
+msgstr "नोटबुक फाईल डाउनलोड करा"
+
 msgid "Theme by the"
 msgstr "द्वारा थीम"
 
-msgid "Source repository"
-msgstr "स्त्रोत भांडार"
+msgid "Print to PDF"
+msgstr "पीडीएफवर मुद्रित करा"
+
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
+
+msgid "Copyright"
+msgstr "कॉपीराइट"
 
 msgid "Last updated on"
 msgstr "अखेरचे अद्यतनित"
 
-msgid "By the"
-msgstr "द्वारा"
+msgid "Launch"
+msgstr "लाँच करा"
+
+msgid "Open an issue"
+msgstr "एक मुद्दा उघडा"
 
 msgid "Sphinx Book Theme"
 msgstr "स्फिंक्स बुक थीम"
 
-msgid "Open an issue"
-msgstr "एक मुद्दा उघडा"
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
 
 msgid "next page"
 msgstr "पुढील पृष्ठ"
 
-msgid "Copyright"
-msgstr "कॉपीराइट"
-
-msgid "Search this book..."
-msgstr "हे पुस्तक शोधा ..."
-
-msgid "Print to PDF"
-msgstr "पीडीएफवर मुद्रित करा"
+msgid "Source repository"
+msgstr "स्त्रोत भांडार"
 
 msgid "By"
 msgstr "द्वारा"
 
+msgid "By the"
+msgstr "द्वारा"
+
 msgid "previous page"
 msgstr "मागील पान"
-
-msgid "Download notebook file"
-msgstr "नोटबुक फाईल डाउनलोड करा"
-
-msgid "suggest edit"
-msgstr "संपादन सुचवा"
diff --git a/dev/_static/locales/ms/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ms/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f02603fa2522a40060bd3f1b5d65052c77530de6
GIT binary patch
literal 1213
zcmZXRJ8Km|6vs!6uj@1M0TG1}Eworov<WxdCN~L05)#Z+EG(S6JK3G=?#wceB=;j&
ziG^uW3sx3Z7K$IhMnOan>@58TBL2_ajS)TU%x`DrywA6>k!K8Y7V9F`8>~xM5BFh%
zd;s@@AHhT5C-5lv6+91q2g&v)I0lYF`6PH1JO$nc$*v2Y0Pldu!3W?dC>w4z_m7+N
zHb`+^fGzM9NcL|*vVRZ02ETwK;L`&&w?VSo0ms4TAm#b4;b-tP&Og8l;4hH$$Kizh
zUTHW1Qhptf^p`=>djwK_>)<(X03HLMfK>lZ^ZpV<Oa2JGkslJ$M_6`{4v-^QR3pVB
z-z3yi5|qcz4FBr*^h<djZtkcj)Mx53LNYcpz{h<iS=UqptJ2J~S+l7NBNDESmwjV$
zzNQMfckN8DvHa)KXUg$Pq>{}g%EROCaZxzWLzM_G6K*tH6hX%sTdt($LUZL@kZi>&
z4I{%>X6M;z?cd7EIOUBUu+=J4dW+9cF1<{ak_~s>uT$@tG%Y08Vne0ED+JMU%h%Z$
zic<%vtlUs0G-<k!rV^=1q>K1wUB*6INTU1FI=E=_I%q^eqhYw#(!$c*-uvW@iB{KW
zFSU<)gG#o!N7S2DA(WoxaVD&jzH_fPA5HD)S)tvUw9%Z7O`>$#=2Ly;TZ=-c0nKak
z(zRBKU_}wl8(X?I*VXXoI=7~I{oA>w`Q;9uyguDx%Y{TQY0E^;V^w*<mV!VpgAJOm
z303fZ$OFyt{}&g^zO;WEWTFryjYX?^kbhtFq!oFlEKgJ}OW}A9HMBVqn5vG2&4p$&
zAr~BvaFnsG^hhh0!@1tw9jM|>;2yki7=)(TY<OX)9L&@d%}AYMC3$t|i|6R7w880t
eV9EtF-J(E&`s>V{?8_pQ^c*8Iog%4v$iD&q$RjNP

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ms/LC_MESSAGES/booktheme.po b/dev/_static/locales/ms/LC_MESSAGES/booktheme.po
index 6f8a250ec..4365ff549 100644
--- a/dev/_static/locales/ms/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: ms\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "isu terbuka"
-
-msgid "Download this page"
-msgstr "Muat turun halaman ini"
-
 msgid "Download source file"
 msgstr "Muat turun fail sumber"
 
-msgid "Launch"
-msgstr "Lancarkan"
-
-msgid "Edit this page"
-msgstr "Edit halaman ini"
+msgid "suggest edit"
+msgstr "cadangkan edit"
 
 msgid "Toggle navigation"
 msgstr "Togol navigasi"
 
+msgid "open issue"
+msgstr "isu terbuka"
+
+msgid "Download notebook file"
+msgstr "Muat turun fail buku nota"
+
 msgid "Theme by the"
 msgstr "Tema oleh"
 
-msgid "Source repository"
-msgstr "Repositori sumber"
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
+
+msgid "Copyright"
+msgstr "hak cipta"
 
 msgid "Last updated on"
 msgstr "Terakhir dikemas kini pada"
 
-msgid "By the"
-msgstr "Oleh"
+msgid "Launch"
+msgstr "Lancarkan"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Buku Sphinx"
 
-msgid "Open an issue"
-msgstr "Buka masalah"
+msgid "Edit this page"
+msgstr "Edit halaman ini"
 
 msgid "next page"
 msgstr "muka surat seterusnya"
 
-msgid "Copyright"
-msgstr "hak cipta"
-
-msgid "Search this book..."
-msgstr "Cari buku ini ..."
-
-msgid "Print to PDF"
-msgstr "Cetak ke PDF"
+msgid "Source repository"
+msgstr "Repositori sumber"
 
 msgid "By"
 msgstr "Oleh"
 
+msgid "By the"
+msgstr "Oleh"
+
 msgid "previous page"
 msgstr "halaman sebelumnya"
-
-msgid "Download notebook file"
-msgstr "Muat turun fail buku nota"
-
-msgid "suggest edit"
-msgstr "cadangkan edit"
diff --git a/dev/_static/locales/nl/LC_MESSAGES/booktheme.mo b/dev/_static/locales/nl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..e59e7ecb308a7648cd23aa6342a9ad98a61d0009
GIT binary patch
literal 1356
zcmZXTJ5Los6vqcag)1TtUj+$cqf)Gju^^CJh(JODkqBZvyL;~La`(<`W@dTSmfC47
z`~-XfW8nv|v9q$Ewb8~-3*-OXUAP1%JNw%?Gxz+@WA4%Tz*~WF19KAdE9MmDt3JFi
z2G0qBM-1V00UQPg!3l5(oCL3fx52Am6C4Mhfg>P+S3qC$CCGl>fS1Ad;4pXyj)5O)
zey;7`>h*V!^?rj5u)n|h{RqhGNs#^A0Y8F|zya_lcoF;svhE*{<LblaO>ng4G|2HU
zfE@n|kmKI2*9Rc$zXmzZceVWx9L4%m%`YJ5bp-OcA0YetTieIZSNl^S#~pwZ;4H``
z=N$Mv$HI25E$f~haMji1Jb17l9<0YPv;H+qxD=N#xwoeW*MWP;bwN40{S^!Qc%)BB
zJTcmn_6{G#zRi-<i$$}mbE9IZji=C<wrpiN^~}zcHli~|pJq-LDj~5HXCAJPm&;|I
zyT}r0*)cJRRpq=ai&%MzrO{ZII!eXU0tb|qnR6wHb(?88F>-xzS!`5#mI~uCZ|uI<
zDAG*t$pwyWGo=oR?puacPMao4a*|r@WQp<_L^SRBDmueDl}KS}Co^Ro_9^$SOcFwr
zgiH{M*`~+`D{-(z*1_AHtn>rc54y^YwUxD{-u}$J2aUS0!RCHJbJ8P#`$euYJujnF
zSx3J4d~-RN?VYnqyB67CNk=BmbTTJr!^}5Ul}<|3bx!KMv7VP!<-xMC9S1|vUApGO
zd0Bln?`nCgDQBkV8|as@-IqkwS9EI1Sg6udX`Q7gMb~>RJ??afw3Uu~8!34iTBHBl
zi0Od1qM24Aq+POY$n;EGCeKm6M7k&?+d-F=M@18=IxkHDla2^|PO9GX1u3ivbE1xT
z+=^}4Zo{ONva*O<VgXT@!sRMK8R4wH1VL!1jf>n--8-OUjI=r94V1Y}`N=IHv19Ut
jbWAeLReX?b<52fDoT%;?`~gm~I(s23S;SN2irW1H>^?=m

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/nl/LC_MESSAGES/booktheme.po b/dev/_static/locales/nl/LC_MESSAGES/booktheme.po
index 4065b5823..f7b18e5d5 100644
--- a/dev/_static/locales/nl/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: nl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "repository"
-
-msgid "open issue"
-msgstr "open probleem"
-
-msgid "Contents"
-msgstr "Inhoud"
-
-msgid "Fullscreen mode"
-msgstr "Volledig scherm"
-
-msgid "Download this page"
-msgstr "Download deze pagina"
-
 msgid "Download source file"
 msgstr "Download het bronbestand"
 
-msgid "Launch"
-msgstr "Lancering"
-
-msgid "Edit this page"
-msgstr "bewerk deze pagina"
+msgid "suggest edit"
+msgstr "suggereren bewerken"
 
 msgid "Toggle navigation"
 msgstr "Schakel navigatie"
 
+msgid "open issue"
+msgstr "open probleem"
+
+msgid "Download notebook file"
+msgstr "Download notebookbestand"
+
+msgid "repository"
+msgstr "repository"
+
 msgid "Theme by the"
 msgstr "Thema door de"
 
-msgid "Source repository"
-msgstr "Bronopslagplaats"
+msgid "Print to PDF"
+msgstr "Afdrukken naar pdf"
+
+msgid "Download this page"
+msgstr "Download deze pagina"
+
+msgid "Copyright"
+msgstr "auteursrechten"
 
 msgid "Last updated on"
 msgstr "Laatst geupdate op"
 
-msgid "By the"
-msgstr "Door de"
+msgid "Launch"
+msgstr "Lancering"
+
+msgid "Open an issue"
+msgstr "Open een probleem"
+
+msgid "Fullscreen mode"
+msgstr "Volledig scherm"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx-boekthema"
 
-msgid "Open an issue"
-msgstr "Open een probleem"
+msgid "Contents"
+msgstr "Inhoud"
+
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
 
 msgid "next page"
 msgstr "volgende bladzijde"
 
-msgid "Copyright"
-msgstr "auteursrechten"
-
-msgid "Search this book..."
-msgstr "Zoek in dit boek ..."
-
-msgid "Print to PDF"
-msgstr "Afdrukken naar pdf"
+msgid "Source repository"
+msgstr "Bronopslagplaats"
 
 msgid "By"
 msgstr "Door"
 
+msgid "By the"
+msgstr "Door de"
+
 msgid "previous page"
 msgstr "vorige pagina"
-
-msgid "Search the docs ..."
-msgstr "Doorzoek de documenten ..."
-
-msgid "Download notebook file"
-msgstr "Download notebookbestand"
-
-msgid "suggest edit"
-msgstr "suggereren bewerken"
diff --git a/dev/_static/locales/no/LC_MESSAGES/booktheme.mo b/dev/_static/locales/no/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6cd15c88de675226c00ca4d0430171075e5559ff
GIT binary patch
literal 1317
zcmZ9KJ#5r46vxeXdz6pzxm3a|d<+2!3{|TeDD*@{E2`eX#NxZWChjG6WIIQ@F#r=I
zh=CaiW+cQ+7sSlefekSsA;E&g!2exRwZe-1i=UnMe;@gJZ0`$!aT;?1^9$w~%xAl>
zV2tb*0*@HQvL74+N5JFYC^!M00?&abz$SPMTm}z=1ReoH&Bq}7c@7=|Ux8!bTW}nF
zU-MIK->moFLDu^NHo!f5s_zejyq^Hs&w20zcpb!5@dLyoequQQ{ss?%e?g9WWG`|7
z&ww2NwR(RWJc|7Tkn_pGec+?o{<P*xkoDhyobNl3bv}Ze_viY26XblqfgI;Ako~h$
z)*lDC<b1|@91GhyM$UWZz^B7+S&s+n^WgfiChMHU<ajw(?(NRO_2(XPoLn2OlbBt{
zBST8!rZs^~@OUZKolepqZrO(>vnrOx2I^Ydmn%A>ZL_zf>(PJ4kZLarm5`W=b%5)w
zZL7>O-*ZGp<~Am=pnQ;J5vxG4v<Caq^ipxRzy)Qb_P!*s<g|ekE0=DyM7z>+R9LTr
zb?c&Cq}r^>S&prfQchyH%5IfY$0kWe(x`z>RL~GHv=*x9EbCMvg`<JCWgYeo_r6RL
zLX?C|5Q<%;UWn%7=sr0QZ_~2Uk61q%DmNDA7w5LmCof%T)P;>Y>jh2AfB-HRnbKxP
z_EP0Mh336ZE1KHA=alg)<f1v#v#~bGw4Cbd&{$9=DN)yHw4<?<l}=?*%evgdPz<-e
zd38osugwcao^8s>i!%*zV<7HREar_#Z59h#6sa0`M<G-_FsMH|tU}lJxxw5DB+cf&
z&SLt{7Lzd~y#~cHDwB|tJ8i>0_gBf~5&B$u(bn(=RqnJ4d{?xCazSi7Dd36F5NEp?
z<)YnpdLT<QTxY|M-(me2{SI5LMvQ@SB|2E78sP5@2zA(CzdCHN4^?zx<2720!!pmw
hi52VcSJy{~rb`2bpDXdWAM+{sY~!_bRYo`v{{W+8I9vb#

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/no/LC_MESSAGES/booktheme.po b/dev/_static/locales/no/LC_MESSAGES/booktheme.po
index c4391bb00..274823a86 100644
--- a/dev/_static/locales/no/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: no\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "oppbevaringssted"
-
-msgid "open issue"
-msgstr "åpent nummer"
-
-msgid "Contents"
-msgstr "Innhold"
-
-msgid "Fullscreen mode"
-msgstr "Fullskjerm-modus"
-
-msgid "Download this page"
-msgstr "Last ned denne siden"
-
 msgid "Download source file"
 msgstr "Last ned kildefilen"
 
-msgid "Launch"
-msgstr "Start"
-
-msgid "Edit this page"
-msgstr "Rediger denne siden"
+msgid "suggest edit"
+msgstr "foreslå redigering"
 
 msgid "Toggle navigation"
 msgstr "Bytt navigasjon"
 
+msgid "open issue"
+msgstr "åpent nummer"
+
+msgid "Download notebook file"
+msgstr "Last ned notatbokfilen"
+
+msgid "repository"
+msgstr "oppbevaringssted"
+
 msgid "Theme by the"
 msgstr "Tema av"
 
-msgid "Source repository"
-msgstr "Kildedepot"
+msgid "Print to PDF"
+msgstr "Skriv ut til PDF"
+
+msgid "Download this page"
+msgstr "Last ned denne siden"
+
+msgid "Copyright"
+msgstr "opphavsrett"
 
 msgid "Last updated on"
 msgstr "Sist oppdatert den"
 
-msgid "By the"
-msgstr "Ved"
+msgid "Launch"
+msgstr "Start"
+
+msgid "Open an issue"
+msgstr "Åpne et problem"
+
+msgid "Fullscreen mode"
+msgstr "Fullskjerm-modus"
 
 msgid "Sphinx Book Theme"
 msgstr "Sphinx boktema"
 
-msgid "Open an issue"
-msgstr "Åpne et problem"
+msgid "Contents"
+msgstr "Innhold"
+
+msgid "Edit this page"
+msgstr "Rediger denne siden"
 
 msgid "next page"
 msgstr "neste side"
 
-msgid "Copyright"
-msgstr "opphavsrett"
-
-msgid "Search this book..."
-msgstr "Søk i denne boken ..."
-
-msgid "Print to PDF"
-msgstr "Skriv ut til PDF"
+msgid "Source repository"
+msgstr "Kildedepot"
 
 msgid "By"
 msgstr "Av"
 
+msgid "By the"
+msgstr "Ved"
+
 msgid "previous page"
 msgstr "forrige side"
-
-msgid "Search the docs ..."
-msgstr "Søk i dokumentene ..."
-
-msgid "Download notebook file"
-msgstr "Last ned notatbokfilen"
-
-msgid "suggest edit"
-msgstr "foreslå redigering"
diff --git a/dev/_static/locales/pl/LC_MESSAGES/booktheme.mo b/dev/_static/locales/pl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9ebb584f77091f5666db4194ecd4f707396cbbca
GIT binary patch
literal 1371
zcmZ9Ky>AmS7{(1PP{Mcl94asi9}+1PF;uA{A!sWqQCgLP1e<f`UfjFbC)?NbGFBiK
z!~{ddU(mS{AjC!@F)}bQure_*AU2*iceDj7=U-lbJn!Sz{x&@LilLpxH-hgAzH|7V
z??Q(*w3{*f*nV_-!GquscpTghj)14Y3*ZT`4i1A0;9*dLM?hcl2}n9G!9(C{@F2JW
z9s}Q${8WyAE#vPX<@*g*z=45c|6!2g5s-8)g73f^;2!Wt$)Df>#J@rEvuCjIeG)u_
z_zHL&oC3+mBarlB@FchjQl1we?OzAU{{~3=--1+!&*l7gkoNrokAjC_hW4EWNq-dF
z2i^p!UUxt$Ipw67YDs=blg_=fL9(w&^`%C>sF5z^AYYUllKnH&-R^8uf4W1;k8<?y
zm)*+o<Gv}`ZKJ)^-r-N0TNO1un>1~m7!h)9ylfZ~^CgwY?O|s!8_53#eN#D}ib%4l
zP<crI4X3jtae<Xm^OgxEyDOaMSsDs2LvA$UOb1Oimtuj?TsfCXHgA=Nh~e{-)9ikc
z&&t#|<&DkR{j{m{D!)bE7MrpqS-<Cv;!KMsiW14SSW%Ji3Q4qF^@Te_d5R>dl`G0*
zrR^Q^E{h@wml7v|6|*b@U!4i752bZbtMMX#mGW2nnJcq1vs2siW24t9Wnrs}c`9q%
z!@$)v5lT<+ped}AzW!iwx;nnS&I;|8q^(Zrz=TRiH9p=@zH(RSC_`OqJWVR|NoGY-
zoi?`RYFwxN(ABR`V3KC)moz_L=VO;ADlp!Wow9!{+QNF%d)<A;Qj36#43%`TLaj|h
zN!x*fis{OQ*D4nO4)@;MkDFm{&9w8a3Ey4k&Re6q>$vmWXUlwR2&%HTrgJW19E;7l
zzACcDJ`;)Rh+tW;2Q~|urlsI%&bL2qk_T%ViEOb+o5j!ziwCfPoA2cCtFji~wj$ZA
z@p+raPIaI5KE$fLmvXo`p>N|Ts6=nA`!wj_O|<bQf@OHVhlki*PqipcA(+8h>+>xW
d^Crc{P^+yKEfI-Mu31OGXlgVp$}sP%{Q=l!SrY&N

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/pl/LC_MESSAGES/booktheme.po b/dev/_static/locales/pl/LC_MESSAGES/booktheme.po
index bd03ba4ea..dfba3f698 100644
--- a/dev/_static/locales/pl/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: pl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "magazyn"
-
-msgid "open issue"
-msgstr "otwarty problem"
-
-msgid "Contents"
-msgstr "Zawartość"
-
-msgid "Fullscreen mode"
-msgstr "Pełny ekran"
-
-msgid "Download this page"
-msgstr "Pobierz tę stronę"
-
 msgid "Download source file"
 msgstr "Pobierz plik źródłowy"
 
-msgid "Launch"
-msgstr "Uruchomić"
-
-msgid "Edit this page"
-msgstr "Edytuj tę strone"
+msgid "suggest edit"
+msgstr "zaproponuj edycję"
 
 msgid "Toggle navigation"
 msgstr "Przełącz nawigację"
 
+msgid "open issue"
+msgstr "otwarty problem"
+
+msgid "Download notebook file"
+msgstr "Pobierz plik notatnika"
+
+msgid "repository"
+msgstr "magazyn"
+
 msgid "Theme by the"
 msgstr "Motyw autorstwa"
 
-msgid "Source repository"
-msgstr "Repozytorium źródłowe"
+msgid "Print to PDF"
+msgstr "Drukuj do PDF"
+
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
+
+msgid "Copyright"
+msgstr "prawa autorskie"
 
 msgid "Last updated on"
 msgstr "Ostatnia aktualizacja"
 
-msgid "By the"
-msgstr "Przez"
+msgid "Launch"
+msgstr "Uruchomić"
+
+msgid "Open an issue"
+msgstr "Otwórz problem"
+
+msgid "Fullscreen mode"
+msgstr "Pełny ekran"
 
 msgid "Sphinx Book Theme"
 msgstr "Motyw książki Sphinx"
 
-msgid "Open an issue"
-msgstr "Otwórz problem"
+msgid "Contents"
+msgstr "Zawartość"
+
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
 
 msgid "next page"
 msgstr "Następna strona"
 
-msgid "Copyright"
-msgstr "prawa autorskie"
-
-msgid "Search this book..."
-msgstr "Przeszukaj tę książkę ..."
-
-msgid "Print to PDF"
-msgstr "Drukuj do PDF"
+msgid "Source repository"
+msgstr "Repozytorium źródłowe"
 
 msgid "By"
 msgstr "Przez"
 
+msgid "By the"
+msgstr "Przez"
+
 msgid "previous page"
 msgstr "Poprzednia strona"
-
-msgid "Search the docs ..."
-msgstr "Przeszukaj dokumenty ..."
-
-msgid "Download notebook file"
-msgstr "Pobierz plik notatnika"
-
-msgid "suggest edit"
-msgstr "zaproponuj edycję"
diff --git a/dev/_static/locales/pt/LC_MESSAGES/booktheme.mo b/dev/_static/locales/pt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d0ddb8728e1d5ef72dddc1537f66aa32251a83c8
GIT binary patch
literal 1364
zcmZ9KJ!lj`6vsyszs~RYi3A)AKVkhsL@peXm>dKW4Dqy|yM5Uk-JMxyXV09qrC4bb
zE3pu<6hyS##>&dd!p6cz!N$T$|8I9gLWZ0D-MpQB@BjWY-^NCt35+9{<CtGCk7GXG
zga^j<%|hTOcHprU+y!n24}d$saquvB3Ooq5z%g(U+yfH07xXnBft=?lxEp*9?gC$f
z`@wfLKh^QC_4)_M_5OklaAc(Veh<j&agg(z2H%5MKx`Giz)|ow$lw0~S<gT47`PWN
zS@$`RbziT!2=YDxkAgY46MO>h16S(zZ$SR;BglC^gY3_DkUjkg^8V2+RlY+YuTO%k
z_iDYq0kY*B<9wX!0496Oy4Me+EOW5GJh*=z>>q1pUk_m-WvQ8UtRL(@Yuttj8%m$V
z)DS=E`y_5y<H`68f6}4TQQwPc`@qCjh0<70U2E^jB^}dRIJ3Fy(T1S!>rAF9A~6$c
zkJPKnb{@xB&k-4!*pS4W%Dl|eP<aZaHCX4S*B3WaY*0q(EXzqOIBk%`%7y8+xK-72
zl-f*t>xSZ1+Sg`TPO-L5pAr(~Q+BJKIyQ=8l12@5q`XEEL(9HWXSq&QBy}{<Hm_x`
zOP}RYL{LfS1XAo>>iJ+c4DOK2kgX}J`T^Gu%F2!T+4-5Z_m|FJY}CdEoncB%=^@}k
z8Y^ukWUsGWM!t2s(+;k!?Q_axOXPwX)3c#AQBz*)YTuYsCd%P!Q>MPL5a&+CLEE|{
zYf6)r%dB;ILRNoUXN)}2l9$d-G{iJ)q}Wy`Tzm+v2(=>^C{+#@RV=2IURF*jcR$wy
zD??aTpZLaCOMFYpAW1l*WLmt4v{B_@b0}L2&D+qT-&mnh(n=I7vDb-`%I7N94^{E1
zcxfdiIC)dNQVDLK6_Z`3WS+>>*=|gU60=F_bfO(LmX~0$I{o6U(^gh;I@l*sE7k*N
z>oXB$Fttuh#-5x(d)$^9P*fEbsVm+tv!2x!?&s);C8;hsuS6ZkWkdpvO!dtuOAFi$
LL?J8GWh3H0!r)O_

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/pt/LC_MESSAGES/booktheme.po b/dev/_static/locales/pt/LC_MESSAGES/booktheme.po
index 8ac25a1c3..4c24eb9e2 100644
--- a/dev/_static/locales/pt/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: pt\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "repositório"
-
-msgid "open issue"
-msgstr "questão aberta"
-
-msgid "Contents"
-msgstr "Conteúdo"
-
-msgid "Fullscreen mode"
-msgstr "Modo tela cheia"
-
-msgid "Download this page"
-msgstr "Baixe esta página"
-
 msgid "Download source file"
 msgstr "Baixar arquivo fonte"
 
-msgid "Launch"
-msgstr "Lançamento"
-
-msgid "Edit this page"
-msgstr "Edite essa página"
+msgid "suggest edit"
+msgstr "sugerir edição"
 
 msgid "Toggle navigation"
 msgstr "Alternar de navegação"
 
+msgid "open issue"
+msgstr "questão aberta"
+
+msgid "Download notebook file"
+msgstr "Baixar arquivo de notebook"
+
+msgid "repository"
+msgstr "repositório"
+
 msgid "Theme by the"
 msgstr "Tema por"
 
-msgid "Source repository"
-msgstr "Repositório fonte"
+msgid "Print to PDF"
+msgstr "Imprimir em PDF"
+
+msgid "Download this page"
+msgstr "Baixe esta página"
+
+msgid "Copyright"
+msgstr "direito autoral"
 
 msgid "Last updated on"
 msgstr "Última atualização em"
 
-msgid "By the"
-msgstr "Pelo"
+msgid "Launch"
+msgstr "Lançamento"
+
+msgid "Open an issue"
+msgstr "Abra um problema"
+
+msgid "Fullscreen mode"
+msgstr "Modo tela cheia"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema do livro Sphinx"
 
-msgid "Open an issue"
-msgstr "Abra um problema"
+msgid "Contents"
+msgstr "Conteúdo"
+
+msgid "Edit this page"
+msgstr "Edite essa página"
 
 msgid "next page"
 msgstr "próxima página"
 
-msgid "Copyright"
-msgstr "direito autoral"
-
-msgid "Search this book..."
-msgstr "Pesquise este livro ..."
-
-msgid "Print to PDF"
-msgstr "Imprimir em PDF"
+msgid "Source repository"
+msgstr "Repositório fonte"
 
 msgid "By"
 msgstr "De"
 
+msgid "By the"
+msgstr "Pelo"
+
 msgid "previous page"
 msgstr "página anterior"
-
-msgid "Search the docs ..."
-msgstr "Pesquise os documentos ..."
-
-msgid "Download notebook file"
-msgstr "Baixar arquivo de notebook"
-
-msgid "suggest edit"
-msgstr "sugerir edição"
diff --git a/dev/_static/locales/ro/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ro/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..3c36ab1df7c589ad82614599b8c91f072a25d4a6
GIT binary patch
literal 1390
zcmZ{jxo;Ce6vhX_5zG}5ZUr$kT#~s&fgHI>97~Z1L||yB#=9@;f%VL44!~(cNeM!T
zzkmW7Bt%b&NVHTGv{Xn`NHmD=truc}813$F=kWX9`}X<s<d&xb;}Gs?+#hit$NhK{
z9vI`Bg}^0t;IR$d1&)JL;0|yaJP4iy_k&Gv61)NK0SVj-hKi3sj`IZE4ZZ+(fiJ;*
z;M<Dp)%vGu{sm;cA7Bj}8yo(956JUrkmH;J-+`Aw92H-|t>8CsJNO-Bou44rIk82E
zW8ekwD0mG#0%~vyTm=t+&p?jz3S_U|fL!MXkn8*mPJmxQ*7*st&Nlprc^KsLXDc>A
z&U>kv-vQZju7S_7m#oj;a^0f?p-U~+<-u`yunv38zH-h8DR$!Kd`AcS&)<;qgbk%n
zVs?N_h8~GIYXX_z@lp(&&U!(#>;scql}cj+b*;T8mvv4X%iczp&|iz8r@bsxMq)nI
z0il0S+cD35;)smw+mysr<%5hxssg3b8qA|fdg6M41IkG4eI&8uv_TLnms)LcbExO2
zuwDo22I6MX)8?U^<=i?w>XRs+vOBD)W3wzLY1Dn4sh}ZZ=wTRUXIW<`QaHM=ZLHEB
z3GZW;5wavyf>i8XN<w`ht=}f+5v?JI`gPW?m&&!pg~j=e{fp-=)GA}^ok2kj8IZvF
zB3IhX$fT#7r_j9BY1gl8oO8<fWped-lh{<7tRb&-b*NocCX4X3A)T!)<<Y6U-nOpq
z8`2cz)Hg59$l+`Aw2>#8^5U79nrN}tCR1WA7O>Nc7D^1!X_=B#5k}&OPu5mlqSjw%
ze9!ggnq18PeE0wD`{?}IYPqW%0!Wn*zA9eO0NP-Sd!P*Z&(5Mvp+E_$mG57h;3yNf
z@}T<)Q9@L?UQv!@t~hzGN|ByUi8HjaaJHLM9|{Y76xA;^5T@*t78+y)y;r5zA;cW%
z6j3gq1Ltf%1{N7Mh$B&^tz>kF94xj(C8Xe$PteOytPUysU!2AvEWuE6Fj7Z>o*_qS
K1txIYaExD}s9q8P

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ro/LC_MESSAGES/booktheme.po b/dev/_static/locales/ro/LC_MESSAGES/booktheme.po
index d0f7d2f23..5f03d9cdb 100644
--- a/dev/_static/locales/ro/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: ro\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "repertoriu"
-
-msgid "open issue"
-msgstr "problema deschisă"
-
-msgid "Contents"
-msgstr "Cuprins"
-
-msgid "Fullscreen mode"
-msgstr "Modul ecran întreg"
-
-msgid "Download this page"
-msgstr "Descarcă această pagină"
-
 msgid "Download source file"
 msgstr "Descărcați fișierul sursă"
 
-msgid "Launch"
-msgstr "Lansa"
-
-msgid "Edit this page"
-msgstr "Editați această pagină"
+msgid "suggest edit"
+msgstr "sugerează editare"
 
 msgid "Toggle navigation"
 msgstr "Comutare navigare"
 
+msgid "open issue"
+msgstr "problema deschisă"
+
+msgid "Download notebook file"
+msgstr "Descărcați fișierul notebook"
+
+msgid "repository"
+msgstr "repertoriu"
+
 msgid "Theme by the"
 msgstr "Tema de"
 
-msgid "Source repository"
-msgstr "Depozit sursă"
+msgid "Print to PDF"
+msgstr "Imprimați în PDF"
+
+msgid "Download this page"
+msgstr "Descarcă această pagină"
+
+msgid "Copyright"
+msgstr "Drepturi de autor"
 
 msgid "Last updated on"
 msgstr "Ultima actualizare la"
 
-msgid "By the"
-msgstr "Langa"
+msgid "Launch"
+msgstr "Lansa"
+
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
+
+msgid "Fullscreen mode"
+msgstr "Modul ecran întreg"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema Sphinx Book"
 
-msgid "Open an issue"
-msgstr "Deschideți o problemă"
+msgid "Contents"
+msgstr "Cuprins"
+
+msgid "Edit this page"
+msgstr "Editați această pagină"
 
 msgid "next page"
 msgstr "pagina următoare"
 
-msgid "Copyright"
-msgstr "Drepturi de autor"
-
-msgid "Search this book..."
-msgstr "Căutați în această carte ..."
-
-msgid "Print to PDF"
-msgstr "Imprimați în PDF"
+msgid "Source repository"
+msgstr "Depozit sursă"
 
 msgid "By"
 msgstr "De"
 
+msgid "By the"
+msgstr "Langa"
+
 msgid "previous page"
 msgstr "pagina anterioară"
-
-msgid "Search the docs ..."
-msgstr "Căutați documente ..."
-
-msgid "Download notebook file"
-msgstr "Descărcați fișierul notebook"
-
-msgid "suggest edit"
-msgstr "sugerează editare"
diff --git a/dev/_static/locales/ru/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ru/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6b8ca41f36ebf869818399a9584cdb15619bea78
GIT binary patch
literal 1722
zcmZ{iPiz!b9LJx6N>>C0{~WCHj6uL;MNkv6buUP3NFY{Oy-#-^yQABg$;>R!8?=By
zpk6eZkcjo>ZEd^jw#)9`jK?>LiHQeq#*-Is-2D7zrnWZnvTr^!zxmDY_x*j}{=RSL
zmx}cqdz}3X`vCjaLtI$99#)E<8sqXP+zofZ{csG9!)M_u@M&0v```y~4>WKujB{Rv
zQs)c!1iS-x!|&l!u$%MeJpNn${3n!t_hA9<*pYp|2g>s}lsboC555U^!oQ&C`x}bB
zF@i6^7vWp*ZFm@l@KtyR9)~}{gYZ5)1P?rt)qfX0&vOMzodC-FMW|sH%3Qy~Bk&LS
zGTh71lK%!g2;Ya|(?xg`eg?&InL*;Bbw69Q%iLQRlGKxI@mH42FH8IruciMpY+9?w
z*>bj97p>AWd<<esdcNx996ud5jC#lSV&laTH^E%!)*G=p<zMugzEjhlADbE9|3sg6
zn`Sc{`K_>Owguyc8|lEQ8#P&TV@hv4PPLlNs2UpM=~=&K)EOs=bt|Yjv8id_<GJNk
z8|uA)1jo~E6t#?+4qcBTzMeicrOsvjLKFCr8~fp$Iu|rt?~*<#+A0k*YgBsGGuccP
zzg}+|?Kv0Rx)ZxJ@yw+-Q|C*ctVs}>3$EYFWp61Twd!?)O2Z^b@jo`zxOlo&{K$k6
z)k-?+UzGmEv~%I?>9doY?~lFqdLcKqSeXk<Nyi8{8Z;f(o6yyU6GkR3e^{9+p4iL_
z9WOd>!s4V?^=qzIFX<CAZd^Fyc=Z;(mUP%EOgCGh(=1N;;cQgWUXVUU<>M1NyDcB~
z^h;%Z?8rnx*}Ha_UXm-xW!tf<aNaK4p}nW<5?HkzUUY5S4s6eM6gSIc43o>r6}wJC
zN81q@gr(9Fv3Bw)dp^0PldHtnY+u_Sxf$6W-wgO>O_L_|y0EwXD@jYPrM(BqO_Ddt
zDEk#<R%pFI!5%U?I=M}!1ue2u6;w^GCkx7cE7Op^PFjywLj>lk9`p%b*uDr%Zu6PU
zG_bh>@urJlTp^1w`f2$AR}2{1AJVy&({OH-XdNXBVw1Appn{Ug&D59FU~!E~qO?uY
z2%}Tqa+P*D{a@R!x0@kSMzqWv;2@B-rtEiw@7eZ-vn#fz?Gn!QP_`~@{!JJr^D>2;
zYX|@P$s&z$lLI4H4zg!gP;s5$q8v^-E0ZiHHwb^e&1~CN%&|G1oY;Q{yqk7f<t$gJ
i@_-u2HL|jQS)ax?<i92s$tm_37xz<%dFX!*R{aB>cCfJk

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ru/LC_MESSAGES/booktheme.po b/dev/_static/locales/ru/LC_MESSAGES/booktheme.po
index 9b55bfeae..2886570d0 100644
--- a/dev/_static/locales/ru/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: ru\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "хранилище"
-
-msgid "open issue"
-msgstr "открытый вопрос"
-
-msgid "Contents"
-msgstr "Содержание"
-
-msgid "Fullscreen mode"
-msgstr "Полноэкранный режим"
-
-msgid "Download this page"
-msgstr "Загрузите эту страницу"
-
 msgid "Download source file"
 msgstr "Скачать исходный файл"
 
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Edit this page"
-msgstr "Редактировать эту страницу"
+msgid "suggest edit"
+msgstr "предложить редактировать"
 
 msgid "Toggle navigation"
 msgstr "Переключить навигацию"
 
+msgid "open issue"
+msgstr "открытый вопрос"
+
+msgid "Download notebook file"
+msgstr "Скачать файл записной книжки"
+
+msgid "repository"
+msgstr "хранилище"
+
 msgid "Theme by the"
 msgstr "Тема от"
 
-msgid "Source repository"
-msgstr "Исходный репозиторий"
+msgid "Print to PDF"
+msgstr "Распечатать в PDF"
+
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
+
+msgid "Copyright"
+msgstr "авторское право"
 
 msgid "Last updated on"
 msgstr "Последнее обновление"
 
-msgid "By the"
-msgstr "Посредством"
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Открыть вопрос"
+
+msgid "Fullscreen mode"
+msgstr "Полноэкранный режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги Сфинкс"
 
-msgid "Open an issue"
-msgstr "Открыть вопрос"
+msgid "Contents"
+msgstr "Содержание"
+
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
 
 msgid "next page"
 msgstr "Следующая страница"
 
-msgid "Copyright"
-msgstr "авторское право"
-
-msgid "Search this book..."
-msgstr "Искать в этой книге ..."
-
-msgid "Print to PDF"
-msgstr "Распечатать в PDF"
+msgid "Source repository"
+msgstr "Исходный репозиторий"
 
 msgid "By"
 msgstr "По"
 
+msgid "By the"
+msgstr "Посредством"
+
 msgid "previous page"
 msgstr "Предыдущая страница"
-
-msgid "Search the docs ..."
-msgstr "Искать в документах ..."
-
-msgid "Download notebook file"
-msgstr "Скачать файл записной книжки"
-
-msgid "suggest edit"
-msgstr "предложить редактировать"
diff --git a/dev/_static/locales/sk/LC_MESSAGES/booktheme.mo b/dev/_static/locales/sk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a
GIT binary patch
literal 1393
zcmZ9KKWrRD6vijSKyrit=ARHoJeoj?1A-``v#uc6mLesxmAg<-Am(<TcgMFkvznPb
ze6A@dKxv?X>Iw==v><d6Y1T&cP*KoALq~(s@V(n5b~3uz-_7jo_kHi}{;|69mBM%t
za}D!1%vUi#KZ6U#xkr@3Po2l*G4KL-4ty3o53YePfS17Mz&^MN-U2Uz3_b<MmY;&6
z^CkEs_zidgJOrNse`xtjyZ?K;{u30xf58rT_H6U~MNrmjpy<2~{s_JciqGFI{{bJx
z`X2Z+cxDAPfUDpu;3e>7a08THd<;rm`=IpY4k&eh2g>u`gW~ryD0Tk|O5J~fa_(Nc
zzXDUK|0PiBy9|o{Iw-jZpgi{xC@mLFS&OFRlMGV#=>h3w2I;R1(UBqg;w6239ut!4
z2~6=jJ)|#^@o`MFWBGp7wHbaCb5`#=8`;KyKjqAuERSl#ePRozQ?f4d$hk4?nu1TZ
zgR6YP4{gTW1S)mLYBMzv(*G~Fs-g&qXSOtPDXSYgM5@YEM^4FEtSg)3YP-Y%ZOMdC
zvD)#*Ld4O|#+Dj1ex6GgOmu#x24!ySK3$V+!<;9qmRA}zH4R;s6--u7O{SxPiRJy+
zq;ulan3SHU##L?XQ}Ut8GDb>9C5YnoIEmfsY4-#60ct&J{JY}cT{?GeUcb3{a{tPk
zZ+F_pc89Z)dlV7it+LR@u2Yh0A2{}J54XBkPtJL5!!G;orcGRGY}TWzBNIC}w9P8?
zwMSvx*(oZoi|&^5lh7kuE|;PI&N?-J`)^o!txs1juXogY6?)ZEJ1#xCtJU@>=)Bnr
z<NA<FU(csn4WiMxHIXS8I&jBxRQ%vxiu&EO{)s}p7&-so-B>U1l0t--9arjh>CyA!
zZ|R}^TYP-iOeo=k_sEUBK5*0V4ADZtsjcUv$Fb6dIjHA}(Ucy4hGb<GBDB<YoH~zy
zrFWyEKAfmwp^v_xwD~wbZ1Wvby(k=P!q}-Hj%gZOlh0_di(cw>%cXdqT-thpkjw8w
z94mEnM;EAFODWoF<;0UM`ZS%T+8S2)Skfe~=jnmos~5@rll9m4U7_dmM!H@|Co1(H
Di}h+h

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/sk/LC_MESSAGES/booktheme.po b/dev/_static/locales/sk/LC_MESSAGES/booktheme.po
index 3e6fd9fac..25517aa5a 100644
--- a/dev/_static/locales/sk/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: sk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "Úložisko"
-
-msgid "open issue"
-msgstr "otvorené vydanie"
-
-msgid "Contents"
-msgstr "Obsah"
-
-msgid "Fullscreen mode"
-msgstr "Režim celej obrazovky"
-
-msgid "Download this page"
-msgstr "Stiahnite si túto stránku"
-
 msgid "Download source file"
 msgstr "Stiahnite si zdrojový súbor"
 
-msgid "Launch"
-msgstr "Spustiť"
-
-msgid "Edit this page"
-msgstr "Upraviť túto stránku"
+msgid "suggest edit"
+msgstr "navrhnúť úpravu"
 
 msgid "Toggle navigation"
 msgstr "Prepnúť navigáciu"
 
+msgid "open issue"
+msgstr "otvorené vydanie"
+
+msgid "Download notebook file"
+msgstr "Stiahnite si zošit"
+
+msgid "repository"
+msgstr "Úložisko"
+
 msgid "Theme by the"
 msgstr "Téma od"
 
-msgid "Source repository"
-msgstr "Zdrojové úložisko"
+msgid "Print to PDF"
+msgstr "Tlač do PDF"
+
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
+
+msgid "Copyright"
+msgstr "Autorské práva"
 
 msgid "Last updated on"
 msgstr "Posledná aktualizácia dňa"
 
-msgid "By the"
-msgstr "Podľa"
+msgid "Launch"
+msgstr "Spustiť"
+
+msgid "Open an issue"
+msgstr "Otvorte problém"
+
+msgid "Fullscreen mode"
+msgstr "Režim celej obrazovky"
 
 msgid "Sphinx Book Theme"
 msgstr "Téma knihy Sfinga"
 
-msgid "Open an issue"
-msgstr "Otvorte problém"
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
 
 msgid "next page"
 msgstr "ďalšia strana"
 
-msgid "Copyright"
-msgstr "Autorské práva"
-
-msgid "Search this book..."
-msgstr "Hľadať v tejto knihe ..."
-
-msgid "Print to PDF"
-msgstr "Tlač do PDF"
+msgid "Source repository"
+msgstr "Zdrojové úložisko"
 
 msgid "By"
 msgstr "Autor:"
 
+msgid "By the"
+msgstr "Podľa"
+
 msgid "previous page"
 msgstr "predchádzajúca strana"
-
-msgid "Search the docs ..."
-msgstr "Hľadať v dokumentoch ..."
-
-msgid "Download notebook file"
-msgstr "Stiahnite si zošit"
-
-msgid "suggest edit"
-msgstr "navrhnúť úpravu"
diff --git a/dev/_static/locales/sl/LC_MESSAGES/booktheme.mo b/dev/_static/locales/sl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..87bf26de683cb18c73bd23c2b4c57ef6a02545ec
GIT binary patch
literal 1374
zcmZ9KyKfXR5XQ}$9PjWFC=#aOAvj*5h%UN<M}i_=5d;c4-|evHTgP76-Xpn+f)YAt
zpt_P83DF`Ei9Y}u3R-BW5Ct9I>@MVlwf1j4YtMW$vtK7Sz7QA(F{dy;VIIMJx(*A*
z*7ZW*5ffN8gWJKa;9hV7oB|Jk$H0AH8=M61fIC3~cY(3y6OjEp2X}z4!0q5`a1Z#l
z=EvIprQUx7Io@xu0dCk(-QNlFehOqi$H8~tMQ{`NqvlU=3--Uk-Qc>7LL34o!NcHb
zkab@J`TGNq^T|Ly_ZVc|FG1Eh0$KkXa4+~C<olmN*73cz{{lJx35el)hd|z+0{Q+7
z$Z_UDE;-+2KWt;aTwBh2e86R?k?YHY^XI|-**E*$j|rDz8z%R5d~hDzL#_wPQTA6{
zUcn<{kHi&cBiR`6lCOB3_M*7z9$Dj5BCU(maW0b&wV^e0aE0&Ef5zC;LFOtYF`MWJ
z*MGNjg)yP)iL6|535gpjL|NpCij+uau`g`5CvN9Bpsds(6eJeBws7L)!qqu(w~FT}
zcR@$zSH#`Cr|q)5%-R-vv_zs@Wv9w%(WR*&Y1KfdDry9=v>YpSj^k88a!&*8idy!V
z`%t7QK_wv*NO67Y#^!v|yiY#BTT52)n;gGcMsD1kzd5`1{rs78jk>VS#g&{|GD5)F
z+$e2lWVfe$pxC~*IM<wBJLi=R56L%YZPz8*rY$+$(Xnwu*|b1iTQZo&f+@T*%{k|n
zLQC4b+=ljr8CkuyPgr@hEzh5vX^2Y$)T&<Z2kL06gkoFBNah~J>2jgT5~@lP4MDpz
zCx-(XW@_w<9uAzh?%#>APv}sH5H9X{E*5diD#H~rZm5EBHe?#D`0z|yaZ3$VV*3d1
zf=gV-^ojji64%jM<HYSG_v~hM6ww=#Ib4Z4SS<(TuP|Rr37JueULAdShSt-Pl9}!6
zl<LM*rZU%lnMh__&La4K=;}Uu4ThjZ)oLB$Lizw@Ssf`T<Q)5}qwy0)rOMPX@#`eK
L??Y>WljW5^x#&@4

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/sl/LC_MESSAGES/booktheme.po b/dev/_static/locales/sl/LC_MESSAGES/booktheme.po
index dd99bbe42..346c36484 100644
--- a/dev/_static/locales/sl/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: sl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "odlagališče"
-
-msgid "open issue"
-msgstr "odprto vprašanje"
-
-msgid "Contents"
-msgstr "Vsebina"
-
-msgid "Fullscreen mode"
-msgstr "Celozaslonski način"
-
-msgid "Download this page"
-msgstr "Prenesite to stran"
-
 msgid "Download source file"
 msgstr "Prenesite izvorno datoteko"
 
-msgid "Launch"
-msgstr "Kosilo"
-
-msgid "Edit this page"
-msgstr "Uredite to stran"
+msgid "suggest edit"
+msgstr "predlagajte urejanje"
 
 msgid "Toggle navigation"
 msgstr "Preklopi navigacijo"
 
+msgid "open issue"
+msgstr "odprto vprašanje"
+
+msgid "Download notebook file"
+msgstr "Prenesite datoteko zvezka"
+
+msgid "repository"
+msgstr "odlagališče"
+
 msgid "Theme by the"
 msgstr "Tema avtorja"
 
-msgid "Source repository"
-msgstr "Izvorno skladišče"
+msgid "Print to PDF"
+msgstr "Natisni v PDF"
+
+msgid "Download this page"
+msgstr "Prenesite to stran"
+
+msgid "Copyright"
+msgstr "avtorske pravice"
 
 msgid "Last updated on"
 msgstr "Nazadnje posodobljeno dne"
 
-msgid "By the"
-msgstr "Avtor"
+msgid "Launch"
+msgstr "Kosilo"
+
+msgid "Open an issue"
+msgstr "Odprite številko"
+
+msgid "Fullscreen mode"
+msgstr "Celozaslonski način"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema knjige Sphinx"
 
-msgid "Open an issue"
-msgstr "Odprite številko"
+msgid "Contents"
+msgstr "Vsebina"
+
+msgid "Edit this page"
+msgstr "Uredite to stran"
 
 msgid "next page"
 msgstr "Naslednja stran"
 
-msgid "Copyright"
-msgstr "avtorske pravice"
-
-msgid "Search this book..."
-msgstr "Poiščite to knjigo ..."
-
-msgid "Print to PDF"
-msgstr "Natisni v PDF"
+msgid "Source repository"
+msgstr "Izvorno skladišče"
 
 msgid "By"
 msgstr "Avtor"
 
+msgid "By the"
+msgstr "Avtor"
+
 msgid "previous page"
 msgstr "Prejšnja stran"
-
-msgid "Search the docs ..."
-msgstr "Poiščite dokumente ..."
-
-msgid "Download notebook file"
-msgstr "Prenesite datoteko zvezka"
-
-msgid "suggest edit"
-msgstr "predlagajte urejanje"
diff --git a/dev/_static/locales/sr/LC_MESSAGES/booktheme.mo b/dev/_static/locales/sr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ec740f4852f3973fa72ed0c7f7cf59273b8dba41
GIT binary patch
literal 1679
zcmZ{i&2Jk;7>5TMpf#n12FigTrXZCM$qB70R5|j2(nPA%iiifpt=iZVd#SU#+K<xQ
z^1;`E141ndt<)0W!p%)>*9wix4UV%CCk|YD;tzleJn!xzyAg~$`^-$<dEejfo&0`i
z?5bis%bZ~T%6x(O`9pjddmmPcpW4UgQMe!Oh2wA^oPdYnQTQ~h!b9*KcmNuB5XJ>R
zf|BP7d;(sF`{57pDcCFcOL6{NvA++c-k-1p_w32<AAqu-fRg8B*oP;e<og4T!M~yC
z8DsMt9EWefDL4ri;cM_JJPLn;FT(rqC0KeS_caNhXa6P?zZc*U7()%eg5viMJPv<`
zQtvM)_YPxT@|}Rvr}vBfMJO#74{|QK$C=Vw@jW__q@HAo9~t6bhWM4*(${C0lvIy1
z<!wg?rLs4C4APeDebuRDemZU%^_K6&#)~5s!E)#}nz1_Vf9SP*r>;FeHVeLgQ7^hJ
zGdzy`B&?ZThjG)5bl^0MnyI@nssG*1CaqRf3ytygl3zFKtP{mL3F=O4>e~0%Ctj_o
z-VO+GJncqNV$@vddL;4n-04|$KCc&=z>nP650};Xpy_&-^(oOd-!w}`WnaCJdz$wf
zjh4}#bIENuu}cxpT#j>fzSPN!1fjX)`bi;sBz=@L8U~dHCrI%>FtxaRre1!}gb~>)
zI<H@r`sJ*0>D-xfGsC|hn|!@gG`2jy9GHrZ5ik|B9M_xHwWbqBCa%6aKU+RIj0+tv
zS~OvK#;f^t*K1Vt$ptqqoproMLSHL73QKdXBy?KkSwCEgD%uOOZB#uzt@CB|6;B_j
z>SM1?mz2F>J33uW*U}Z+wmY_)ohZA>uESZ+w$lw|zev~9H9JUG(p9@{2io4t;<xNT
z*_$l8>AJmR@7g|5U2Qwul5jS5J6+fI7K<O5JxcV`Po&HP*R<_(pLFEfkqf&r><Z7T
z4D1%6BjU-Nt}FYU2qHrv=KsRJ$@KK?T`hu;H?X%gi*2q;E7}xA&}t^UlU@^JZQG+0
zE2Jhyj+DJF!9<N5-9TUNrH~-z#8Gx(gW!9FuWB)R(_XRPE4wkYPkSYT3f-)upNU&#
zzs<I7jlOGi>$b?*B<y20J9e7@mU4shTeeRdi2NG0pW42jqQN8`9*93QN}e|M`{{;s
zZZr4FbK+{Wv-Cn<GdI=cGXDY(n95&s4G9CBl6>^Gym(vvm#N%kCu@EWomq3c>6awm
HD*E*gL}ZXP

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/sr/LC_MESSAGES/booktheme.po b/dev/_static/locales/sr/LC_MESSAGES/booktheme.po
index 12284e016..b1a97adac 100644
--- a/dev/_static/locales/sr/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: sr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "спремиште"
-
-msgid "open issue"
-msgstr "отворено издање"
-
-msgid "Contents"
-msgstr "Садржај"
-
-msgid "Fullscreen mode"
-msgstr "Режим целог екрана"
-
-msgid "Download this page"
-msgstr "Преузмите ову страницу"
-
 msgid "Download source file"
 msgstr "Преузми изворну датотеку"
 
-msgid "Launch"
-msgstr "Лансирање"
-
-msgid "Edit this page"
-msgstr "Уредите ову страницу"
+msgid "suggest edit"
+msgstr "предложи уређивање"
 
 msgid "Toggle navigation"
 msgstr "Укључи / искључи навигацију"
 
+msgid "open issue"
+msgstr "отворено издање"
+
+msgid "Download notebook file"
+msgstr "Преузмите датотеку бележнице"
+
+msgid "repository"
+msgstr "спремиште"
+
 msgid "Theme by the"
 msgstr "Тхеме би"
 
-msgid "Source repository"
-msgstr "Изворно спремиште"
+msgid "Print to PDF"
+msgstr "Испис у ПДФ"
+
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
+
+msgid "Copyright"
+msgstr "Ауторско право"
 
 msgid "Last updated on"
 msgstr "Последње ажурирање"
 
-msgid "By the"
-msgstr "Од"
+msgid "Launch"
+msgstr "Лансирање"
+
+msgid "Open an issue"
+msgstr "Отворите издање"
+
+msgid "Fullscreen mode"
+msgstr "Режим целог екрана"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема књиге Спхинк"
 
-msgid "Open an issue"
-msgstr "Отворите издање"
+msgid "Contents"
+msgstr "Садржај"
+
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
 
 msgid "next page"
 msgstr "Следећа страна"
 
-msgid "Copyright"
-msgstr "Ауторско право"
-
-msgid "Search this book..."
-msgstr "Претражите ову књигу ..."
-
-msgid "Print to PDF"
-msgstr "Испис у ПДФ"
+msgid "Source repository"
+msgstr "Изворно спремиште"
 
 msgid "By"
 msgstr "Од стране"
 
+msgid "By the"
+msgstr "Од"
+
 msgid "previous page"
 msgstr "Претходна страница"
-
-msgid "Search the docs ..."
-msgstr "Претражите документе ..."
-
-msgid "Download notebook file"
-msgstr "Преузмите датотеку бележнице"
-
-msgid "suggest edit"
-msgstr "предложи уређивање"
diff --git a/dev/_static/locales/sv/LC_MESSAGES/booktheme.mo b/dev/_static/locales/sv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b07dc76ff21128244172d2e415cc899555d8b49d
GIT binary patch
literal 1365
zcmZ9Ky>App7{<o|0$jil2qc9iCW-<{u?e6=vd+394z^?gih~dO@$Ku~$<57-W@ayT
z>XZ}|d=zQVMY>d0>TJUwK!GS|siLHd(&c$~H~3(*Gryg$_j%@>d3o;WBZ2ZE>JsWR
z)Jv%M7to-bct;3);v|}P!BgM~@H}`DTmmnGm%$If0eB9)11^FDo&i(GpFxiE5Ihb3
z0-geY1>Xk`IzH{jUv&LfAnW}L_P`@Y+Wm_l_m@D9a|Qez{0hWU@h8Z7e}laLACT8A
z9Bq9sg6#KG@FQ>;<Xn6Yo&_~{0sIN%I1fNx_XK3WzjgC}fPCKP;BoL(H~$y-9{LN%
z+Bl~{-uDT}KE4K7e--4E^BDIzm*-JAx9oeqAY|i>^|<i)xo}+0HRqK*BV?n^=b0~j
z4!%S7iF7o1603XoWGYE~>ue&MB7Xc{&_$WV4fmrpPUX_NMBC1d<&HLVI2>ISM)cNT
zDs_}z6(rVjoe=u}?s{cR90ejPCoU&(OT{EBpQ}W<bQb-}j!N;J#{y-gj<F)K8MH+Z
zCpT}bi>+2Kkatlh7xu)KFSXs3tL$x9(u73Q%I)?{Lst}rq*YU0sH7ocX*ad*9P6|q
zKG0OVs<S;8K2}9Ra7j1`thgU&l(LOHyGJ1+T3@#M8S7__a_{!W?X|=CYhPULb&1V}
zd!G6-!N8Z^C~a5ds8k_R8r&VOXUm7{g0gXkLbhf{F4wl`%jIpIdbgA<D&(~<<FvPF
zs-R4^?!qMYrS(lW4z91r_IL1^l^+k}wa-_2;+rWxnUfV8)>2vT8zb&|U%F`w^(-Z1
zKF^i36kcC+hKrsX9@jHt-W)<WS=O^4qt2BTcaWljf?}EZ@#fO89X3rp!=u<D+unO~
z@d1yEjn$96x2l6g2p`<Gp-E8QyO6}zIOwUY@Dj8!&0Dz1mc}lRudhp2lf(BgPBc+s
zh(@ZZxL4114Nl1KfbgOUVe45;sxdF>0~UW<a;H8BRMh)qb86SUq0~&{O#8B)*}RGQ
EA0pCHFaQ7m

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/sv/LC_MESSAGES/booktheme.po b/dev/_static/locales/sv/LC_MESSAGES/booktheme.po
index 203c91734..8fc0146e6 100644
--- a/dev/_static/locales/sv/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: sv\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "förvar"
-
-msgid "open issue"
-msgstr "öppet problem"
-
-msgid "Contents"
-msgstr "Innehåll"
-
-msgid "Fullscreen mode"
-msgstr "Fullskärmsläge"
-
-msgid "Download this page"
-msgstr "Ladda ner den här sidan"
-
 msgid "Download source file"
 msgstr "Ladda ner källfil"
 
-msgid "Launch"
-msgstr "Lansera"
-
-msgid "Edit this page"
-msgstr "Redigera den här sidan"
+msgid "suggest edit"
+msgstr "föreslå ändring"
 
 msgid "Toggle navigation"
 msgstr "Växla navigering"
 
+msgid "open issue"
+msgstr "öppna problemrapport"
+
+msgid "Download notebook file"
+msgstr "Ladda ner notebook-fil"
+
+msgid "repository"
+msgstr "repositorium"
+
 msgid "Theme by the"
 msgstr "Tema av"
 
-msgid "Source repository"
-msgstr "Källförvar"
+msgid "Print to PDF"
+msgstr "Skriv ut till PDF"
+
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
+
+msgid "Copyright"
+msgstr "Upphovsrätt"
 
 msgid "Last updated on"
 msgstr "Senast uppdaterad den"
 
-msgid "By the"
-msgstr "Vid"
+msgid "Launch"
+msgstr "Öppna"
+
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
+
+msgid "Fullscreen mode"
+msgstr "Fullskärmsläge"
 
 msgid "Sphinx Book Theme"
-msgstr "Sphinx boktema"
+msgstr "Sphinx Boktema"
 
-msgid "Open an issue"
-msgstr "Öppna ett problem"
+msgid "Contents"
+msgstr "Innehåll"
+
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
 
 msgid "next page"
 msgstr "nästa sida"
 
-msgid "Copyright"
-msgstr "upphovsrätt"
-
-msgid "Search this book..."
-msgstr "Sök i den här boken ..."
-
-msgid "Print to PDF"
-msgstr "Skriv ut till PDF"
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
 
 msgid "By"
-msgstr "Förbi"
+msgstr "Av"
+
+msgid "By the"
+msgstr "Av den"
 
 msgid "previous page"
 msgstr "föregående sida"
-
-msgid "Search the docs ..."
-msgstr "Sök i dokumenten ..."
-
-msgid "Download notebook file"
-msgstr "Ladda ner anteckningsbokfilen"
-
-msgid "suggest edit"
-msgstr "föreslå redigering"
diff --git a/dev/_static/locales/ta/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ta/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..29f52e1f6f1ec96aceb0f883d8ccc82c23eb35c2
GIT binary patch
literal 1928
zcmbW0%ZnUE9LGzIuko2E;=xEoRN`S0qn9x23T7V=+2G=?qL54POr@uFQq^?#B-xX0
zK#htA4<qQoTyj`*=-sR?<lqZDdWqmc2uLG%@GtP<!OyR%r*{%mh{a5Qs;YmF@9$UD
zzwX&JQj7=rKf?cO{(Jc!zljIq3cMNq1aE^s!#m+s_z?UZitk@=58RFMz3_2(AAA;y
z-weD5z6kGzufg5W)I449zhAFEfs$t(w%`^N|8Jo9{|GO`U*Mzg<6A<$O}LNs_waT2
z8=QsD?F#EPxWxJ@d>J0RHRwJIJFG|WNq7Z50sn;0!@U&o7(5PV;9F4M{{RobKj41&
z@a;;?!xtbeX@>OX{(5y6M3y47A9wJS8l@l7I~meb8I-3U@UzelnM(bH_d|LjeI~u4
zB&Ck5^3z4%s2P{8W=Y&H)T}#g2QKPq>k6~t+?)DDGB7*axf^C(bKPdqPja0`u~Boq
zq#)vWxe(=r9;UshFg@+8T8M_W+gC58#_GuGB+rLNEoO<u$?3(}d9@VcXC`%dQn+kY
zEv5a$p3z4{%W~hGG|E5qN|3(n;&@=RjZP(TR3s#^=1dXPILQ-|q?tLDxM3|bAI7mk
znn5o4-5aJ`w2$`MubM0;L`R3DZAsep=~~B*9-G^Ff9Sx|tr=$vV~h6kYHB*VAnU<&
z5G8g>cl%M6n_~Kv<@xsE9lI>D`3aM?=WN&Y5*v5);gzIlEkrgR(mY~Bt;NAGiw5m^
zmz~Tz+NOS)Pd_uI!*qJT)%&LPp{J%=sw%gu@~f)+wA%QnDo0iMT~%)Q%}sWAT~-@s
zt8&XvWPPzJFL<kq-h<~_Rc`tnOwVDlUTu6>mFFj3kC<zTE-xCtb79VlCMH_Qf61E$
zIom!yktekLzfhucguM5>LZVZKXbJg6qObpgpYXhKc{dPQvXD4*l1`&-oR|ZVWnD5S
zLMPGk+4yL_MW)wWJ7GI+sWh)Cq}dE7ao%TGqX8uPK%$P%oUIVNaozG6uhIA~XTs-(
z77E8j3VKIkNhd=@QrBItuMs9x^kr3kK4HautE;{2cexG}GQN=#P4;o6q{&7}8xZ++
z<IeTD{wn{o3E`3Xu9rO-Q3}Un-3tg^D65i=U-H6uN&_h}6jmP@9!PGwSJx8GmcH>l
w$ZZQ&WaeX;?9mtGBq&}escqTfGyJc(*W8(47(T)#0?{xcP9tpFr||Or2L57y?*IS*

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ta/LC_MESSAGES/booktheme.po b/dev/_static/locales/ta/LC_MESSAGES/booktheme.po
index eefce8ad3..116d74331 100644
--- a/dev/_static/locales/ta/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: ta\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "திறந்த பிரச்சினை"
-
-msgid "Download this page"
-msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
-
 msgid "Download source file"
 msgstr "மூல கோப்பைப் பதிவிறக்குக"
 
-msgid "Launch"
-msgstr "தொடங்க"
-
-msgid "Edit this page"
-msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
+msgid "suggest edit"
+msgstr "திருத்த பரிந்துரைக்கவும்"
 
 msgid "Toggle navigation"
 msgstr "வழிசெலுத்தலை நிலைமாற்று"
 
+msgid "open issue"
+msgstr "திறந்த பிரச்சினை"
+
+msgid "Download notebook file"
+msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
+
 msgid "Theme by the"
 msgstr "வழங்கிய தீம்"
 
-msgid "Source repository"
-msgstr "மூல களஞ்சியம்"
+msgid "Print to PDF"
+msgstr "PDF இல் அச்சிடுக"
+
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
+
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
 
 msgid "Last updated on"
 msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
 
-msgid "By the"
-msgstr "மூலம்"
+msgid "Launch"
+msgstr "தொடங்க"
+
+msgid "Open an issue"
+msgstr "சிக்கலைத் திறக்கவும்"
 
 msgid "Sphinx Book Theme"
 msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
 
-msgid "Open an issue"
-msgstr "சிக்கலைத் திறக்கவும்"
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
 
 msgid "next page"
 msgstr "அடுத்த பக்கம்"
 
-msgid "Copyright"
-msgstr "பதிப்புரிமை"
-
-msgid "Search this book..."
-msgstr "இந்த புத்தகத்தைத் தேடுங்கள் ..."
-
-msgid "Print to PDF"
-msgstr "PDF இல் அச்சிடுக"
+msgid "Source repository"
+msgstr "மூல களஞ்சியம்"
 
 msgid "By"
 msgstr "வழங்கியவர்"
 
+msgid "By the"
+msgstr "மூலம்"
+
 msgid "previous page"
 msgstr "முந்தைய பக்கம்"
-
-msgid "Download notebook file"
-msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
-
-msgid "suggest edit"
-msgstr "திருத்த பரிந்துரைக்கவும்"
diff --git a/dev/_static/locales/te/LC_MESSAGES/booktheme.mo b/dev/_static/locales/te/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0a5f4b46adfda1551ae6791c3c3782525b61be04
GIT binary patch
literal 1806
zcmbu8?`s@I7{^DgzpiR+74e1QD2kPOYU&G1LO_}((2{DPsaEjK=5D&TdYxHz_mbva
zT2L$M3z1kXg(AcfwAS4~Neb5f0lujqQV?VieD5FN3qLcn=UrpK7cRH^*?DH3U*CQ1
zw_V$o1=qvek8yv`{W$mAxAEY*0dI#t!Motk@Lu>Ud<6aho$p_87u?C=2jJ6i2YeYi
zzX^ChJOuB9$KXz=YA)3F59{^k(B)Z$4Y&rK|263Re}o(GCUki}y(4f1KFWF>z6o!@
z*Wm7LLQKL1xEEf7ufjj!vvA~2A@;zx;Pdc3_zYZw?)**o1l&$Dhu|Lg6r6|7{snaU
zU4^f}Um%kFbGaHHtXJD1WeGz1>mHu2N2iC=&RtGZchR1B$iD?W+^g&V?%L)waXOPu
z(25ZI7x~Geqr`+s7qcYp6yktc&|MR?r8b3{Gv-}+Jn5=|IXAtmr8XIhPLj(sij|mb
zCj}Av%jqaDWG`(;g=$Nq#dOrut&Vs-Ra!<`CVAddVkS#8PDaigm=Z@q{7j`LPYRPQ
ziX&+!(I@48SIcZiolwF*<y<Iz*2HmFNgd56aa1HE(duLosxdB4NRno1J~6$z%)A%J
ziqaJ2lHa_eT1E3<yZMI7azc#CkhJNNHhsFr;e&@K2m2#0ywsR5x=^}k&Mu~ER2F1?
zG3`c)9+Rz3l;x@zKRP?r+&4IvMLIvOvgV|2nRcS%QMqp}DH_v}j(dpbVl-yDy)5cB
zr%ZMtAC)@w%Y1zAm<+GuyS03BT#h_9))2P5Xsb_bdBv7L*s|ogwQ1S!e{HKJcd9yL
z%M18%cGXrNg@r9I+3J)nm)VfE{KlVJ^U*nU3e%Ui`q+DrkPZB>xU=VM^?@zFv*l@L
zDz6jwvaMLG-4f{crQm*REN}g<aAyca^<+8kdsrn4ra?vjC(4G`5Am-14$ckt!2&Dt
zhV8THNM6!k@pYi<u-~Q7zYlOR2tn1z<-Ux6BFeX0CZdSTw%qWiQL>hN#a8coKPu>p
z%YTFt$m|qAXTDh&g5gT~hljsJ*ry=A+<9Nb1sA(o5-xGw{Z;?6OlS@gI#jemLQG%z
zrpf6>XY=H3-bW;Qrf>v2>%ZN4n4aM|U<|2-ZBn^mBghuhM0)Dv2+@ei()B(V2&(za
uuMrF7ToguSy%w`N&3+IHSt#2LVBfiP)B5iT;9Jx)h5&elIS4O(ZT|-CPABOA

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/te/LC_MESSAGES/booktheme.po b/dev/_static/locales/te/LC_MESSAGES/booktheme.po
index 0373b709e..635bdf962 100644
--- a/dev/_static/locales/te/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: te\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "ఓపెన్ ఇష్యూ"
-
-msgid "Download this page"
-msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
-
 msgid "Download source file"
 msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
 
-msgid "Launch"
-msgstr "ప్రారంభించండి"
-
-msgid "Edit this page"
-msgstr "ఈ పేజీని సవరించండి"
+msgid "suggest edit"
+msgstr "సవరించమని సూచించండి"
 
 msgid "Toggle navigation"
 msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
 
+msgid "open issue"
+msgstr "ఓపెన్ ఇష్యూ"
+
+msgid "Download notebook file"
+msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
+
 msgid "Theme by the"
 msgstr "ద్వారా థీమ్"
 
-msgid "Source repository"
-msgstr "మూల రిపోజిటరీ"
+msgid "Print to PDF"
+msgstr "PDF కి ముద్రించండి"
+
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
+
+msgid "Copyright"
+msgstr "కాపీరైట్"
 
 msgid "Last updated on"
 msgstr "చివరిగా నవీకరించబడింది"
 
-msgid "By the"
-msgstr "ద్వారా"
+msgid "Launch"
+msgstr "ప్రారంభించండి"
+
+msgid "Open an issue"
+msgstr "సమస్యను తెరవండి"
 
 msgid "Sphinx Book Theme"
 msgstr "సింహిక పుస్తక థీమ్"
 
-msgid "Open an issue"
-msgstr "సమస్యను తెరవండి"
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
 
 msgid "next page"
 msgstr "తరువాతి పేజీ"
 
-msgid "Copyright"
-msgstr "కాపీరైట్"
-
-msgid "Search this book..."
-msgstr "ఈ పుస్తకాన్ని శోధించండి ..."
-
-msgid "Print to PDF"
-msgstr "PDF కి ముద్రించండి"
+msgid "Source repository"
+msgstr "మూల రిపోజిటరీ"
 
 msgid "By"
 msgstr "ద్వారా"
 
+msgid "By the"
+msgstr "ద్వారా"
+
 msgid "previous page"
 msgstr "ముందు పేజి"
-
-msgid "Download notebook file"
-msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
-
-msgid "suggest edit"
-msgstr "సవరించమని సూచించండి"
diff --git a/dev/_static/locales/tg/LC_MESSAGES/booktheme.mo b/dev/_static/locales/tg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b21c6c6340194fdf35f7e5660deb42479c8dbff9
GIT binary patch
literal 1628
zcmaiyO^6gn6vxZY=tNE8S5Q|hA#9RE$8XSGCI@vF1jR*HLCB?drtIlBTh(+|t9#pZ
z_b^Dr#19Y@K@`-J?Yg?{x;qOwd8{6D@{o&%oP^*d<PgaJRk!RYqBT?Xt5+ZI{okwp
zbLGOT4DD<54)j0JH=+MB4+Gkg`HbPumSR{8E(4c<tH7mT2e=mO1XqJ)a3y#ITmcI3
z3s4sv1If=7a5;D#Tn63;zXG2Wd|s@-EbPBPiuW&A0v9aE@2>#K?f}Wpw_pnH1Q&v@
z3%&tK*FWF}u!PNBU}wRfz%8&Zfe!dP_zn0sxE@@yD9?K<NcGtRQeG#(b)XN@`B88c
zcn|CZr;GhpAjSQ!u-Bmoq<aUr5&RLPl2Z<(lWIwRsJ4`MdxIqQB|6oY8u_6{^&?GG
z*EQ$}#Xd);w{33-W#8~K5aqD%%k~c8&vi|(eM)K}b%aSU6#8CGv;FFftSh(5rP5+R
zsZ;!<Ul()Bk&45LcyCeH{D=pxCs<F_*KqyT?2YU7s1gbx`Jk!_cF>J9kAteKMU^WF
zJC>CiI~?GEE4d#<v0#0nFX2S-zWu%IXdW*Vfr@;s!Xb7vsQL0N-%Hy1Yhq9^JMw`%
zr+(#mb-|^3+V@=TBZw4db*@fPoIFSniqpP|3)yY%quBEVR0?DQDe7lY(awRYb6kWG
zymj$BzC-aH8@Y7oz@eVG{cS&NEfs}z`iBD1#We(M3F@vdyLqMNhLO<aWBt9(?zwZJ
zE2EPlbb4e(RekAo@!bQyE**5G7o)E5;g$O8ap=~aUKI{TU0ep%jLO@)c|I+FC;8?w
z-}ZfXiJ9L_vlwn<qh`iTm?RrEX=~CXtTmpEwysk*DL2#DPs}s?(rk>GJ20M-!R?)~
z>>S<1-6l7a<}oHySZKVs&CQhc{Mbyqb88w7X3RqzI{&F#*USvhMoiLrM6s>Hk4E|6
zc@o%qM9F2t?V4KSrinZf?58}t0JXzb84{b#Mr}$-{y{=+V#Xn)X(lNzTPtR6wl32O
zGdJL5Bs-5o<jz(Csb>xB+T`zIGRrAt`^lPLZT?M?g!0angPB{%GR5vxHp0oR8Arqi
zbZiRp&%w__8!lf*NbDpe;WA2%r?Xi$atSF8VXr;q_FB@_W_A(5kPfr&0p+;^8?eY=
pg1vVOUqyoB&tBYSn9xh&7BjPW`v%MukJU629MMs5Ow+8v{s(GpYQg{j

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/tg/LC_MESSAGES/booktheme.po b/dev/_static/locales/tg/LC_MESSAGES/booktheme.po
index 1807ae258..a92c069a4 100644
--- a/dev/_static/locales/tg/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: tg\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "анбор"
-
-msgid "open issue"
-msgstr "барориши кушод"
-
-msgid "Contents"
-msgstr "Мундариҷа"
-
-msgid "Fullscreen mode"
-msgstr "Ҳолати экрани пурра"
-
-msgid "Download this page"
-msgstr "Ин саҳифаро зеркашӣ кунед"
-
 msgid "Download source file"
 msgstr "Файли манбаъро зеркашӣ кунед"
 
-msgid "Launch"
-msgstr "Оғоз"
-
-msgid "Edit this page"
-msgstr "Ин саҳифаро таҳрир кунед"
+msgid "suggest edit"
+msgstr "пешниҳод вироиш"
 
 msgid "Toggle navigation"
 msgstr "Гузаришро иваз кунед"
 
+msgid "open issue"
+msgstr "барориши кушод"
+
+msgid "Download notebook file"
+msgstr "Файли дафтарро зеркашӣ кунед"
+
+msgid "repository"
+msgstr "анбор"
+
 msgid "Theme by the"
 msgstr "Мавзӯъи аз"
 
-msgid "Source repository"
-msgstr "Анбори манбаъ"
+msgid "Print to PDF"
+msgstr "Чоп ба PDF"
+
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
+
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
 
 msgid "Last updated on"
 msgstr "Last навсозӣ дар"
 
-msgid "By the"
-msgstr "Бо"
+msgid "Launch"
+msgstr "Оғоз"
+
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
+
+msgid "Fullscreen mode"
+msgstr "Ҳолати экрани пурра"
 
 msgid "Sphinx Book Theme"
 msgstr "Сфинкс Мавзӯи китоб"
 
-msgid "Open an issue"
-msgstr "Масъаларо кушоед"
+msgid "Contents"
+msgstr "Мундариҷа"
+
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
 
 msgid "next page"
 msgstr "саҳифаи оянда"
 
-msgid "Copyright"
-msgstr "Ҳуқуқи муаллиф"
-
-msgid "Search this book..."
-msgstr "Ин китобро ҷустуҷӯ кунед ..."
-
-msgid "Print to PDF"
-msgstr "Чоп ба PDF"
+msgid "Source repository"
+msgstr "Анбори манбаъ"
 
 msgid "By"
 msgstr "Бо"
 
+msgid "By the"
+msgstr "Бо"
+
 msgid "previous page"
 msgstr "саҳифаи қаблӣ"
-
-msgid "Search the docs ..."
-msgstr "Ҷустуҷӯи ҳуҷҷатҳо ..."
-
-msgid "Download notebook file"
-msgstr "Файли дафтарро зеркашӣ кунед"
-
-msgid "suggest edit"
-msgstr "пешниҳод вироиш"
diff --git a/dev/_static/locales/th/LC_MESSAGES/booktheme.mo b/dev/_static/locales/th/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..abede98aa11b163e580a26b545980ace31e61ccf
GIT binary patch
literal 1766
zcma)*-)|K~6vqcarB^@&)CU_K663GrYB9uM>wQ7mgal$EMW46#4trN`XEwWgD~&H;
zNI=2(Qi7!k28|(VOaz2Z{{sC3d@_d21Bp*Q8{hn#*{fZQQ8%6a%*>u2-*e9G?VVdL
zD4xey<E$T9PqNN$;>EM|9;NtGW4!Kz+u&BX3y#5Y_$YiD?uH$>6TSg=Km#9y)rhB|
z#94;h;VRq)zl0CNTO<B3y8mf({sl_D-(d@G-dy|dfN~y(66YD{;XWw#zmE7D6kVIP
zDD^np4X5D*d=)Oj33vlO1@FM;;n=-Oy#n_^iEp9!zXzpH7opg%LGk|?N}lZ$`7+c{
z?B5!(gnKxD3?G5l;1lqBC@q&9;xE12#gg7i9nA-6>LHf&S01Tf9_gR-TKX!nk)j@8
z$!wbssp1UphqNWmR~=a5Pgi}TUURlGwkp}=OGTFUD|OJlYX>grY3nL8@7z23cs4K_
z*QFa4UGulgs-KlQPg0|%ds#*3KaVrR!JzCG##p`JdPW^i%1RIOUQ(H!c9!$dcKhn}
z9D~H_tSpB{%@&y@h|{wNXVlR;Utw}rW|b?J)X}`3*%SJJXq)Ss1*76y&(}50xilRZ
zZIi_;O{$C})|{wnbx!isN%F!hW^Oo=-3VU})6}5SPzh4p+ooH!5B1t_nxZ7yq^|R~
zC4W0+ZXG#vWP0QK-WMiXqsF%9mU1(xD+Iil50cDI>25zMN>g=?&CRs;Z`c)yEsvX`
zJ#D+Lm)Ueu@1M`A*5SmaL;6aLert9xERsQc#uW?Yq_%lHmYtWTbiM67YxSOv-uv8C
zONI6KgI^B*v*yl!75w$!KM(#=@YjO>NCp2z@ZSZGG2hr+4E__@te@u_{+M44euZ<4
z_;qwx4(q3b|5Wzei|3W#eYCFwuf#yNf<N{Dqg)8<A4n$8yN+_{U!6T#(1kS`al6T$
zVo#A&Zbczg{j*X10nt=)GI&y-i8VB>&j$Yu0#;+cXcn64J%wUT=~$4O>SO5=h=^<P
z9#1*rKu?$NI>cLPeiV0|6qlnFzL#U0qn`*`iT?nxl@xb2Mx-{rpyeF$L|PmGL73Xj
zjT&US*r9DL+Oc6=XyNi4J`IP)4~3RpiSp}N5WkMWZ=`O(hjnrBo?i;ppCMASYj{fI
qV*6MBqwc03(drtRAFXAoSBd=B?a4S*sk|OB^ZqtY{YJQZ;_45RC*i9A

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/th/LC_MESSAGES/booktheme.po b/dev/_static/locales/th/LC_MESSAGES/booktheme.po
index a286febe5..25d9837f8 100644
--- a/dev/_static/locales/th/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: th\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "ที่เก็บ"
-
-msgid "open issue"
-msgstr "เปิดปัญหา"
-
-msgid "Contents"
-msgstr "สารบัญ"
-
-msgid "Fullscreen mode"
-msgstr "โหมดเต็มหน้าจอ"
-
-msgid "Download this page"
-msgstr "ดาวน์โหลดหน้านี้"
-
 msgid "Download source file"
 msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
 
-msgid "Launch"
-msgstr "เปิด"
-
-msgid "Edit this page"
-msgstr "แก้ไขหน้านี้"
+msgid "suggest edit"
+msgstr "แนะนำแก้ไข"
 
 msgid "Toggle navigation"
 msgstr "ไม่ต้องสลับช่องทาง"
 
+msgid "open issue"
+msgstr "เปิดปัญหา"
+
+msgid "Download notebook file"
+msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
+
+msgid "repository"
+msgstr "ที่เก็บ"
+
 msgid "Theme by the"
 msgstr "ธีมโดย"
 
-msgid "Source repository"
-msgstr "ที่เก็บซอร์ส"
+msgid "Print to PDF"
+msgstr "พิมพ์เป็น PDF"
+
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
+
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
 
 msgid "Last updated on"
 msgstr "ปรับปรุงล่าสุดเมื่อ"
 
-msgid "By the"
-msgstr "โดย"
+msgid "Launch"
+msgstr "เปิด"
+
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
+
+msgid "Fullscreen mode"
+msgstr "โหมดเต็มหน้าจอ"
 
 msgid "Sphinx Book Theme"
 msgstr "ธีมหนังสือสฟิงซ์"
 
-msgid "Open an issue"
-msgstr "เปิดปัญหา"
+msgid "Contents"
+msgstr "สารบัญ"
+
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
 
 msgid "next page"
 msgstr "หน้าต่อไป"
 
-msgid "Copyright"
-msgstr "ลิขสิทธิ์"
-
-msgid "Search this book..."
-msgstr "ค้นหาหนังสือเล่มนี้ ..."
-
-msgid "Print to PDF"
-msgstr "พิมพ์เป็น PDF"
+msgid "Source repository"
+msgstr "ที่เก็บซอร์ส"
 
 msgid "By"
 msgstr "โดย"
 
+msgid "By the"
+msgstr "โดย"
+
 msgid "previous page"
 msgstr "หน้าที่แล้ว"
-
-msgid "Search the docs ..."
-msgstr "ค้นหาเอกสาร ..."
-
-msgid "Download notebook file"
-msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
-
-msgid "suggest edit"
-msgstr "แนะนำแก้ไข"
diff --git a/dev/_static/locales/tl/LC_MESSAGES/booktheme.mo b/dev/_static/locales/tl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..8df1b73310e0c606251d1abff7e6033d1f6b273f
GIT binary patch
literal 1273
zcmZ{iJ#P~+7{?8ixA4}MHz7bWh@lJz6qYJggw!_(YD=U9)PcpxxsJ)jKAr8h8TbH<
zl>mt^fEW=h3@|dWP{DwN#01}fk%9knmnKyup2YV%`|Ricw;%r;A9>CYr_e5-eL%a2
z_Gk|th%ew?a0@&DeghAKKfp8KZ;;mh1;@cLOg;`?0Z)LpKw38o9s}=zN5K_v43vGY
z_s5_1`!7J!c@37pw;-+m2-5n`;Ct{ph(FuhSLAyJ(z;h52j75~!7cDS_y;@-j*b-m
zC%}W~-v&p)J0SUA0Z)SpJPAGlY2GGy4txoc|92qy`UKMYuOOYrFAzsE2s#`3PH_Yc
zHrRgZAP%9?9w{GbQ&0{H+8gOp(7q^W|Kx>&wCSAbj3LR`Ob>tV+mg-Nw3lhs_H53s
zo5YHk8|!7$+74gUi5w0)8?u(%HR#*g@l+_u=40)Val5-HoaZ5pg_kk6hAoO<T5Wbe
zm4*w$wR1tTTBZ#aSzeo4VD%z@CR6LQw^@(X)3!Dne1^O<+OjKI{^ZTVdc!J}NN&WM
zR>EtD7`fpKH<ok?ku;NQ+J?SO7nG8)CSe!)_OWdFs2WEPW#*8g%nQ+oM5A1;v{YT1
zAAX;_cB3?FjhDtpjb19t+(Y$xnh0&Cd8;ilCw=8XV<DOv&dY>xt1^q`P0PmGs4|~w
zYF}CuMg<%mawMf%5;BoQ3pVSzGB;`7b(Ndbym+ll7=Ee3C$CPI*s^AIft_~oQ`+M|
zjoMMlC845tP)?QC3^N9mW&fLyY9mxPB*L)jFaumd3$>sZlm_4E_)y1P<99=X&7mSu
zQF#bj7^^11I1!U-GjxO_E86t}@}&6<a3a3}wSjs*quUf67-`6^p#F~AuswzZzPJR1
s6&3X_gJkvKg0Z;FbWCKO^`%82y^P$M818`St~Q|?jOt)I*ZB_FKRsDD>i_@%

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/tl/LC_MESSAGES/booktheme.po b/dev/_static/locales/tl/LC_MESSAGES/booktheme.po
index 2e0943943..7e28b05fa 100644
--- a/dev/_static/locales/tl/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: tl\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "bukas na isyu"
-
-msgid "Download this page"
-msgstr "I-download ang pahinang ito"
-
 msgid "Download source file"
 msgstr "Mag-download ng file ng pinagmulan"
 
-msgid "Launch"
-msgstr "Ilunsad"
-
-msgid "Edit this page"
-msgstr "I-edit ang pahinang ito"
+msgid "suggest edit"
+msgstr "iminumungkahi i-edit"
 
 msgid "Toggle navigation"
 msgstr "I-toggle ang pag-navigate"
 
+msgid "open issue"
+msgstr "bukas na isyu"
+
+msgid "Download notebook file"
+msgstr "Mag-download ng file ng notebook"
+
 msgid "Theme by the"
 msgstr "Tema ng"
 
-msgid "Source repository"
-msgstr "Pinagmulan ng imbakan"
+msgid "Print to PDF"
+msgstr "I-print sa PDF"
+
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
+
+msgid "Copyright"
+msgstr "Copyright"
 
 msgid "Last updated on"
 msgstr "Huling na-update noong"
 
-msgid "By the"
-msgstr "Sa pamamagitan ng"
+msgid "Launch"
+msgstr "Ilunsad"
+
+msgid "Open an issue"
+msgstr "Magbukas ng isyu"
 
 msgid "Sphinx Book Theme"
 msgstr "Tema ng Sphinx Book"
 
-msgid "Open an issue"
-msgstr "Magbukas ng isyu"
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
 
 msgid "next page"
 msgstr "Susunod na pahina"
 
-msgid "Copyright"
-msgstr "Copyright"
-
-msgid "Search this book..."
-msgstr "Maghanap sa librong ito ..."
-
-msgid "Print to PDF"
-msgstr "I-print sa PDF"
+msgid "Source repository"
+msgstr "Pinagmulan ng imbakan"
 
 msgid "By"
 msgstr "Ni"
 
+msgid "By the"
+msgstr "Sa pamamagitan ng"
+
 msgid "previous page"
 msgstr "Nakaraang pahina"
-
-msgid "Download notebook file"
-msgstr "Mag-download ng file ng notebook"
-
-msgid "suggest edit"
-msgstr "iminumungkahi i-edit"
diff --git a/dev/_static/locales/tr/LC_MESSAGES/booktheme.mo b/dev/_static/locales/tr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..029ae18afb5360a8c238a052e8d3971761759d3d
GIT binary patch
literal 1373
zcmZ{izi%8x6vqdWKynFz!~~?sQXUOIiX{o62)3@sVLOWA2n!$d<J)(;liizH&CG_Z
zMVT%slPZNJnur1kHxWf7in~bEh>C&=i7J19yL{j6T0W2%?d)gY?96-L@67yl{`g~s
z_CESD`XA_*&>y~r7uw0!mBOP=;q?Z120RHafv3P_@ICND@LjMEo(I1M&w>oT4aSc5
zLCNz7d<%R6o&kRZ&w<Z6{??8E*~R~WQttrlfya)u>(7D`FN2cjBk&jSbMQ3yvf}|L
z^-dgb=PiL35fdohSHUH48x$WIDEhw##oq%^>ihtT&YwW>`D+*d4$8W}!FRxeF7BOZ
z>s|syPtwI-fS96gfHHp*lr0wzl2>wx9;q$97n`h;HKI?N=#nP7WUs~N1$3mG*A#z?
zP4-{T@J)1V%lv%Rpus~iXZ5ACk!=k4s2XpwJgPPKoh_YC$-2lp&J{E^B_9n3SNjqF
zXE5d_P^B|g>#2!IeHd=kWf?}E+0w+NtTuIsR9C5voRYJMYdgx-R~05`OD2Sx)s{CF
zNgQphZK&<Gp6AL16P<6=c9k1@j|QS`nDd0y{7pNpr=iQTlF913CezWNh~;~+Rp+Em
zTcq-Q*SNZqy^ucCS;kPwZ~`gr4v%7TGflo_ACPT@+WLvqPv(_-w{PBFKl*?5(<{Ah
zW0PT1@d`x<xLlRm*i{<k+6RvPZ-yJmwWE1n+c0LItlN=Gjm=i*+K!36O>MIp`-&XC
zw^i0&m&u0nldwXznunqP*($Z4{f{ku(5I`PtoGDUdp(}*+f>_seb0WLJ~cMw0*C6=
zkV`YBTo=V`U#;;tvZvIAMh7gN?Gt7i9EQ538>@@<SF<oas43`Xtp9H;oj%`Xi|aGg
z6XF6U<r>sDR7=_PxgBv?;s7aXZ*rps`o&(U<3tx~U_1rqYg?0^K7|^E%RsJ#t%4f8
zo6h$Ap{&BCl*;`;;xXGI&@B^nMMIv5kwyPFiiuV?c-PnoHwMdQd*;PnG+qT~k=xL=
f7*f}zXhDUuwVFPIQ2d!&RZ>YE8iRKH#ZJBgJpfrQ

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/tr/LC_MESSAGES/booktheme.po b/dev/_static/locales/tr/LC_MESSAGES/booktheme.po
index fe21499ce..54d6f5836 100644
--- a/dev/_static/locales/tr/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: tr\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "depo"
-
-msgid "open issue"
-msgstr "Açık konu"
-
-msgid "Contents"
-msgstr "İçindekiler"
-
-msgid "Fullscreen mode"
-msgstr "Tam ekran modu"
-
-msgid "Download this page"
-msgstr "Bu sayfayı indirin"
-
 msgid "Download source file"
 msgstr "Kaynak dosyayı indirin"
 
-msgid "Launch"
-msgstr "Başlatmak"
-
-msgid "Edit this page"
-msgstr "Bu sayfayı düzenle"
+msgid "suggest edit"
+msgstr "düzenleme öner"
 
 msgid "Toggle navigation"
 msgstr "Gezinmeyi değiştir"
 
+msgid "open issue"
+msgstr "Açık konu"
+
+msgid "Download notebook file"
+msgstr "Defter dosyasını indirin"
+
+msgid "repository"
+msgstr "depo"
+
 msgid "Theme by the"
 msgstr "Tarafından tema"
 
-msgid "Source repository"
-msgstr "Kaynak kod deposu"
+msgid "Print to PDF"
+msgstr "PDF olarak yazdır"
+
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
+
+msgid "Copyright"
+msgstr "Telif hakkı"
 
 msgid "Last updated on"
 msgstr "Son güncelleme tarihi"
 
-msgid "By the"
-msgstr "Tarafından"
+msgid "Launch"
+msgstr "Başlatmak"
+
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
+
+msgid "Fullscreen mode"
+msgstr "Tam ekran modu"
 
 msgid "Sphinx Book Theme"
 msgstr "Sfenks Kitap Teması"
 
-msgid "Open an issue"
-msgstr "Bir sorunu açın"
+msgid "Contents"
+msgstr "İçindekiler"
+
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
 
 msgid "next page"
 msgstr "sonraki Sayfa"
 
-msgid "Copyright"
-msgstr "Telif hakkı"
-
-msgid "Search this book..."
-msgstr "Bu kitabı ara ..."
-
-msgid "Print to PDF"
-msgstr "PDF olarak yazdır"
+msgid "Source repository"
+msgstr "Kaynak kod deposu"
 
 msgid "By"
 msgstr "Tarafından"
 
+msgid "By the"
+msgstr "Tarafından"
+
 msgid "previous page"
 msgstr "önceki sayfa"
-
-msgid "Search the docs ..."
-msgstr "Belgelerde ara ..."
-
-msgid "Download notebook file"
-msgstr "Defter dosyasını indirin"
-
-msgid "suggest edit"
-msgstr "düzenleme öner"
diff --git a/dev/_static/locales/uk/LC_MESSAGES/booktheme.mo b/dev/_static/locales/uk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..16ab78909cfbaba7fa199f47fdfc2934426ac699
GIT binary patch
literal 1681
zcmZvaO>7%Q6vv0QKx#^WmXAw-X;52=<n%)vDo4JQCQ_wVL}|)>V^7yhotb5Kwlue-
zPJ@uD1fdWPh|e20*TKPc;zZ)a@r}d@A+B8DUJjM|f4dvvq>McK+j;xuef*#QJbLI0
zf%O{p5cY4_Z(`qj3J<J-147^@4&(6*cmx~(kAa85A@Ei3B=|B|29JW1;2@~L7eJeH
z0pvI<;Pc>D;1Tdg@Fj3P=dZc__x$`9$oc*S3*f<n+5JI~&qE-`IR$pWcXRtc;31qJ
z=I2M?>o^a<I0Bvo&w|&%cfiG*_rVi5{{aqz2cFL2p8#2(^WYocB*^hT0@-gF<bGS=
zY48{DIQTcn_Xg4YTi^)D`b>gnKo4Zexd+ydwLFH++H&9h3nhscvH3nP?w=Ry$GKV8
zSFn*%JcrG*?O#Zh&hS|fa-{PW7iaO4wx+~;Mq8zAjF)gW3jCTCm(0hyZoI10#;R#!
zZps@$UG17<lSCD@&uD8wEJM#%Vyqfigx)!hC-r(<iImcE##EKK;>A`bVb!y$DvicD
z(UqEbKZJv)We~@S5))CN5yZ%eOXK2NmM>DFi34k*S#d3_1^TwU$hA$?)Ql48Q%+|+
zO&Q;>E2+I(f$!M>Nwm6cv+4}z$&!STx)qotFS{>%ocO*%l?t7p6!W2~*y81C@dFjb
zh*pwW{vziurkM*@FJB$o{eEubY#|r6I5iuplC&t`Oj!2<Jt`|TFN&2dU!NK;UfA`E
zJRRRqQE^OHOf}GcNnV%^Y~hNh{RFy}WOB1GQBNYTUK}^kOk9#WOpkH-{HV-c%WrFW
zye!Y19xVv^j9TsvZMiu?-_n+#FKN@Qx_Nh}?-P#qs7q~0+is4U)XE(BrAa+pZ_+xR
zZRr;9`hYeh-KP!O!kr#M<2%RQ<4zrzI}#B(?yg&<pWxY{2meKQ;zAaG(Je_Xjtj=E
z9(7$q(09~EfF`ZE2A7mZcK`2+9^rzjaHX3z)7!~B2h%!=*c9|lnghL|yA=s%zR*HT
z?bNhf%F5ez4L46+L7%4`a6I&oR?3Y*t^E56s%=nLx&}9h+G&%^bgSuKmsXIs4P%={
z<NofZ={oLHR_+Jb;Vx4(JG2JbhUt5^koP}7+~?BbLU@u{xGrtDCHKjW*gc*BJl2qW
z5mR0g^fg|gC#u^<Yt4P)a{4r6s#Q8N%xG_Ktmt;04^wo@PsZ5OQCrZ@sDuAWd=c9A
LPmM*`H%jps*u#;t

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/uk/LC_MESSAGES/booktheme.po b/dev/_static/locales/uk/LC_MESSAGES/booktheme.po
index ae8578694..6ecaec679 100644
--- a/dev/_static/locales/uk/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: uk\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "сховище"
-
-msgid "open issue"
-msgstr "відкритий випуск"
-
-msgid "Contents"
-msgstr "Зміст"
-
-msgid "Fullscreen mode"
-msgstr "Повноекранний режим"
-
-msgid "Download this page"
-msgstr "Завантажте цю сторінку"
-
 msgid "Download source file"
 msgstr "Завантажити вихідний файл"
 
-msgid "Launch"
-msgstr "Запуск"
-
-msgid "Edit this page"
-msgstr "Редагувати цю сторінку"
+msgid "suggest edit"
+msgstr "запропонувати редагувати"
 
 msgid "Toggle navigation"
 msgstr "Переключити навігацію"
 
+msgid "open issue"
+msgstr "відкритий випуск"
+
+msgid "Download notebook file"
+msgstr "Завантажте файл блокнота"
+
+msgid "repository"
+msgstr "сховище"
+
 msgid "Theme by the"
 msgstr "Тема від"
 
-msgid "Source repository"
-msgstr "Джерело сховища"
+msgid "Print to PDF"
+msgstr "Друк у форматі PDF"
+
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
+
+msgid "Copyright"
+msgstr "Авторське право"
 
 msgid "Last updated on"
 msgstr "Останнє оновлення:"
 
-msgid "By the"
-msgstr "По"
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
+
+msgid "Fullscreen mode"
+msgstr "Повноекранний режим"
 
 msgid "Sphinx Book Theme"
 msgstr "Тема книги \"Сфінкс\""
 
-msgid "Open an issue"
-msgstr "Відкрийте випуск"
+msgid "Contents"
+msgstr "Зміст"
+
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
 
 msgid "next page"
 msgstr "Наступна сторінка"
 
-msgid "Copyright"
-msgstr "Авторське право"
-
-msgid "Search this book..."
-msgstr "Шукати в цій книзі ..."
-
-msgid "Print to PDF"
-msgstr "Друк у форматі PDF"
+msgid "Source repository"
+msgstr "Джерело сховища"
 
 msgid "By"
 msgstr "Автор"
 
+msgid "By the"
+msgstr "По"
+
 msgid "previous page"
 msgstr "Попередня сторінка"
-
-msgid "Search the docs ..."
-msgstr "Шукати в документах ..."
-
-msgid "Download notebook file"
-msgstr "Завантажте файл блокнота"
-
-msgid "suggest edit"
-msgstr "запропонувати редагувати"
diff --git a/dev/_static/locales/ur/LC_MESSAGES/booktheme.mo b/dev/_static/locales/ur/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..de8c84b935ed5c3db23e304015d45b638a3d2db3
GIT binary patch
literal 1462
zcma)(&2Jk;7{&)0pqP)6LL-m>O`(TSv<;z`$dL~;A5u^%qBgBK^s=!h>rLI6)qdpT
zRwLUoA{Qc+BL{@CNd#$~fM}{TM=rgzQV%n0sfS7&;BP2WpLe~9L#0ZLy!)G(eLtS}
z@uTBCHyGACc;3gei{}G8S6;vi>pu7*_yBwvd<eb@w!uE|FOYJdfXBgJ1iuNM0*`@b
zLCPBe-vGY^UkASidqI(LA-n%JJO2PupEWQCZh@447o_}q;B8Q6=kJd&_8QJVf>d_{
zw7^~PH24qrDR`oXv3~FiknZO|ioXGV2*%(?;Gf{z;NRf8;J+FBUg~@w04eVRNO2|b
zJ#Z2H7+e8i$-yFT-pWp-6LJ_r(sdMXnvv>}ceKb;S{N^_PkZu%7R~=ky6bpCK9k3g
z$k@3h{CHRvY(#lWzU!1jHmVk6McE}TRVZeZy2@wWis)VkD)Nisnai;32Hdk9!Ny8%
zh>H8iNjnI6<dy7Dl(>>?(vD=Y%)au3<hJB)5JZAa`L0Bg;!~sJ>|&?BFFX~vq4Jm5
zMX&72MShO7Oqazq!O}OM=}4bej#Cj_+Vieshc22(u^4vLDC*N`;`w6URZ%80h#W^i
znt)vNS978mS`#JfvhV|x$n#E9i<(+#yWIJS^JCrbgJ(X=jVKuk8Cugzp2+hMT?f31
z?aE<ZEZcq{!osELacig>=i4%v6}~kli>l;GC(nmw+%Pw3ODBSPc^>(>sY>MA6>D7i
z*MdBkUV01)pAYlSw$Ly6$pRnzWH`t4n!cr5?Pa~wuCipkz0CC=x@BmuW3xx+mX7tR
z*<q$(nr4UVwPc-}YI<4YNfVo&O@o`7X(mmMG*nCOFuiS>NZtNFp)tbr@2L4}dj%B?
z$~?F1e_~CYdU3r0$=I6uq5ePVO_Bn=P}riFSZ}qf6oE57w5w3K+FoX+hEW?y<4|&p
zx|p)Aw=sGx%}Vw#el49X^(ARiaRizwH+vA!fH?=_BQ=JATO9Uo!rm6_g(Z9Fvrf~J
ziFzY}!KTjO`w9hS|3mkKY2Z8hBsWpwH*$FgF5fip{lMp#&N|*Vkp4MHrJJsNw1%8D
c^9?3>eEmE8GP@z_uy-`khW>?G>aA{%rxd0lq5uE@

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/ur/LC_MESSAGES/booktheme.po b/dev/_static/locales/ur/LC_MESSAGES/booktheme.po
index 4c4c637d4..818e03de7 100644
--- a/dev/_static/locales/ur/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -8,62 +8,59 @@ msgstr ""
 "Language: ur\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "open issue"
-msgstr "کھلا مسئلہ"
-
-msgid "Download this page"
-msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
-
 msgid "Download source file"
 msgstr "سورس فائل ڈاؤن لوڈ کریں"
 
-msgid "Launch"
-msgstr "لانچ کریں"
-
-msgid "Edit this page"
-msgstr "اس صفحے میں ترمیم کریں"
+msgid "suggest edit"
+msgstr "ترمیم کی تجویز کریں"
 
 msgid "Toggle navigation"
 msgstr "نیویگیشن ٹوگل کریں"
 
+msgid "open issue"
+msgstr "کھلا مسئلہ"
+
+msgid "Download notebook file"
+msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
+
 msgid "Theme by the"
 msgstr "کے ذریعہ تھیم"
 
-msgid "Source repository"
-msgstr "ماخذ ذخیرہ"
+msgid "Print to PDF"
+msgstr "پی ڈی ایف پرنٹ کریں"
+
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
+
+msgid "Copyright"
+msgstr "کاپی رائٹ"
 
 msgid "Last updated on"
 msgstr "آخری بار تازہ کاری ہوئی"
 
-msgid "By the"
-msgstr "کی طرف"
+msgid "Launch"
+msgstr "لانچ کریں"
+
+msgid "Open an issue"
+msgstr "ایک مسئلہ کھولیں"
 
 msgid "Sphinx Book Theme"
 msgstr "سپنکس بک تھیم"
 
-msgid "Open an issue"
-msgstr "ایک مسئلہ کھولیں"
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
 
 msgid "next page"
 msgstr "اگلا صفحہ"
 
-msgid "Copyright"
-msgstr "کاپی رائٹ"
-
-msgid "Search this book..."
-msgstr "اس کتاب کو تلاش کریں…"
-
-msgid "Print to PDF"
-msgstr "پی ڈی ایف پرنٹ کریں"
+msgid "Source repository"
+msgstr "ماخذ ذخیرہ"
 
 msgid "By"
 msgstr "بذریعہ"
 
+msgid "By the"
+msgstr "کی طرف"
+
 msgid "previous page"
 msgstr "سابقہ ​​صفحہ"
-
-msgid "Download notebook file"
-msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
-
-msgid "suggest edit"
-msgstr "ترمیم کی تجویز کریں"
diff --git a/dev/_static/locales/vi/LC_MESSAGES/booktheme.mo b/dev/_static/locales/vi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2bb32555c3ea0dab08ed37b71cb863fbe75698c6
GIT binary patch
literal 1431
zcmZvb&x;&I6vr#s{2bR9catc(#OK8%htWiG2(!#(H#@MntBV<f*WRAmu1b2V+OFzx
z2ZFF95JJ2J-Gl5Qt0F;gAtH!OA4Eoie?ShwL!cp$lOTACr+nXZhaHT?RDHUBz3=zE
z?s+(|XG5U9f<A?QAN>vV&v#)!JFr^_{KP>F`@nJV05}OA1gF4b;9KAkunA6pAA*NK
z3BCmSiq}An^CkEqxCxGf--9oMKUe&tTK}_}KL%Ov30MQi#>)GLK%P&59Onf13wRdX
z3;qSN-ajCp`xj*0y?e@hC&AY-KMlSLE>x7&{%7EEtZ#xGrw?+zzkx4+4=O$aInLi8
z=P?fP6X0=>=PmFs_%X<J(IBjdHSjg?3dkkr9Jqd5%Sm+B;=D&2B!;m#4mZw=8|!eb
zIlrUm2s!k~?{>6t9{djXqq7H;REU`#e&m%Dv(|WNyu(A%OLe5YIB!2Su?;$8te4By
zUZxct%bjIsvow_dS@cRfN`gp=xsLV-{cPIG;@E|$l!jJqM~a2OdCHPb;AMxb!8|je
z5+5Wu5E#<VWl}7q+8~IfrSmOuq0~!dVx9Ij?THJC(q@fj*jro4RVjueEtfg9Z4||l
zOwiR);59^yT=S(n%Q~e<lFF{OS!H`9yvw3U!lgteuwpOC(AVcX^@}ofh}NJ|zs~yg
zp>l0;esOMR|IFK`YgJ+E?Oq}q<YC~QBo4Hhrcec`lfL;;yH!88b1n^xTajsf&V;t3
zP1K-s%i7l#0uyDZYlFJFwiIV+5Z7BaU3CpI$#CkL?@m+s*gR?I%_f~WHC+=kMSfdj
z?Eh#Y@qUqirKywQ5i8#s`XuWW`MMEp%rvcKMSjaf<cs`zLaxX+$Opau-GrMW|Khoe
za37HwZ1qH_iu{IA9A!Hozq2u`ivF+k`z=_(s~v3NgWy38elSYR7X9sn432Djii`do
zLm`{e)E#VDv7`n+!TTa|qE!U&)GhkonPIebF>lDRK7TFmDND~hLNUKno*_5*I#duC
ze1pUH?uya95XS<na80h3K{qt+X_P1<b?<JGZ*p}M{3_8NrsOrUN%%ix#fTSncUzQM
Z`*e6S6ql71ocB7M!O~590wXmNPXTtKmQ4Tv

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/vi/LC_MESSAGES/booktheme.po b/dev/_static/locales/vi/LC_MESSAGES/booktheme.po
index 2c4250277..59db26698 100644
--- a/dev/_static/locales/vi/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: vi\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "kho"
-
-msgid "open issue"
-msgstr "vấn đề mở"
-
-msgid "Contents"
-msgstr "Nội dung"
-
-msgid "Fullscreen mode"
-msgstr "Chế độ toàn màn hình"
-
-msgid "Download this page"
-msgstr "Tải xuống trang này"
-
 msgid "Download source file"
 msgstr "Tải xuống tệp nguồn"
 
-msgid "Launch"
-msgstr "Phóng"
-
-msgid "Edit this page"
-msgstr "chỉnh sửa trang này"
+msgid "suggest edit"
+msgstr "đề nghị chỉnh sửa"
 
 msgid "Toggle navigation"
 msgstr "Chuyển đổi điều hướng thành"
 
+msgid "open issue"
+msgstr "vấn đề mở"
+
+msgid "Download notebook file"
+msgstr "Tải xuống tệp sổ tay"
+
+msgid "repository"
+msgstr "kho"
+
 msgid "Theme by the"
 msgstr "Chủ đề của"
 
-msgid "Source repository"
-msgstr "Kho nguồn"
+msgid "Print to PDF"
+msgstr "In sang PDF"
+
+msgid "Download this page"
+msgstr "Tải xuống trang này"
+
+msgid "Copyright"
+msgstr "Bản quyền"
 
 msgid "Last updated on"
 msgstr "Cập nhật lần cuối vào"
 
-msgid "By the"
-msgstr "Bằng"
+msgid "Launch"
+msgstr "Phóng"
+
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
+
+msgid "Fullscreen mode"
+msgstr "Chế độ toàn màn hình"
 
 msgid "Sphinx Book Theme"
 msgstr "Chủ đề sách nhân sư"
 
-msgid "Open an issue"
-msgstr "Mở một vấn đề"
+msgid "Contents"
+msgstr "Nội dung"
+
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
 
 msgid "next page"
 msgstr "Trang tiếp theo"
 
-msgid "Copyright"
-msgstr "Bản quyền"
-
-msgid "Search this book..."
-msgstr "Tìm kiếm cuốn sách này ..."
-
-msgid "Print to PDF"
-msgstr "In sang PDF"
+msgid "Source repository"
+msgstr "Kho nguồn"
 
 msgid "By"
 msgstr "Bởi"
 
+msgid "By the"
+msgstr "Bằng"
+
 msgid "previous page"
 msgstr "trang trước"
-
-msgid "Search the docs ..."
-msgstr "Tìm kiếm tài liệu ..."
-
-msgid "Download notebook file"
-msgstr "Tải xuống tệp sổ tay"
-
-msgid "suggest edit"
-msgstr "đề nghị chỉnh sửa"
diff --git a/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo b/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0e3235d090c2a05c0e278d38520f0437847dc79f
GIT binary patch
literal 1310
zcmZ9JO>7fK6vqb$6da&5d>$e(Tqr%5FL8(*`2r*YiH`^Z>aE(?ll6i#v)Y{nLNAmS
zVZLM|@+Cqff{+L(H9>+X*h#n|&YXJarQWrDsNf1G{?EIRgwekJ?VFu>|Np%Cx20*2
zVQfXTBHkmmBW^Fl3uE<i#_+H;c&!50f~&!e;2N+M+yd?dH-Sm81v~|=2L<>es3ZOb
zQk?;C9XJZE1)qXHfzuJ+M)Utfc@-qRPhbpOu_D~R9;Cb#q&h!?W$*w<>pw>P43chB
zQ^;m;Gx8RY{OyX^7V!v3^?n6uod9Y7@6r5Kko@OC(isEk+)qHNR|2<z@1p<zfmHAR
zDE|yL{HzT3HG|Z0T0?cHmm3k(TdKc!U@O~zp#IXJ^V6XIkv91v&nU^75p=hU2kFus
z{(wMR8u!Z%_T%9?BiJD&wUFAyhu!a3W=6Ba>Y~glBh97KqDQIoyw}Q#g=trLPD*??
zsWX<#ZNn6-BW-Dv{+f1r*{qv#gpj;Xr3E`?xSD%*+R!4+l|=5zREC|jvA~era$Qfb
zF2|B6qIlQgPIfxfbA+v2ODm_JowhTUyu=TZx9*JS6Rh#(J>i+Um1$-Lm&OIlG_(Z~
zDK6>Iog$r3#CF65OL>v)Mde-3GzDA=oCH?XIg!%wqv`lr;kc-l;Guq;^y3ZX*zu#s
zI~M-$+r2jyH8$SeZ;J%iFtEqY8kTJ5sf^*cLMP93cgEWm);WfBdxaD4kSUe6q?zDt
zJ(i9gGo<OEuL*uR^V^{lv97G=7}<EIa{Al^mv$p{ll$9w_?g@#`Hm#t_e*<>RpuVl
zu3Y;tdw<bab+qWu4YKNuTrl=0tIXW0&COLO2WrKs;K5`tbiGoZj%I^WVQK#N<NElk
z`q(2@ogJ#p-wnRy{<R7JMLw7q_h<9id^4CF4@O@GLsP-<bba_G8So3w{hJfa&yD)!
zQmt65KN>+Y?BAIRa)rh<L$3Pp55IJ8$@Nxd%Ct1Z!g+#``Re0RkQ=JsFVu$f{`1*d
n?pg4V)NfU0uE6I~DVU0;E9HBn5#$U0^-|?cF&KCqI$~b{HWi8t

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
index 4098aedc4..e8d12dd74 100644
--- a/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -8,71 +8,68 @@ msgstr ""
 "Language: zh_CN\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "资料库"
-
-msgid "open issue"
-msgstr "公开的问题"
+msgid "Download source file"
+msgstr "下载源文件"
 
-msgid "Contents"
-msgstr "内容"
+msgid "suggest edit"
+msgstr "提出修改建议"
 
-msgid "Fullscreen mode"
-msgstr "全屏模式"
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
 
-msgid "Download this page"
-msgstr "下载此页面"
+msgid "open issue"
+msgstr "创建议题"
 
-msgid "Download source file"
-msgstr "下载源文件"
+msgid "Download notebook file"
+msgstr "下载笔记本文件"
 
-msgid "Launch"
-msgstr "发射"
+msgid "repository"
+msgstr "仓库"
 
-msgid "Edit this page"
-msgstr "编辑这个页面"
+msgid "Theme by the"
+msgstr "主题作者："
 
-msgid "Toggle navigation"
-msgstr "切换导航"
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "Theme by the"
-msgstr "主题由"
+msgid "Download this page"
+msgstr "下载此页面"
 
-msgid "Source repository"
-msgstr "源库"
+msgid "Copyright"
+msgstr "版权"
 
 msgid "Last updated on"
 msgstr "上次更新时间："
 
-msgid "By the"
-msgstr "由"
+msgid "Launch"
+msgstr "启动"
+
+msgid "Open an issue"
+msgstr "创建议题"
+
+msgid "Fullscreen mode"
+msgstr "全屏模式"
 
 msgid "Sphinx Book Theme"
-msgstr "狮身人面像书主题"
+msgstr "Sphinx Book 主题"
 
-msgid "Open an issue"
-msgstr "打开一个问题"
+msgid "Contents"
+msgstr "目录"
+
+msgid "Edit this page"
+msgstr "编辑此页面"
 
 msgid "next page"
 msgstr "下一页"
 
-msgid "Copyright"
-msgstr "版权"
-
-msgid "Search this book..."
-msgstr "搜索这本书..."
-
-msgid "Print to PDF"
-msgstr "列印成PDF"
+msgid "Source repository"
+msgstr "源码库"
 
 msgid "By"
-msgstr "通过"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一页"
-
-msgid "Search the docs ..."
-msgstr "搜索文档..."
-
-msgid "Download notebook file"
-msgstr "下载笔记本文件"
diff --git a/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo b/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9116fa95d0a752665e0f1d59857a32abfc0c6bce
GIT binary patch
literal 1341
zcmZ9JO>7%Q6vqb|O6z_>OFs^gI=uiz7%1XUIrvhVNR?8ES{E)zXk$;;3!9nM?rdo|
zg(?BJNt;NGU78fyR1pmy`2barI!U>5;l_yr7d&hG1XmCT{?EI?hS9$L&6|(+{`20i
zd%MaE;~=aX_A~4-Y~m68Ft$C)7(TWgzpda-a2vP}+zxhw2f(Mnr@$<@7d!**1_ihW
z)CosHiZc!F0%yUU;1}SN;CBgsOxAx%{5nYa{sdFtmM!u9-5~khAjNqGTmxSL>HHrF
z{{ks*S695g10>!1LDKhp!dDaaCwv>+k9`-U`<Fn<a~UN46_D=FgNMNTAf5jy@qYtJ
z$KN2G+xl4SA4teSs@HQMm7HRePqo|!BaL*wb08FZ0!H<vLGPzQ^`ji5i!>l4+X18A
zb`E+6_3&{R%F^mDJ28xp>!M(<DXE3j0VdwC@7P7nPOA5%tE>W-N{d0I-s9&TSG1P{
z75aJczeQbi0`6J1V7&!LBlM=*7rJhc_l1yrNEHO@w*t*WuV86W;7Y;|WxmMX@NmGA
z+zEnEumRtZ2%`AF$v$>A&gTnH1&&t!FgxoN9eI(TAZ@v#7!s`Y=Y#Q^a>}+{!KHP<
zu`TT&i4+%gtWHs$IEm+r3yumC*&X47(6$9s3cLhT)Vm_D)29mQH-#S{T878@)098m
z%A7iV>U3{=|JVyJrINy?bHkp<a18-3damWj9-c2+ejs%AT&^#DynW8MWN=>i>0X&v
z1xMN$etgi;seVh^A?ljp9~9roy_FhpL*H`KeaasSGF*BsH^{!+!{cf8S;>!N`LUxt
zDOTIK)fgH3eSM~5R-avJPK<W6yS6&sSij6)-)wgD<#aSxV)3%McH7(=$5P@)i}TGp
zA2vU|%j(}RG}f2fz8PC+e0JA7C`Su(W_^-Hw?@pviD>qIR9T5`UTRjZlMYk9ZN|&2
zSsBNyvAEKln_#AN!(3g7N>i<F*B*WpRj178w`TDZQ~l~cy{>JPqMOUL)it`->9il(
zoLjEXSEEv;IrB~9#-v%f*7$q_8AyL^bp+y>8T%Uf>ocRKJlP7gdS!Fx->lK(l=-+?
P`(Y`Xeqh$BP|E%Rvo4ks

literal 0
HcmV?d00001

diff --git a/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
index 52cff5e23..0ed32f74e 100644
--- a/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
+++ b/dev/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -8,74 +8,68 @@ msgstr ""
 "Language: zh_TW\n"
 "Plural-Forms: nplurals=2; plural=(n != 1);\n"
 
-msgid "repository"
-msgstr "資料庫"
+msgid "Download source file"
+msgstr "下載原始檔"
+
+msgid "suggest edit"
+msgstr "提出修改建議"
+
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
 
 msgid "open issue"
 msgstr "公開的問題"
 
-msgid "Contents"
-msgstr "內容"
-
-msgid "Fullscreen mode"
-msgstr "全屏模式"
+msgid "Download notebook file"
+msgstr "下載 Notebook 檔案"
 
-msgid "Download this page"
-msgstr "下載此頁面"
+msgid "repository"
+msgstr "儲存庫"
 
-msgid "Download source file"
-msgstr "下載源文件"
+msgid "Theme by the"
+msgstr "佈景主題作者："
 
-msgid "Launch"
-msgstr "發射"
+msgid "Print to PDF"
+msgstr "列印成 PDF"
 
-msgid "Edit this page"
-msgstr "編輯這個頁面"
+msgid "Download this page"
+msgstr "下載此頁面"
 
-msgid "Toggle navigation"
-msgstr "切換導航"
+msgid "Copyright"
+msgstr "Copyright"
 
-msgid "Theme by the"
-msgstr "主題由"
+msgid "Last updated on"
+msgstr "最後更新時間："
 
-msgid "Source repository"
-msgstr "源庫"
+msgid "Launch"
+msgstr "啟動"
 
-msgid "Last updated on"
-msgstr "上次更新時間："
+msgid "Open an issue"
+msgstr "開啟議題"
 
-msgid "By the"
-msgstr "由"
+msgid "Fullscreen mode"
+msgstr "全螢幕模式"
 
 msgid "Sphinx Book Theme"
-msgstr "獅身人面像書主題"
+msgstr "Sphinx Book 佈景主題"
 
-msgid "Open an issue"
-msgstr "打開一個問題"
+msgid "Contents"
+msgstr "目錄"
+
+msgid "Edit this page"
+msgstr "編輯此頁面"
 
 msgid "next page"
 msgstr "下一頁"
 
-msgid "Copyright"
-msgstr "版權"
-
-msgid "Search this book..."
-msgstr "搜索這本書..."
-
-msgid "Print to PDF"
-msgstr "列印成PDF"
+msgid "Source repository"
+msgstr "來源儲存庫"
 
 msgid "By"
-msgstr "通過"
+msgstr "作者："
+
+msgid "By the"
+msgstr "作者："
 
 msgid "previous page"
 msgstr "上一頁"
-
-msgid "Search the docs ..."
-msgstr "搜索文檔..."
-
-msgid "Download notebook file"
-msgstr "下載筆記本文件"
-
-msgid "suggest edit"
-msgstr "建議編輯"
diff --git a/dev/_static/pygments.css b/dev/_static/pygments.css
index 08bec689d..997797f27 100644
--- a/dev/_static/pygments.css
+++ b/dev/_static/pygments.css
@@ -1,74 +1,152 @@
-pre { line-height: 125%; }
-td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
-span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
-td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
-span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
-.highlight .hll { background-color: #ffffcc }
-.highlight { background: #f8f8f8; }
-.highlight .c { color: #3D7B7B; font-style: italic } /* Comment */
-.highlight .err { border: 1px solid #FF0000 } /* Error */
-.highlight .k { color: #008000; font-weight: bold } /* Keyword */
-.highlight .o { color: #666666 } /* Operator */
-.highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
-.highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
-.highlight .cp { color: #9C6500 } /* Comment.Preproc */
-.highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
-.highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
-.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
-.highlight .gd { color: #A00000 } /* Generic.Deleted */
-.highlight .ge { font-style: italic } /* Generic.Emph */
-.highlight .gr { color: #E40000 } /* Generic.Error */
-.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
-.highlight .gi { color: #008400 } /* Generic.Inserted */
-.highlight .go { color: #717171 } /* Generic.Output */
-.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
-.highlight .gs { font-weight: bold } /* Generic.Strong */
-.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
-.highlight .gt { color: #0044DD } /* Generic.Traceback */
-.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
-.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
-.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
-.highlight .kp { color: #008000 } /* Keyword.Pseudo */
-.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
-.highlight .kt { color: #B00040 } /* Keyword.Type */
-.highlight .m { color: #666666 } /* Literal.Number */
-.highlight .s { color: #BA2121 } /* Literal.String */
-.highlight .na { color: #687822 } /* Name.Attribute */
-.highlight .nb { color: #008000 } /* Name.Builtin */
-.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
-.highlight .no { color: #880000 } /* Name.Constant */
-.highlight .nd { color: #AA22FF } /* Name.Decorator */
-.highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */
-.highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
-.highlight .nf { color: #0000FF } /* Name.Function */
-.highlight .nl { color: #767600 } /* Name.Label */
-.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
-.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
-.highlight .nv { color: #19177C } /* Name.Variable */
-.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
-.highlight .w { color: #bbbbbb } /* Text.Whitespace */
-.highlight .mb { color: #666666 } /* Literal.Number.Bin */
-.highlight .mf { color: #666666 } /* Literal.Number.Float */
-.highlight .mh { color: #666666 } /* Literal.Number.Hex */
-.highlight .mi { color: #666666 } /* Literal.Number.Integer */
-.highlight .mo { color: #666666 } /* Literal.Number.Oct */
-.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
-.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
-.highlight .sc { color: #BA2121 } /* Literal.String.Char */
-.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
-.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
-.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
-.highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
-.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
-.highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
-.highlight .sx { color: #008000 } /* Literal.String.Other */
-.highlight .sr { color: #A45A77 } /* Literal.String.Regex */
-.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
-.highlight .ss { color: #19177C } /* Literal.String.Symbol */
-.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
-.highlight .fm { color: #0000FF } /* Name.Function.Magic */
-.highlight .vc { color: #19177C } /* Name.Variable.Class */
-.highlight .vg { color: #19177C } /* Name.Variable.Global */
-.highlight .vi { color: #19177C } /* Name.Variable.Instance */
-.highlight .vm { color: #19177C } /* Name.Variable.Magic */
-.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
\ No newline at end of file
+html[data-theme="light"] .highlight pre { line-height: 125%; }
+html[data-theme="light"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight .hll { background-color: #7971292e }
+html[data-theme="light"] .highlight { background: #fefefe; color: #545454 }
+html[data-theme="light"] .highlight .c { color: #797129 } /* Comment */
+html[data-theme="light"] .highlight .err { color: #d91e18 } /* Error */
+html[data-theme="light"] .highlight .k { color: #7928a1 } /* Keyword */
+html[data-theme="light"] .highlight .l { color: #797129 } /* Literal */
+html[data-theme="light"] .highlight .n { color: #545454 } /* Name */
+html[data-theme="light"] .highlight .o { color: #008000 } /* Operator */
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+html[data-theme="light"] .highlight .ch { color: #797129 } /* Comment.Hashbang */
+html[data-theme="light"] .highlight .cm { color: #797129 } /* Comment.Multiline */
+html[data-theme="light"] .highlight .cp { color: #797129 } /* Comment.Preproc */
+html[data-theme="light"] .highlight .cpf { color: #797129 } /* Comment.PreprocFile */
+html[data-theme="light"] .highlight .c1 { color: #797129 } /* Comment.Single */
+html[data-theme="light"] .highlight .cs { color: #797129 } /* Comment.Special */
+html[data-theme="light"] .highlight .gd { color: #007faa } /* Generic.Deleted */
+html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */
+html[data-theme="light"] .highlight .gh { color: #007faa } /* Generic.Heading */
+html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */
+html[data-theme="light"] .highlight .gu { color: #007faa } /* Generic.Subheading */
+html[data-theme="light"] .highlight .kc { color: #7928a1 } /* Keyword.Constant */
+html[data-theme="light"] .highlight .kd { color: #7928a1 } /* Keyword.Declaration */
+html[data-theme="light"] .highlight .kn { color: #7928a1 } /* Keyword.Namespace */
+html[data-theme="light"] .highlight .kp { color: #7928a1 } /* Keyword.Pseudo */
+html[data-theme="light"] .highlight .kr { color: #7928a1 } /* Keyword.Reserved */
+html[data-theme="light"] .highlight .kt { color: #797129 } /* Keyword.Type */
+html[data-theme="light"] .highlight .ld { color: #797129 } /* Literal.Date */
+html[data-theme="light"] .highlight .m { color: #797129 } /* Literal.Number */
+html[data-theme="light"] .highlight .s { color: #008000 } /* Literal.String */
+html[data-theme="light"] .highlight .na { color: #797129 } /* Name.Attribute */
+html[data-theme="light"] .highlight .nb { color: #797129 } /* Name.Builtin */
+html[data-theme="light"] .highlight .nc { color: #007faa } /* Name.Class */
+html[data-theme="light"] .highlight .no { color: #007faa } /* Name.Constant */
+html[data-theme="light"] .highlight .nd { color: #797129 } /* Name.Decorator */
+html[data-theme="light"] .highlight .ni { color: #008000 } /* Name.Entity */
+html[data-theme="light"] .highlight .ne { color: #7928a1 } /* Name.Exception */
+html[data-theme="light"] .highlight .nf { color: #007faa } /* Name.Function */
+html[data-theme="light"] .highlight .nl { color: #797129 } /* Name.Label */
+html[data-theme="light"] .highlight .nn { color: #545454 } /* Name.Namespace */
+html[data-theme="light"] .highlight .nx { color: #545454 } /* Name.Other */
+html[data-theme="light"] .highlight .py { color: #007faa } /* Name.Property */
+html[data-theme="light"] .highlight .nt { color: #007faa } /* Name.Tag */
+html[data-theme="light"] .highlight .nv { color: #d91e18 } /* Name.Variable */
+html[data-theme="light"] .highlight .ow { color: #7928a1 } /* Operator.Word */
+html[data-theme="light"] .highlight .pm { color: #545454 } /* Punctuation.Marker */
+html[data-theme="light"] .highlight .w { color: #545454 } /* Text.Whitespace */
+html[data-theme="light"] .highlight .mb { color: #797129 } /* Literal.Number.Bin */
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+html[data-theme="light"] .highlight .mh { color: #797129 } /* Literal.Number.Hex */
+html[data-theme="light"] .highlight .mi { color: #797129 } /* Literal.Number.Integer */
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+html[data-theme="light"] .highlight .sa { color: #008000 } /* Literal.String.Affix */
+html[data-theme="light"] .highlight .sb { color: #008000 } /* Literal.String.Backtick */
+html[data-theme="light"] .highlight .sc { color: #008000 } /* Literal.String.Char */
+html[data-theme="light"] .highlight .dl { color: #008000 } /* Literal.String.Delimiter */
+html[data-theme="light"] .highlight .sd { color: #008000 } /* Literal.String.Doc */
+html[data-theme="light"] .highlight .s2 { color: #008000 } /* Literal.String.Double */
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+html[data-theme="light"] .highlight .vm { color: #797129 } /* Name.Variable.Magic */
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+html[data-theme="dark"] .highlight pre { line-height: 125%; }
+html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight .hll { background-color: #ffd9002e }
+html[data-theme="dark"] .highlight { background: #2b2b2b; color: #f8f8f2 }
+html[data-theme="dark"] .highlight .c { color: #ffd900 } /* Comment */
+html[data-theme="dark"] .highlight .err { color: #ffa07a } /* Error */
+html[data-theme="dark"] .highlight .k { color: #dcc6e0 } /* Keyword */
+html[data-theme="dark"] .highlight .l { color: #ffd900 } /* Literal */
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+html[data-theme="dark"] .highlight .c1 { color: #ffd900 } /* Comment.Single */
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+html[data-theme="dark"] .highlight .gd { color: #00e0e0 } /* Generic.Deleted */
+html[data-theme="dark"] .highlight .ge { font-style: italic } /* Generic.Emph */
+html[data-theme="dark"] .highlight .gh { color: #00e0e0 } /* Generic.Heading */
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+html[data-theme="dark"] .highlight .gu { color: #00e0e0 } /* Generic.Subheading */
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+html[data-theme="dark"] .highlight .kr { color: #dcc6e0 } /* Keyword.Reserved */
+html[data-theme="dark"] .highlight .kt { color: #ffd900 } /* Keyword.Type */
+html[data-theme="dark"] .highlight .ld { color: #ffd900 } /* Literal.Date */
+html[data-theme="dark"] .highlight .m { color: #ffd900 } /* Literal.Number */
+html[data-theme="dark"] .highlight .s { color: #abe338 } /* Literal.String */
+html[data-theme="dark"] .highlight .na { color: #ffd900 } /* Name.Attribute */
+html[data-theme="dark"] .highlight .nb { color: #ffd900 } /* Name.Builtin */
+html[data-theme="dark"] .highlight .nc { color: #00e0e0 } /* Name.Class */
+html[data-theme="dark"] .highlight .no { color: #00e0e0 } /* Name.Constant */
+html[data-theme="dark"] .highlight .nd { color: #ffd900 } /* Name.Decorator */
+html[data-theme="dark"] .highlight .ni { color: #abe338 } /* Name.Entity */
+html[data-theme="dark"] .highlight .ne { color: #dcc6e0 } /* Name.Exception */
+html[data-theme="dark"] .highlight .nf { color: #00e0e0 } /* Name.Function */
+html[data-theme="dark"] .highlight .nl { color: #ffd900 } /* Name.Label */
+html[data-theme="dark"] .highlight .nn { color: #f8f8f2 } /* Name.Namespace */
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+html[data-theme="dark"] .highlight .py { color: #00e0e0 } /* Name.Property */
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+html[data-theme="dark"] .highlight .nv { color: #ffa07a } /* Name.Variable */
+html[data-theme="dark"] .highlight .ow { color: #dcc6e0 } /* Operator.Word */
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+html[data-theme="dark"] .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
+html[data-theme="dark"] .highlight .mb { color: #ffd900 } /* Literal.Number.Bin */
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+html[data-theme="dark"] .highlight .mh { color: #ffd900 } /* Literal.Number.Hex */
+html[data-theme="dark"] .highlight .mi { color: #ffd900 } /* Literal.Number.Integer */
+html[data-theme="dark"] .highlight .mo { color: #ffd900 } /* Literal.Number.Oct */
+html[data-theme="dark"] .highlight .sa { color: #abe338 } /* Literal.String.Affix */
+html[data-theme="dark"] .highlight .sb { color: #abe338 } /* Literal.String.Backtick */
+html[data-theme="dark"] .highlight .sc { color: #abe338 } /* Literal.String.Char */
+html[data-theme="dark"] .highlight .dl { color: #abe338 } /* Literal.String.Delimiter */
+html[data-theme="dark"] .highlight .sd { color: #abe338 } /* Literal.String.Doc */
+html[data-theme="dark"] .highlight .s2 { color: #abe338 } /* Literal.String.Double */
+html[data-theme="dark"] .highlight .se { color: #abe338 } /* Literal.String.Escape */
+html[data-theme="dark"] .highlight .sh { color: #abe338 } /* Literal.String.Heredoc */
+html[data-theme="dark"] .highlight .si { color: #abe338 } /* Literal.String.Interpol */
+html[data-theme="dark"] .highlight .sx { color: #abe338 } /* Literal.String.Other */
+html[data-theme="dark"] .highlight .sr { color: #ffa07a } /* Literal.String.Regex */
+html[data-theme="dark"] .highlight .s1 { color: #abe338 } /* Literal.String.Single */
+html[data-theme="dark"] .highlight .ss { color: #00e0e0 } /* Literal.String.Symbol */
+html[data-theme="dark"] .highlight .bp { color: #ffd900 } /* Name.Builtin.Pseudo */
+html[data-theme="dark"] .highlight .fm { color: #00e0e0 } /* Name.Function.Magic */
+html[data-theme="dark"] .highlight .vc { color: #ffa07a } /* Name.Variable.Class */
+html[data-theme="dark"] .highlight .vg { color: #ffa07a } /* Name.Variable.Global */
+html[data-theme="dark"] .highlight .vi { color: #ffa07a } /* Name.Variable.Instance */
+html[data-theme="dark"] .highlight .vm { color: #ffd900 } /* Name.Variable.Magic */
+html[data-theme="dark"] .highlight .il { color: #ffd900 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/dev/_static/scripts/bootstrap.js b/dev/_static/scripts/bootstrap.js
new file mode 100644
index 000000000..4e209b0e1
--- /dev/null
+++ b/dev/_static/scripts/bootstrap.js
@@ -0,0 +1,3 @@
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wi="dropdown",Ei=".bs.dropdown",Ai=".data-api",Ti="ArrowUp",Ci="ArrowDown",Oi=`hide${Ei}`,xi=`hidden${Ei}`,ki=`show${Ei}`,Li=`shown${Ei}`,Si=`click${Ei}${Ai}`,Di=`keydown${Ei}${Ai}`,$i=`keyup${Ei}${Ai}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,Mi=".dropdown-menu",ji=Kt()?"top-end":"top-start",Fi=Kt()?"top-start":"top-end",Hi=Kt()?"bottom-end":"bottom-start",Bi=Kt()?"bottom-start":"bottom-end",Wi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",Ri={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},qi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Mi)[0]||we.prev(this._element,Mi)[0]||we.findOne(Mi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Ri}static get DefaultType(){return qi}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),fe.trigger(this._element,Li,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Fi:ji:e?Bi:Hi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===Ci,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ti,Ci].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:we.prev(this,Ni)[0]||we.next(this,Ni)[0]||we.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Di,Ni,Vi.dataApiKeydownHandler),fe.on(document,Di,Mi,Vi.dataApiKeydownHandler),fe.on(document,Si,Vi.clearMenus),fe.on(document,$i,Vi.clearMenus),fe.on(document,Si,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Yi="backdrop",Ki="show",Qi=`mousedown.bs.${Yi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ui={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Gi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Ui}static get NAME(){return Yi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ki),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Qi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const Ji=".bs.focustrap",Zi=`focusin${Ji}`,tn=`keydown.tab${Ji}`,en="backward",nn={autofocus:!0,trapElement:null},sn={autofocus:"boolean",trapElement:"element"};class on extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return nn}static get DefaultType(){return sn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,Ji),fe.on(document,Zi,(t=>this._handleFocusin(t))),fe.on(document,tn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,Ji))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===en?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?en:"forward")}}const rn=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",an=".sticky-top",ln="padding-right",cn="margin-right";class hn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,ln,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e+t)),this._setElementAttributes(an,cn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,ln),this._resetElementAttributes(rn,ln),this._resetElementAttributes(an,cn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const dn=".bs.modal",un=`hide${dn}`,fn=`hidePrevented${dn}`,pn=`hidden${dn}`,mn=`show${dn}`,gn=`shown${dn}`,_n=`resize${dn}`,bn=`click.dismiss${dn}`,vn=`mousedown.dismiss${dn}`,yn=`keydown.dismiss${dn}`,wn=`click${dn}.data-api`,En="modal-open",An="show",Tn="modal-static",Cn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new hn,this._addEventListeners()}static get Default(){return Cn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,mn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(En),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,un).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,dn),fe.off(this._dialog,dn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Gi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new on({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,gn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,yn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,vn,(t=>{fe.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(En),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Tn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Tn),this._queueCallback((()=>{this._element.classList.remove(Tn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,mn,(t=>{t.defaultPrevented||fe.one(e,pn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),Ee(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Sn=`load${kn}${Ln}`,Dn="show",$n="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,Mn=`shown${kn}`,jn=`hide${kn}`,Fn=`hidePrevented${kn}`,Hn=`hidden${kn}`,Bn=`resize${kn}`,Wn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,Rn={backdrop:!0,keyboard:!0,scroll:!1},qn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Rn}static get DefaultType(){return qn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new hn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($n),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Dn),this._element.classList.remove($n),fe.trigger(this._element,Mn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,jn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Dn,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new hn).reset(),fe.trigger(this._element,Hn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Gi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Fn)}:null})}_initializeFocusTrap(){return new on({trapElement:this._element})}_addEventListeners(){fe.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Fn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Hn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),fe.on(window,Sn,(()=>{for(const t of we.find(Nn))Vn.getOrCreateInstance(t).show()})),fe.on(window,Bn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),Ee(Vn),Qt(Vn);const Yn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={allowList:Yn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Gn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Jn={entry:"(string|element|function|null)",selector:"(string|element)"};class Zn extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Un}static get DefaultType(){return Gn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Jn)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const ts=new Set(["sanitize","allowList","sanitizeFn"]),es="fade",is="show",ns=".modal",ss="hide.bs.modal",os="hover",rs="focus",as={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ls={allowList:Yn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},cs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class hs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ls}static get DefaultType(){return cs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(ns),ss,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[rs]=!1,this._activeTrigger[os]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(es,is),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(es),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Zn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(es)}_isShown(){return this.tip&&this.tip.classList.contains(is)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=as[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===os?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===os?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?rs:os]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?rs:os]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(ns),ss,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))ts.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=hs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(hs);const ds={...hs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},us={...hs.DefaultType,content:"(null|string|element|function)"};class fs extends hs{static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".bs.scrollspy",ms=`activate${ps}`,gs=`click${ps}`,_s=`load${ps}.data-api`,bs="active",vs="[href]",ys=".nav-link",ws=`${ys}, .nav-item > ${ys}, .list-group-item`,Es={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},As={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ts extends ve{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return Es}static get DefaultType(){return As}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(fe.off(this._config.target,gs),fe.on(this._config.target,gs,vs,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=we.find(vs,this._config.target);for(const e of t){if(!e.hash||Wt(e))continue;const t=we.findOne(decodeURI(e.hash),this._element);Bt(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(bs),this._activateParents(t),fe.trigger(this._element,ms,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))we.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(bs);else for(const e of we.parents(t,".nav, .list-group"))for(const t of we.prev(e,ws))t.classList.add(bs)}_clearActiveClass(t){t.classList.remove(bs);const e=we.find(`${vs}.${bs}`,t);for(const t of e)t.classList.remove(bs)}static jQueryInterface(t){return this.each((function(){const e=Ts.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(window,_s,(()=>{for(const t of we.find('[data-bs-spy="scroll"]'))Ts.getOrCreateInstance(t)})),Qt(Ts);const Cs=".bs.tab",Os=`hide${Cs}`,xs=`hidden${Cs}`,ks=`show${Cs}`,Ls=`shown${Cs}`,Ss=`click${Cs}`,Ds=`keydown${Cs}`,$s=`load${Cs}`,Is="ArrowLeft",Ns="ArrowRight",Ps="ArrowUp",Ms="ArrowDown",js="Home",Fs="End",Hs="active",Bs="fade",Ws="show",zs=".dropdown-toggle",Rs=`:not(${zs})`,qs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Vs=`.nav-link${Rs}, .list-group-item${Rs}, [role="tab"]${Rs}, ${qs}`,Ys=`.${Hs}[data-bs-toggle="tab"], .${Hs}[data-bs-toggle="pill"], .${Hs}[data-bs-toggle="list"]`;class Ks extends ve{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),fe.on(this._element,Ds,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?fe.trigger(e,Os,{relatedTarget:t}):null;fe.trigger(t,ks,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Hs),this._activate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),fe.trigger(t,Ls,{relatedTarget:e})):t.classList.add(Ws)}),t,t.classList.contains(Bs)))}_deactivate(t,e){t&&(t.classList.remove(Hs),t.blur(),this._deactivate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),fe.trigger(t,xs,{relatedTarget:e})):t.classList.remove(Ws)}),t,t.classList.contains(Bs)))}_keydown(t){if(![Is,Ns,Ps,Ms,js,Fs].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Wt(t)));let i;if([js,Fs].includes(t.key))i=e[t.key===js?0:e.length-1];else{const n=[Ns,Ms].includes(t.key);i=Gt(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Ks.getOrCreateInstance(i).show())}_getChildren(){return we.find(Vs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=we.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=we.findOne(t,i);s&&s.classList.toggle(n,e)};n(zs,Hs),n(".dropdown-menu",Ws),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Hs)}_getInnerElement(t){return t.matches(Vs)?t:we.findOne(Vs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Ks.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(document,Ss,qs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this)||Ks.getOrCreateInstance(this).show()})),fe.on(window,$s,(()=>{for(const t of we.find(Ys))Ks.getOrCreateInstance(t)})),Qt(Ks);const Qs=".bs.toast",Xs=`mouseover${Qs}`,Us=`mouseout${Qs}`,Gs=`focusin${Qs}`,Js=`focusout${Qs}`,Zs=`hide${Qs}`,to=`hidden${Qs}`,eo=`show${Qs}`,io=`shown${Qs}`,no="hide",so="show",oo="showing",ro={animation:"boolean",autohide:"boolean",delay:"number"},ao={animation:!0,autohide:!0,delay:5e3};class lo extends ve{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return ao}static get DefaultType(){return ro}static get NAME(){return"toast"}show(){fe.trigger(this._element,eo).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(no),qt(this._element),this._element.classList.add(so,oo),this._queueCallback((()=>{this._element.classList.remove(oo),fe.trigger(this._element,io),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(fe.trigger(this._element,Zs).defaultPrevented||(this._element.classList.add(oo),this._queueCallback((()=>{this._element.classList.add(no),this._element.classList.remove(oo,so),fe.trigger(this._element,to)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(so),super.dispose()}isShown(){return this._element.classList.contains(so)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){fe.on(this._element,Xs,(t=>this._onInteraction(t,!0))),fe.on(this._element,Us,(t=>this._onInteraction(t,!1))),fe.on(this._element,Gs,(t=>this._onInteraction(t,!0))),fe.on(this._element,Js,(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=lo.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}function co(t){"loading"!=document.readyState?t():document.addEventListener("DOMContentLoaded",t)}Ee(lo),Qt(lo),co((function(){[].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]')).map((function(t){return new hs(t,{delay:{show:500,hide:100}})}))})),co((function(){document.getElementById("pst-back-to-top").addEventListener("click",(function(){document.body.scrollTop=0,document.documentElement.scrollTop=0}))})),co((function(){var t=document.getElementById("pst-back-to-top"),e=document.getElementsByClassName("bd-header")[0].getBoundingClientRect();window.addEventListener("scroll",(function(){this.oldScroll>this.scrollY&&this.scrollY>e.bottom?t.style.display="block":t.style.display="none",this.oldScroll=this.scrollY}))})),window.bootstrap=i})();
+//# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/dev/_static/scripts/bootstrap.js.LICENSE.txt b/dev/_static/scripts/bootstrap.js.LICENSE.txt
new file mode 100644
index 000000000..10f979d07
--- /dev/null
+++ b/dev/_static/scripts/bootstrap.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+  * Bootstrap v5.3.2 (https://getbootstrap.com/)
+  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
diff --git a/dev/_static/scripts/bootstrap.js.map b/dev/_static/scripts/bootstrap.js.map
new file mode 100644
index 000000000..64e212b1e
--- /dev/null
+++ b/dev/_static/scripts/bootstrap.js.map
@@ -0,0 +1 @@
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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if 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diff --git a/dev/_static/scripts/pydata-sphinx-theme.js b/dev/_static/scripts/pydata-sphinx-theme.js
index 0e00c4cad..25dee3ec2 100644
--- a/dev/_static/scripts/pydata-sphinx-theme.js
+++ b/dev/_static/scripts/pydata-sphinx-theme.js
@@ -1,32 +1,2 @@
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i='[data-toggle="collapse"][data-parent="'+this._config.parent+'"]',r=[].slice.call(e.querySelectorAll(i));return o.default(r).each((function(e,i){n._addAriaAndCollapsedClass(t._getTargetFromElement(i),[i])})),e},e._addAriaAndCollapsedClass=function(t,e){var n=o.default(t).hasClass("show");e.length&&o.default(e).toggleClass("collapsed",!n).attr("aria-expanded",n)},t._getTargetFromElement=function(t){var e=d.getSelectorFromElement(t);return e?document.querySelector(e):null},t._jQueryInterface=function(e){return this.each((function(){var n=o.default(this),i=n.data("bs.collapse"),r=l({},S,n.data(),"object"==typeof e&&e?e:{});if(!i&&r.toggle&&"string"==typeof e&&/show|hide/.test(e)&&(r.toggle=!1),i||(i=new t(this,r),n.data("bs.collapse",i)),"string"==typeof e){if(void 0===i[e])throw new TypeError('No method named "'+e+'"');i[e]()}}))},s(t,null,[{key:"VERSION",get:function(){return"4.6.1"}},{key:"Default",get:function(){return 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t(t,e){this._element=t,this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar(),this._addEventListeners()}var e=t.prototype;return e.toggle=function(){if(!this._element.disabled&&!o.default(this._element).hasClass("disabled")){var e=o.default(this._menu).hasClass("show");t._clearMenus(),e||this.show(!0)}},e.show=function(e){if(void 0===e&&(e=!1),!(this._element.disabled||o.default(this._element).hasClass("disabled")||o.default(this._menu).hasClass("show"))){var n={relatedTarget:this._element},i=o.default.Event("show.bs.dropdown",n),a=t._getParentFromElement(this._element);if(o.default(a).trigger(i),!i.isDefaultPrevented()){if(!this._inNavbar&&e){if(void 0===r.default)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");var s=this._element;"parent"===this._config.reference?s=a:d.isElement(this._config.reference)&&(s=this._config.reference,void 0!==this._config.reference.jquery&&(s=this._config.reference[0])),"scrollParent"!==this._config.boundary&&o.default(a).addClass("position-static"),this._popper=new r.default(s,this._menu,this._getPopperConfig())}"ontouchstart"in document.documentElement&&0===o.default(a).closest(".navbar-nav").length&&o.default(document.body).children().on("mouseover",null,o.default.noop),this._element.focus(),this._element.setAttribute("aria-expanded",!0),o.default(this._menu).toggleClass("show"),o.default(a).toggleClass("show").trigger(o.default.Event("shown.bs.dropdown",n))}}},e.hide=function(){if(!this._element.disabled&&!o.default(this._element).hasClass("disabled")&&o.default(this._menu).hasClass("show")){var e={relatedTarget:this._element},n=o.default.Event("hide.bs.dropdown",e),i=t._getParentFromElement(this._element);o.default(i).trigger(n),n.isDefaultPrevented()||(this._popper&&this._popper.destroy(),o.default(this._menu).toggleClass("show"),o.default(i).toggleClass("show").trigger(o.default.Event("hidden.bs.dropdown",e)))}},e.dispose=function(){o.default.removeData(this._element,"bs.dropdown"),o.default(this._element).off(".bs.dropdown"),this._element=null,this._menu=null,null!==this._popper&&(this._popper.destroy(),this._popper=null)},e.update=function(){this._inNavbar=this._detectNavbar(),null!==this._popper&&this._popper.scheduleUpdate()},e._addEventListeners=function(){var t=this;o.default(this._element).on("click.bs.dropdown",(function(e){e.preventDefault(),e.stopPropagation(),t.toggle()}))},e._getConfig=function(t){return 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i=o.default(this._element).hasClass("fade");if(i&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),o.default(document).off("focusin.bs.modal"),o.default(this._element).removeClass("show"),o.default(this._element).off("click.dismiss.bs.modal"),o.default(this._dialog).off("mousedown.dismiss.bs.modal"),i){var r=d.getTransitionDurationFromElement(this._element);o.default(this._element).one(d.TRANSITION_END,(function(t){return e._hideModal(t)})).emulateTransitionEnd(r)}else this._hideModal()}}},e.dispose=function(){[window,this._element,this._dialog].forEach((function(t){return 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e=this,n=o.default(this._element).hasClass("fade"),i=this._dialog?this._dialog.querySelector(".modal-body"):null;this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.appendChild(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),o.default(this._dialog).hasClass("modal-dialog-scrollable")&&i?i.scrollTop=0:this._element.scrollTop=0,n&&d.reflow(this._element),o.default(this._element).addClass("show"),this._config.focus&&this._enforceFocus();var r=o.default.Event("shown.bs.modal",{relatedTarget:t}),a=function(){e._config.focus&&e._element.focus(),e._isTransitioning=!1,o.default(e._element).trigger(r)};if(n){var s=d.getTransitionDurationFromElement(this._dialog);o.default(this._dialog).one(d.TRANSITION_END,a).emulateTransitionEnd(s)}else a()},e._enforceFocus=function(){var t=this;o.default(document).off("focusin.bs.modal").on("focusin.bs.modal",(function(e){document!==e.target&&t._element!==e.target&&0===o.default(t._element).has(e.target).length&&t._element.focus()}))},e._setEscapeEvent=function(){var t=this;this._isShown?o.default(this._element).on("keydown.dismiss.bs.modal",(function(e){t._config.keyboard&&27===e.which?(e.preventDefault(),t.hide()):t._config.keyboard||27!==e.which||t._triggerBackdropTransition()})):this._isShown||o.default(this._element).off("keydown.dismiss.bs.modal")},e._setResizeEvent=function(){var t=this;this._isShown?o.default(window).on("resize.bs.modal",(function(e){return t.handleUpdate(e)})):o.default(window).off("resize.bs.modal")},e._hideModal=function(){var t=this;this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._showBackdrop((function(){o.default(document.body).removeClass("modal-open"),t._resetAdjustments(),t._resetScrollbar(),o.default(t._element).trigger("hidden.bs.modal")}))},e._removeBackdrop=function(){this._backdrop&&(o.default(this._backdrop).remove(),this._backdrop=null)},e._showBackdrop=function(t){var 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a=this.getTipElement(),s=d.getUID(this.constructor.NAME);a.setAttribute("id",s),this.element.setAttribute("aria-describedby",s),this.setContent(),this.config.animation&&o.default(a).addClass("fade");var l="function"==typeof this.config.placement?this.config.placement.call(this,a,this.element):this.config.placement,u=this._getAttachment(l);this.addAttachmentClass(u);var f=this._getContainer();o.default(a).data(this.constructor.DATA_KEY,this),o.default.contains(this.element.ownerDocument.documentElement,this.tip)||o.default(a).appendTo(f),o.default(this.element).trigger(this.constructor.Event.INSERTED),this._popper=new r.default(this.element,a,this._getPopperConfig(u)),o.default(a).addClass("show"),o.default(a).addClass(this.config.customClass),"ontouchstart"in document.documentElement&&o.default(document.body).children().on("mouseover",null,o.default.noop);var c=function(){t.config.animation&&t._fixTransition();var e=t._hoverState;t._hoverState=null,o.default(t.element).trigger(t.constructor.Event.SHOWN),"out"===e&&t._leave(null,t)};if(o.default(this.tip).hasClass("fade")){var h=d.getTransitionDurationFromElement(this.tip);o.default(this.tip).one(d.TRANSITION_END,c).emulateTransitionEnd(h)}else c()}},e.hide=function(t){var e=this,n=this.getTipElement(),i=o.default.Event(this.constructor.Event.HIDE),r=function(){"show"!==e._hoverState&&n.parentNode&&n.parentNode.removeChild(n),e._cleanTipClass(),e.element.removeAttribute("aria-describedby"),o.default(e.element).trigger(e.constructor.Event.HIDDEN),null!==e._popper&&e._popper.destroy(),t&&t()};if(o.default(this.element).trigger(i),!i.isDefaultPrevented()){if(o.default(n).removeClass("show"),"ontouchstart"in document.documentElement&&o.default(document.body).children().off("mouseover",null,o.default.noop),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1,o.default(this.tip).hasClass("fade")){var 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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = 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diff --git a/dev/_static/scripts/sphinx-book-theme.js b/dev/_static/scripts/sphinx-book-theme.js
index a8a305ebc..be9fa44d6 100644
--- a/dev/_static/scripts/sphinx-book-theme.js
+++ b/dev/_static/scripts/sphinx-book-theme.js
@@ -1,2 +1,2 @@
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diff --git a/dev/_static/scripts/sphinx-book-theme.js.map b/dev/_static/scripts/sphinx-book-theme.js.map
index dccd768ea..b8abcf860 100644
--- a/dev/_static/scripts/sphinx-book-theme.js.map
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\t\t__webpack_require__.r(ns);\n \t\tObject.defineProperty(ns, 'default', { enumerable: true, value: value });\n \t\tif(mode & 2 && typeof value != 'string') for(var key in value) __webpack_require__.d(ns, key, function(key) { return value[key]; }.bind(null, key));\n \t\treturn ns;\n \t};\n\n \t// getDefaultExport function for compatibility with non-harmony modules\n \t__webpack_require__.n = function(module) {\n \t\tvar getter = module && module.__esModule ?\n \t\t\tfunction getDefault() { return module['default']; } :\n \t\t\tfunction getModuleExports() { return module; };\n \t\t__webpack_require__.d(getter, 'a', getter);\n \t\treturn getter;\n \t};\n\n \t// Object.prototype.hasOwnProperty.call\n \t__webpack_require__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); };\n\n \t// __webpack_public_path__\n \t__webpack_require__.p = \"\";\n\n\n \t// Load entry module and return exports\n \treturn __webpack_require__(__webpack_require__.s = 0);\n","export default __webpack_public_path__ + \"styles/sphinx-book-theme.css\";","// Import CSS variables\n// ref: https://css-tricks.com/getting-javascript-to-talk-to-css-and-sass/\nimport \"../styles/index.scss\";\n\n/**\n * A helper function to load scripts when the DOM is loaded.\n * This waits for everything to be on the page first before running, since\n * some functionality doesn't behave properly until everything is ready.\n */\nvar sbRunWhenDOMLoaded = (cb) => {\n  if (document.readyState != \"loading\") {\n    cb();\n  } else if (document.addEventListener) {\n    document.addEventListener(\"DOMContentLoaded\", cb);\n  } else {\n    document.attachEvent(\"onreadystatechange\", function () {\n      if (document.readyState == \"complete\") cb();\n    });\n  }\n};\n\n/**\n * Toggle full-screen with button\n *\n * There are some browser-specific hacks in here:\n * - Safari requires a `webkit` prefix, so this uses conditionals to check for that\n *   ref: https://developer.mozilla.org/en-US/docs/Web/API/Fullscreen_API\n */\nvar toggleFullScreen = () => {\n  var isInFullScreen =\n    (document.fullscreenElement && document.fullscreenElement !== null) ||\n    (document.webkitFullscreenElement &&\n      document.webkitFullscreenElement !== null);\n  let docElm = document.documentElement;\n  if (!isInFullScreen) {\n    console.log(\"[SBT]: Entering full screen\");\n    if (docElm.requestFullscreen) {\n      docElm.requestFullscreen();\n    } else if (docElm.webkitRequestFullscreen) {\n      docElm.webkitRequestFullscreen();\n    }\n  } else {\n    console.log(\"[SBT]: Exiting full screen\");\n    if (document.exitFullscreen) {\n      document.exitFullscreen();\n    } else if (document.webkitExitFullscreen) {\n      document.webkitExitFullscreen();\n    }\n  }\n};\n\n/**\n * Manage scrolling behavior. This is primarily two things:\n *\n * 1. Hide the Table of Contents any time sidebar content is on the screen.\n *\n * This will be triggered any time a sidebar item enters or exits the screen.\n * It adds/removes items from an array if they have entered the screen, and\n * removes them when they exit the screen. It hides the TOC if anything is\n * on-screen.\n *\n * ref: https://developer.mozilla.org/en-US/docs/Web/API/Intersection_Observer_API\n *\n * 2. Add a `scrolled` class to <body> to trigger CSS changes.\n */\nvar initTocHide = () => {\n  var onScreenItems = [];\n  let hideTocCallback = (entries, observer) => {\n    // Check whether any sidebar item is displayed\n    entries.forEach((entry) => {\n      if (entry.isIntersecting) {\n        // If an element just came on screen, add it our list\n        onScreenItems.push(entry.target);\n      } else {\n        // Otherwise, if it's in our list then remove it\n        for (let ii = 0; ii < onScreenItems.length; ii++) {\n          if (onScreenItems[ii] === entry.target) {\n            onScreenItems.splice(ii, 1);\n            break;\n          }\n        }\n      }\n    });\n\n    // Hide the TOC if any margin content is displayed on the screen\n    if (onScreenItems.length > 0) {\n      document.querySelector(\"div.bd-sidebar-secondary\").classList.add(\"hide\");\n    } else {\n      document\n        .querySelector(\"div.bd-sidebar-secondary\")\n        .classList.remove(\"hide\");\n    }\n  };\n  let manageScrolledClassOnBody = (entries, observer) => {\n    // The pixel is at the top, so if we're < 0 that it means we've scrolled\n    if (entries[0].boundingClientRect.y < 0) {\n      document.body.classList.add(\"scrolled\");\n    } else {\n      document.body.classList.remove(\"scrolled\");\n    }\n  };\n\n  // Set up the intersection observer to watch all margin content\n  let options = {\n    // Trigger callback when the top of a margin item is 1/3 up the screen\n    rootMargin: \"0px 0px -33% 0px\",\n  };\n  let tocObserver = new IntersectionObserver(hideTocCallback, options);\n  // TODO: deprecate popout after v0.5.0\n  const selectorClasses = [\n    \"marginnote\",\n    \"sidenote\",\n    \"margin\",\n    \"margin-caption\",\n    \"full-width\",\n    \"sidebar\",\n    \"popout\",\n  ];\n  let marginSelector = [];\n  selectorClasses.forEach((ii) => {\n    // Use three permutations of each class name because `tag_` and `_` used to be supported\n    marginSelector.push(\n      ...[\n        `.${ii}`,\n        `.tag_${ii}`,\n        `.${ii.replace(\"-\", \"_\")}`,\n        `.tag_${ii.replace(\"-\", \"_\")}`,\n      ],\n    );\n  });\n  document.querySelectorAll(marginSelector.join(\", \")).forEach((ii) => {\n    tocObserver.observe(ii);\n  });\n\n  // Set up the observer to check if we've scrolled from top of page\n  let scrollObserver = new IntersectionObserver(manageScrolledClassOnBody);\n  scrollObserver.observe(document.querySelector(\".sbt-scroll-pixel-helper\"));\n};\n\n/**\n * Activate Thebe with a custom button click.\n */\nvar initThebeSBT = () => {\n  var title = document.querySelector(\"section h1\");\n  var sibling = title.nextElementSibling;\n  // If the next element after the title isn't a thebe button, add one now.\n  // That way it is initiatlized when thebe is first-clicked and isn't re-added after.\n  if (!sibling.classList.contains(\"thebe-launch-button\")) {\n    title.insertAdjacentHTML(\n      \"afterend\",\n      \"<button class='thebe-launch-button'></button>\",\n    );\n  }\n  // This function is provided by sphinx-thebe\n  initThebe();\n};\n\n/**\n * Add no print class to certain DOM elements\n */\n\nfunction addNoPrint() {\n  var noPrintSelector = [\n    \".bd-header-announcement\",\n    \".bd-header\",\n    \".bd-header-article\",\n    \".bd-sidebar-primary\",\n    \".bd-sidebar-secondary\",\n    \".bd-footer-article\",\n    \".bd-footer-content\",\n    \".bd-footer\",\n  ].join(\",\");\n  document.querySelectorAll(noPrintSelector).forEach((ii) => {\n    ii.classList.add(\"noprint\");\n  });\n}\n\n/**\n * Set up callback functions for UI click actions\n */\nwindow.initThebeSBT = initThebeSBT;\nwindow.toggleFullScreen = toggleFullScreen;\n\n/**\n * Set up functions to load when the DOM is ready\n */\nsbRunWhenDOMLoaded(initTocHide);\nsbRunWhenDOMLoaded(addNoPrint);\n"],"sourceRoot":""}
\ No newline at end of file
diff --git a/dev/_static/searchtools.js b/dev/_static/searchtools.js
index 0a44e8582..7918c3fab 100644
--- a/dev/_static/searchtools.js
+++ b/dev/_static/searchtools.js
@@ -4,22 +4,24 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
+"use strict";
 
-if (!Scorer) {
-  /**
-   * Simple result scoring code.
-   */
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
   var Scorer = {
     // Implement the following function to further tweak the score for each result
-    // The function takes a result array [filename, title, anchor, descr, score]
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
     // and returns the new score.
     /*
-    score: function(result) {
-      return result[4];
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
     },
     */
 
@@ -28,9 +30,11 @@ if (!Scorer) {
     // or matches in the last dotted part of the object name
     objPartialMatch: 6,
     // Additive scores depending on the priority of the object
-    objPrio: {0:  15,   // used to be importantResults
-              1:  5,   // used to be objectResults
-              2: -5},  // used to be unimportantResults
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
     //  Used when the priority is not in the mapping.
     objPrioDefault: 0,
 
@@ -39,452 +43,503 @@ if (!Scorer) {
     partialTitle: 7,
     // query found in terms
     term: 5,
-    partialTerm: 2
+    partialTerm: 2,
   };
 }
 
-if (!splitQuery) {
-  function splitQuery(query) {
-    return query.split(/\s+/);
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms, highlightTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
+
+  const [docName, title, anchor, descr, score, _filename] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = contentRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = contentRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
   }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+  }
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms)
+          );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      `Search finished, found ${resultCount} page(s) matching the search query.`
+    );
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms,
+  highlightTerms,
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms, highlightTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
 }
 
 /**
  * Search Module
  */
-var Search = {
-
-  _index : null,
-  _queued_query : null,
-  _pulse_status : -1,
-
-  htmlToText : function(htmlString) {
-      var virtualDocument = document.implementation.createHTMLDocument('virtual');
-      var htmlElement = $(htmlString, virtualDocument);
-      htmlElement.find('.headerlink').remove();
-      docContent = htmlElement.find('[role=main]')[0];
-      if(docContent === undefined) {
-          console.warn("Content block not found. Sphinx search tries to obtain it " +
-                       "via '[role=main]'. Could you check your theme or template.");
-          return "";
-      }
-      return docContent.textContent || docContent.innerText;
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent !== undefined) return docContent.textContent;
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+    );
+    return "";
   },
 
-  init : function() {
-      var params = $.getQueryParameters();
-      if (params.q) {
-          var query = params.q[0];
-          $('input[name="q"]')[0].value = query;
-          this.performSearch(query);
-      }
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
   },
 
-  loadIndex : function(url) {
-    $.ajax({type: "GET", url: url, data: null,
-            dataType: "script", cache: true,
-            complete: function(jqxhr, textstatus) {
-              if (textstatus != "success") {
-                document.getElementById("searchindexloader").src = url;
-              }
-            }});
-  },
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
 
-  setIndex : function(index) {
-    var q;
-    this._index = index;
-    if ((q = this._queued_query) !== null) {
-      this._queued_query = null;
-      Search.query(q);
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
     }
   },
 
-  hasIndex : function() {
-      return this._index !== null;
-  },
+  hasIndex: () => Search._index !== null,
 
-  deferQuery : function(query) {
-      this._queued_query = query;
-  },
+  deferQuery: (query) => (Search._queued_query = query),
 
-  stopPulse : function() {
-      this._pulse_status = 0;
-  },
+  stopPulse: () => (Search._pulse_status = -1),
 
-  startPulse : function() {
-    if (this._pulse_status >= 0)
-        return;
-    function pulse() {
-      var i;
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
       Search._pulse_status = (Search._pulse_status + 1) % 4;
-      var dotString = '';
-      for (i = 0; i < Search._pulse_status; i++)
-        dotString += '.';
-      Search.dots.text(dotString);
-      if (Search._pulse_status > -1)
-        window.setTimeout(pulse, 500);
-    }
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
     pulse();
   },
 
   /**
    * perform a search for something (or wait until index is loaded)
    */
-  performSearch : function(query) {
+  performSearch: (query) => {
     // create the required interface elements
-    this.out = $('#search-results');
-    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
-    this.dots = $('<span></span>').appendTo(this.title);
-    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
-    this.output = $('<ul class="search"/>').appendTo(this.out);
-
-    $('#search-progress').text(_('Preparing search...'));
-    this.startPulse();
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
 
     // index already loaded, the browser was quick!
-    if (this.hasIndex())
-      this.query(query);
-    else
-      this.deferQuery(query);
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
   },
 
   /**
    * execute search (requires search index to be loaded)
    */
-  query : function(query) {
-    var i;
-
-    // stem the searchterms and add them to the correct list
-    var stemmer = new Stemmer();
-    var searchterms = [];
-    var excluded = [];
-    var hlterms = [];
-    var tmp = splitQuery(query);
-    var objectterms = [];
-    for (i = 0; i < tmp.length; i++) {
-      if (tmp[i] !== "") {
-          objectterms.push(tmp[i].toLowerCase());
-      }
+  query: (query) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
 
-      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
-        // skip this "word"
-        continue;
-      }
       // stem the word
-      var word = stemmer.stemWord(tmp[i].toLowerCase());
-      var toAppend;
+      let word = stemmer.stemWord(queryTermLower);
       // select the correct list
-      if (word[0] == '-') {
-        toAppend = excluded;
-        word = word.substr(1);
-      }
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
       else {
-        toAppend = searchterms;
-        hlterms.push(tmp[i].toLowerCase());
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
       }
-      // only add if not already in the list
-      if (!$u.contains(toAppend, word))
-        toAppend.push(word);
-    }
-    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+    });
 
-    // console.debug('SEARCH: searching for:');
-    // console.info('required: ', searchterms);
-    // console.info('excluded: ', excluded);
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
 
-    // prepare search
-    var terms = this._index.terms;
-    var titleterms = this._index.titleterms;
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    // array of [docname, title, anchor, descr, score, filename]
+    let results = [];
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          results.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
 
-    // array of [filename, title, anchor, descr, score]
-    var results = [];
-    $('#search-progress').empty();
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id] of foundEntries) {
+          let score = Math.round(100 * queryLower.length / entry.length)
+          results.push([
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
 
     // lookup as object
-    for (i = 0; i < objectterms.length; i++) {
-      var others = [].concat(objectterms.slice(0, i),
-                             objectterms.slice(i+1, objectterms.length));
-      results = results.concat(this.performObjectSearch(objectterms[i], others));
-    }
+    objectTerms.forEach((term) =>
+      results.push(...Search.performObjectSearch(term, objectTerms))
+    );
 
     // lookup as search terms in fulltext
-    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
 
     // let the scorer override scores with a custom scoring function
-    if (Scorer.score) {
-      for (i = 0; i < results.length; i++)
-        results[i][4] = Scorer.score(results[i]);
-    }
+    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
 
     // now sort the results by score (in opposite order of appearance, since the
     // display function below uses pop() to retrieve items) and then
     // alphabetically
-    results.sort(function(a, b) {
-      var left = a[4];
-      var right = b[4];
-      if (left > right) {
-        return 1;
-      } else if (left < right) {
-        return -1;
-      } else {
+    results.sort((a, b) => {
+      const leftScore = a[4];
+      const rightScore = b[4];
+      if (leftScore === rightScore) {
         // same score: sort alphabetically
-        left = a[1].toLowerCase();
-        right = b[1].toLowerCase();
-        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+        const leftTitle = a[1].toLowerCase();
+        const rightTitle = b[1].toLowerCase();
+        if (leftTitle === rightTitle) return 0;
+        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
       }
+      return leftScore > rightScore ? 1 : -1;
     });
 
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    results = results.reverse();
+
     // for debugging
     //Search.lastresults = results.slice();  // a copy
-    //console.info('search results:', Search.lastresults);
+    // console.info("search results:", Search.lastresults);
 
     // print the results
-    var resultCount = results.length;
-    function displayNextItem() {
-      // results left, load the summary and display it
-      if (results.length) {
-        var item = results.pop();
-        var listItem = $('<li></li>');
-        var requestUrl = "";
-        var linkUrl = "";
-        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
-          // dirhtml builder
-          var dirname = item[0] + '/';
-          if (dirname.match(/\/index\/$/)) {
-            dirname = dirname.substring(0, dirname.length-6);
-          } else if (dirname == 'index/') {
-            dirname = '';
-          }
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
-          linkUrl = requestUrl;
-
-        } else {
-          // normal html builders
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
-          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
-        }
-        listItem.append($('<a/>').attr('href',
-            linkUrl +
-            highlightstring + item[2]).html(item[1]));
-        if (item[3]) {
-          listItem.append($('<span> (' + item[3] + ')</span>'));
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) {
-          $.ajax({url: requestUrl,
-                  dataType: "text",
-                  complete: function(jqxhr, textstatus) {
-                    var data = jqxhr.responseText;
-                    if (data !== '' && data !== undefined) {
-                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
-                      if (summary) {
-                        listItem.append(summary);
-                      }
-                    }
-                    Search.output.append(listItem);
-                    setTimeout(function() {
-                      displayNextItem();
-                    }, 5);
-                  }});
-        } else {
-          // just display title
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        }
-      }
-      // search finished, update title and status message
-      else {
-        Search.stopPulse();
-        Search.title.text(_('Search Results'));
-        if (!resultCount)
-          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
-        else
-            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
-        Search.status.fadeIn(500);
-      }
-    }
-    displayNextItem();
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
   },
 
   /**
    * search for object names
    */
-  performObjectSearch : function(object, otherterms) {
-    var filenames = this._index.filenames;
-    var docnames = this._index.docnames;
-    var objects = this._index.objects;
-    var objnames = this._index.objnames;
-    var titles = this._index.titles;
-
-    var i;
-    var results = [];
-
-    for (var prefix in objects) {
-      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
-        var match = objects[prefix][iMatch];
-        var name = match[4];
-        var fullname = (prefix ? prefix + '.' : '') + name;
-        var fullnameLower = fullname.toLowerCase()
-        if (fullnameLower.indexOf(object) > -1) {
-          var score = 0;
-          var parts = fullnameLower.split('.');
-          // check for different match types: exact matches of full name or
-          // "last name" (i.e. last dotted part)
-          if (fullnameLower == object || parts[parts.length - 1] == object) {
-            score += Scorer.objNameMatch;
-          // matches in last name
-          } else if (parts[parts.length - 1].indexOf(object) > -1) {
-            score += Scorer.objPartialMatch;
-          }
-          var objname = objnames[match[1]][2];
-          var title = titles[match[0]];
-          // If more than one term searched for, we require other words to be
-          // found in the name/title/description
-          if (otherterms.length > 0) {
-            var haystack = (prefix + ' ' + name + ' ' +
-                            objname + ' ' + title).toLowerCase();
-            var allfound = true;
-            for (i = 0; i < otherterms.length; i++) {
-              if (haystack.indexOf(otherterms[i]) == -1) {
-                allfound = false;
-                break;
-              }
-            }
-            if (!allfound) {
-              continue;
-            }
-          }
-          var descr = objname + _(', in ') + title;
-
-          var anchor = match[3];
-          if (anchor === '')
-            anchor = fullname;
-          else if (anchor == '-')
-            anchor = objnames[match[1]][1] + '-' + fullname;
-          // add custom score for some objects according to scorer
-          if (Scorer.objPrio.hasOwnProperty(match[2])) {
-            score += Scorer.objPrio[match[2]];
-          } else {
-            score += Scorer.objPrioDefault;
-          }
-          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
-        }
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
       }
-    }
 
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
     return results;
   },
 
-  /**
-   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
-   */
-  escapeRegExp : function(string) {
-    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
-  },
-
   /**
    * search for full-text terms in the index
    */
-  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
-    var docnames = this._index.docnames;
-    var filenames = this._index.filenames;
-    var titles = this._index.titles;
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
 
-    var i, j, file;
-    var fileMap = {};
-    var scoreMap = {};
-    var results = [];
+    const scoreMap = new Map();
+    const fileMap = new Map();
 
     // perform the search on the required terms
-    for (i = 0; i < searchterms.length; i++) {
-      var word = searchterms[i];
-      var files = [];
-      var _o = [
-        {files: terms[word], score: Scorer.term},
-        {files: titleterms[word], score: Scorer.title}
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
       ];
       // add support for partial matches
       if (word.length > 2) {
-        var word_regex = this.escapeRegExp(word);
-        for (var w in terms) {
-          if (w.match(word_regex) && !terms[word]) {
-            _o.push({files: terms[w], score: Scorer.partialTerm})
-          }
-        }
-        for (var w in titleterms) {
-          if (w.match(word_regex) && !titleterms[word]) {
-              _o.push({files: titleterms[w], score: Scorer.partialTitle})
-          }
-        }
+        const escapedWord = _escapeRegExp(word);
+        Object.keys(terms).forEach((term) => {
+          if (term.match(escapedWord) && !terms[word])
+            arr.push({ files: terms[term], score: Scorer.partialTerm });
+        });
+        Object.keys(titleTerms).forEach((term) => {
+          if (term.match(escapedWord) && !titleTerms[word])
+            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
+        });
       }
 
       // no match but word was a required one
-      if ($u.every(_o, function(o){return o.files === undefined;})) {
-        break;
-      }
+      if (arr.every((record) => record.files === undefined)) return;
+
       // found search word in contents
-      $u.each(_o, function(o) {
-        var _files = o.files;
-        if (_files === undefined)
-          return
-
-        if (_files.length === undefined)
-          _files = [_files];
-        files = files.concat(_files);
-
-        // set score for the word in each file to Scorer.term
-        for (j = 0; j < _files.length; j++) {
-          file = _files[j];
-          if (!(file in scoreMap))
-            scoreMap[file] = {};
-          scoreMap[file][word] = o.score;
-        }
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
       });
 
       // create the mapping
-      for (j = 0; j < files.length; j++) {
-        file = files[j];
-        if (file in fileMap && fileMap[file].indexOf(word) === -1)
-          fileMap[file].push(word);
-        else
-          fileMap[file] = [word];
-      }
-    }
+      files.forEach((file) => {
+        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
+          fileMap.get(file).push(word);
+        else fileMap.set(file, [word]);
+      });
+    });
 
     // now check if the files don't contain excluded terms
-    for (file in fileMap) {
-      var valid = true;
-
+    const results = [];
+    for (const [file, wordList] of fileMap) {
       // check if all requirements are matched
-      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
-        searchterms.filter(function(term){return term.length > 2}).length
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
       if (
-        fileMap[file].length != searchterms.length &&
-        fileMap[file].length != filteredTermCount
-      ) continue;
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
 
       // ensure that none of the excluded terms is in the search result
-      for (i = 0; i < excluded.length; i++) {
-        if (terms[excluded[i]] == file ||
-            titleterms[excluded[i]] == file ||
-            $u.contains(terms[excluded[i]] || [], file) ||
-            $u.contains(titleterms[excluded[i]] || [], file)) {
-          valid = false;
-          break;
-        }
-      }
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
 
-      // if we have still a valid result we can add it to the result list
-      if (valid) {
-        // select one (max) score for the file.
-        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
-        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
-        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
-      }
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
     }
     return results;
   },
@@ -492,34 +547,28 @@ var Search = {
   /**
    * helper function to return a node containing the
    * search summary for a given text. keywords is a list
-   * of stemmed words, hlwords is the list of normal, unstemmed
-   * words. the first one is used to find the occurrence, the
-   * latter for highlighting it.
+   * of stemmed words.
    */
-  makeSearchSummary : function(htmlText, keywords, hlwords) {
-    var text = Search.htmlToText(htmlText);
-    if (text == "") {
-      return null;
-    }
-    var textLower = text.toLowerCase();
-    var start = 0;
-    $.each(keywords, function() {
-      var i = textLower.indexOf(this.toLowerCase());
-      if (i > -1)
-        start = i;
-    });
-    start = Math.max(start - 120, 0);
-    var excerpt = ((start > 0) ? '...' : '') +
-      $.trim(text.substr(start, 240)) +
-      ((start + 240 - text.length) ? '...' : '');
-    var rv = $('<p class="context"></p>').text(excerpt);
-    $.each(hlwords, function() {
-      rv = rv.highlightText(this, 'highlighted');
-    });
-    return rv;
-  }
+  makeSearchSummary: (htmlText, keywords) => {
+    const text = Search.htmlToText(htmlText);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
 };
 
-$(document).ready(function() {
-  Search.init();
-});
+_ready(Search.init);
diff --git a/dev/_static/sg_gallery-binder.css b/dev/_static/sg_gallery-binder.css
index a33aa4204..420005d22 100644
--- a/dev/_static/sg_gallery-binder.css
+++ b/dev/_static/sg_gallery-binder.css
@@ -4,3 +4,8 @@ div.binder-badge {
   margin: 1em auto;
   vertical-align: middle;
 }
+
+div.lite-badge {
+  margin: 1em auto;
+  vertical-align: middle;
+}
diff --git a/dev/_static/sg_gallery-dataframe.css b/dev/_static/sg_gallery-dataframe.css
index f01e6b328..fac74c43b 100644
--- a/dev/_static/sg_gallery-dataframe.css
+++ b/dev/_static/sg_gallery-dataframe.css
@@ -1,17 +1,28 @@
 /* Pandas dataframe css */
 /* Taken from: https://github.com/spatialaudio/nbsphinx/blob/fb3ba670fc1ba5f54d4c487573dbc1b4ecf7e9ff/src/nbsphinx.py#L587-L619 */
+html[data-theme="light"] {
+  --sg-text-color: #000;
+  --sg-tr-odd-color: #f5f5f5;
+  --sg-tr-hover-color: rgba(66, 165, 245, 0.2);
+}
+html[data-theme="dark"] {
+  --sg-text-color: #fff;
+  --sg-tr-odd-color: #373737;
+  --sg-tr-hover-color: rgba(30, 81, 122, 0.2);
+}
 
 table.dataframe {
   border: none !important;
   border-collapse: collapse;
   border-spacing: 0;
   border-color: transparent;
-  color: black;
+  color: var(--sg-text-color);
   font-size: 12px;
   table-layout: fixed;
+  width: auto;
 }
 table.dataframe thead {
-  border-bottom: 1px solid black;
+  border-bottom: 1px solid var(--sg-text-color);
   vertical-align: bottom;
 }
 table.dataframe tr,
@@ -29,8 +40,8 @@ table.dataframe th {
   font-weight: bold;
 }
 table.dataframe tbody tr:nth-child(odd) {
-  background: #f5f5f5;
+  background: var(--sg-tr-odd-color);
 }
 table.dataframe tbody tr:hover {
-  background: rgba(66, 165, 245, 0.2);
+  background: var(--sg-tr-hover-color);
 }
diff --git a/dev/_static/sg_gallery-rendered-html.css b/dev/_static/sg_gallery-rendered-html.css
index cea21975c..93dc2ffb0 100644
--- a/dev/_static/sg_gallery-rendered-html.css
+++ b/dev/_static/sg_gallery-rendered-html.css
@@ -1,7 +1,21 @@
 /* Adapted from notebook/static/style/style.min.css */
+html[data-theme="light"] {
+  --sg-text-color: #000;
+  --sg-background-color: #ffffff;
+  --sg-code-background-color: #eff0f1;
+  --sg-tr-hover-color: rgba(66, 165, 245, 0.2);
+  --sg-tr-odd-color: #f5f5f5;
+}
+html[data-theme="dark"] {
+  --sg-text-color: #fff;
+  --sg-background-color: #121212;
+  --sg-code-background-color: #2f2f30;
+  --sg-tr-hover-color: rgba(66, 165, 245, 0.2);
+  --sg-tr-odd-color: #1f1f1f;
+}
 
 .rendered_html {
-  color: #000;
+  color: var(--sg-text-color);
   /* any extras will just be numbers: */
 }
 .rendered_html em {
@@ -112,27 +126,27 @@
   margin-top: 1em;
 }
 .rendered_html hr {
-  color: black;
-  background-color: black;
+  color: var(--sg-text-color);
+  background-color: var(--sg-text-color);
 }
 .rendered_html pre {
   margin: 1em 2em;
   padding: 0px;
-  background-color: #fff;
+  background-color: var(--sg-background-color);
 }
 .rendered_html code {
-  background-color: #eff0f1;
+  background-color: var(--sg-code-background-color);
 }
 .rendered_html p code {
   padding: 1px 5px;
 }
 .rendered_html pre code {
-  background-color: #fff;
+  background-color: var(--sg-background-color);
 }
 .rendered_html pre,
 .rendered_html code {
   border: 0;
-  color: #000;
+  color: var(--sg-text-color);
   font-size: 100%;
 }
 .rendered_html blockquote {
@@ -144,12 +158,12 @@
   border: none;
   border-collapse: collapse;
   border-spacing: 0;
-  color: black;
+  color: var(--sg-text-color);
   font-size: 12px;
   table-layout: fixed;
 }
 .rendered_html thead {
-  border-bottom: 1px solid black;
+  border-bottom: 1px solid var(--sg-text-color);
   vertical-align: bottom;
 }
 .rendered_html tr,
@@ -167,10 +181,11 @@
   font-weight: bold;
 }
 .rendered_html tbody tr:nth-child(odd) {
-  background: #f5f5f5;
+  background: var(--sg-tr-odd-color);
 }
 .rendered_html tbody tr:hover {
-  background: rgba(66, 165, 245, 0.2);
+  color: var(--sg-text-color);
+  background: var(--sg-tr-hover-color);
 }
 .rendered_html * + table {
   margin-top: 1em;
diff --git a/dev/_static/sg_gallery.css b/dev/_static/sg_gallery.css
index 5fdf7f249..72227837d 100644
--- a/dev/_static/sg_gallery.css
+++ b/dev/_static/sg_gallery.css
@@ -3,27 +3,158 @@ Sphinx-Gallery has compatible CSS to fix default sphinx themes
 Tested for Sphinx 1.3.1 for all themes: default, alabaster, sphinxdoc,
 scrolls, agogo, traditional, nature, haiku, pyramid
 Tested for Read the Docs theme 0.1.7 */
+
+/* Define light colors */
+:root, html[data-theme="light"], body[data-theme="light"]{
+  --sg-tooltip-foreground: black;
+  --sg-tooltip-background: rgba(250, 250, 250, 0.9);
+  --sg-tooltip-border: #ccc transparent;
+  --sg-thumb-box-shadow-color: #6c757d40;
+  --sg-thumb-hover-border: #0069d9;
+  --sg-script-out: #888;
+  --sg-script-pre: #fafae2;
+  --sg-pytb-foreground: #000;
+  --sg-pytb-background: #ffe4e4;
+  --sg-pytb-border-color: #f66;
+  --sg-download-a-background-color: #ffc;
+  --sg-download-a-background-image: linear-gradient(to bottom, #ffc, #d5d57e);
+  --sg-download-a-border-color: 1px solid #c2c22d;
+  --sg-download-a-color: #000;
+  --sg-download-a-hover-background-color: #d5d57e;
+  --sg-download-a-hover-box-shadow-1: rgba(255, 255, 255, 0.1);
+  --sg-download-a-hover-box-shadow-2: rgba(0, 0, 0, 0.25);
+}
+@media(prefers-color-scheme: light) {
+  :root[data-theme="auto"], html[data-theme="auto"], body[data-theme="auto"] {
+    --sg-tooltip-foreground: black;
+    --sg-tooltip-background: rgba(250, 250, 250, 0.9);
+    --sg-tooltip-border: #ccc transparent;
+    --sg-thumb-box-shadow-color: #6c757d40;
+    --sg-thumb-hover-border: #0069d9;
+    --sg-script-out: #888;
+    --sg-script-pre: #fafae2;
+    --sg-pytb-foreground: #000;
+    --sg-pytb-background: #ffe4e4;
+    --sg-pytb-border-color: #f66;
+    --sg-download-a-background-color: #ffc;
+    --sg-download-a-background-image: linear-gradient(to bottom, #ffc, #d5d57e);
+    --sg-download-a-border-color: 1px solid #c2c22d;
+    --sg-download-a-color: #000;
+    --sg-download-a-hover-background-color: #d5d57e;
+    --sg-download-a-hover-box-shadow-1: rgba(255, 255, 255, 0.1);
+    --sg-download-a-hover-box-shadow-2: rgba(0, 0, 0, 0.25);
+  }
+}
+
+html[data-theme="dark"], body[data-theme="dark"] {
+  --sg-tooltip-foreground: white;
+  --sg-tooltip-background: rgba(10, 10, 10, 0.9);
+  --sg-tooltip-border: #333 transparent;
+  --sg-thumb-box-shadow-color: #79848d40;
+  --sg-thumb-hover-border: #003975;
+  --sg-script-out: rgb(179, 179, 179);
+  --sg-script-pre: #2e2e22;
+  --sg-pytb-foreground: #fff;
+  --sg-pytb-background: #1b1717;
+  --sg-pytb-border-color: #622;
+  --sg-download-a-background-color: #443;
+  --sg-download-a-background-image: linear-gradient(to bottom, #443, #221);
+  --sg-download-a-border-color: 1px solid #3a3a0d;
+  --sg-download-a-color: #fff;
+  --sg-download-a-hover-background-color: #616135;
+  --sg-download-a-hover-box-shadow-1: rgba(0, 0, 0, 0.1);
+  --sg-download-a-hover-box-shadow-2: rgba(255, 255, 255, 0.25);
+}
+@media(prefers-color-scheme: dark){
+  html[data-theme="auto"], body[data-theme="auto"] {
+    --sg-tooltip-foreground: white;
+    --sg-tooltip-background: rgba(10, 10, 10, 0.9);
+    --sg-tooltip-border: #333 transparent;
+    --sg-thumb-box-shadow-color: #79848d40;
+    --sg-thumb-hover-border: #003975;
+    --sg-script-out: rgb(179, 179, 179);
+    --sg-script-pre: #2e2e22;
+    --sg-pytb-foreground: #fff;
+    --sg-pytb-background: #1b1717;
+    --sg-pytb-border-color: #622;
+    --sg-download-a-background-color: #443;
+    --sg-download-a-background-image: linear-gradient(to bottom, #443, #221);
+    --sg-download-a-border-color: 1px solid #3a3a0d;
+    --sg-download-a-color: #fff;
+    --sg-download-a-hover-background-color: #616135;
+    --sg-download-a-hover-box-shadow-1: rgba(0, 0, 0, 0.1);
+    --sg-download-a-hover-box-shadow-2: rgba(255, 255, 255, 0.25);
+  }
+}
+
+.sphx-glr-thumbnails {
+  width: 100%;
+  margin: 0px 0px 20px 0px;
+
+  /* align thumbnails on a grid */
+  justify-content: space-between;
+  display: grid;
+  /* each grid column should be at least 160px (this will determine
+  the actual number of columns) and then take as much of the
+  remaining width as possible */
+  grid-template-columns: repeat(auto-fill, minmax(160px, 1fr));
+  gap: 15px;
+}
+.sphx-glr-thumbnails .toctree-wrapper {
+  /* hide empty toctree divs added to the DOM
+  by sphinx even though the toctree is hidden
+  (they would fill grid places with empty divs) */
+  display: none;
+}
 .sphx-glr-thumbcontainer {
-  background: #fff;
-  border: solid #fff 1px;
+  background: transparent;
   -moz-border-radius: 5px;
   -webkit-border-radius: 5px;
   border-radius: 5px;
-  box-shadow: none;
-  float: left;
-  margin: 5px;
-  min-height: 230px;
-  padding-top: 5px;
+  box-shadow: 0 0 10px var(--sg-thumb-box-shadow-color);
+
+  /* useful to absolutely position link in div */
   position: relative;
+
+  /* thumbnail width should include padding and borders
+  and take all available space */
+  box-sizing: border-box;
+  width: 100%;
+  padding: 10px;
+  border: 1px solid transparent;
+
+  /* align content in thumbnail */
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  gap: 7px;
+}
+.sphx-glr-thumbcontainer p {
+  position: absolute;
+  top: 0;
+  left: 0;
+}
+.sphx-glr-thumbcontainer p,
+.sphx-glr-thumbcontainer p a {
+  /* link should cover the whole thumbnail div */
+  width: 100%;
+  height: 100%;
+}
+.sphx-glr-thumbcontainer p a span {
+  /* text within link should be masked
+  (we are just interested in the href) */
+  display: none;
 }
 .sphx-glr-thumbcontainer:hover {
-  border: solid #b4ddfc 1px;
-  box-shadow: 0 0 15px rgba(142, 176, 202, 0.5);
+  border: 1px solid;
+  border-color: var(--sg-thumb-hover-border);
+  cursor: pointer;
 }
 .sphx-glr-thumbcontainer a.internal {
   bottom: 0;
   display: block;
   left: 0;
+  box-sizing: border-box;
   padding: 150px 10px 0;
   position: absolute;
   right: 0;
@@ -36,7 +167,7 @@ thumbnail with its default link Background color */
 }
 
 .sphx-glr-thumbcontainer p {
-  margin: 0 0 .1em 0;
+  margin: 0 0 0.1em 0;
 }
 .sphx-glr-thumbcontainer .figure {
   margin: 10px;
@@ -48,49 +179,56 @@ thumbnail with its default link Background color */
   max-width: 160px;
 }
 .sphx-glr-thumbcontainer[tooltip]:hover:after {
-  background: rgba(0, 0, 0, 0.8);
-  -webkit-border-radius: 5px;
-  -moz-border-radius: 5px;
-  border-radius: 5px;
-  color: #fff;
+  background: var(--sg-tooltip-background);
+  -webkit-border-radius: 4px;
+  -moz-border-radius: 4px;
+  border-radius: 4px;
+  color: var(--sg-tooltip-foreground);
   content: attr(tooltip);
-  left: 95%;
-  padding: 5px 15px;
-  position: absolute;
+  padding: 10px;
   z-index: 98;
-  width: 220px;
-  bottom: 52%;
-}
-.sphx-glr-thumbcontainer[tooltip]:hover:before {
-  border: solid;
-  border-color: #333 transparent;
-  border-width: 18px 0 0 20px;
-  bottom: 58%;
-  content: '';
-  left: 85%;
+  width: 100%;
+  height: 100%;
   position: absolute;
-  z-index: 99;
+  pointer-events: none;
+  top: 0;
+  box-sizing: border-box;
+  overflow: hidden;
+  backdrop-filter: blur(3px);
 }
 
 .sphx-glr-script-out {
-  color: #888;
-  margin: 0;
-}
-p.sphx-glr-script-out {
-    padding-top: 0.7em;
+  color: var(--sg-script-out);
+  display: flex;
+  gap: 0.5em;
+}
+.sphx-glr-script-out::before {
+  content: "Out:";
+  /* These numbers come from the pre style in the pydata sphinx theme. This
+   * turns out to match perfectly on the rtd theme, but be a bit too low for
+   * the pydata sphinx theme. As I could not find a dimension to use that was
+   * scaled the same way, I just picked one option that worked pretty close for
+   * both. */
+  line-height: 1.4;
+  padding-top: 10px;
 }
 .sphx-glr-script-out .highlight {
   background-color: transparent;
-  margin-left: 2.5em;
-  margin-top: -2.1em;
+  /* These options make the div expand... */
+  flex-grow: 1;
+  /* ... but also keep it from overflowing its flex container. */
+  overflow: auto;
 }
 .sphx-glr-script-out .highlight pre {
-  background-color: #fafae2;
+  background-color: var(--sg-script-pre);
   border: 0;
   max-height: 30em;
   overflow: auto;
   padding-left: 1ex;
-  margin: 0px;
+  /* This margin is necessary in the pydata sphinx theme because pre has a box
+   * shadow which would be clipped by the overflow:auto in the parent div
+   * above. */
+  margin: 2px;
   word-break: break-word;
 }
 .sphx-glr-script-out + p {
@@ -100,15 +238,15 @@ blockquote.sphx-glr-script-out {
   margin-left: 0pt;
 }
 .sphx-glr-script-out.highlight-pytb .highlight pre {
-  color: #000;
-  background-color: #ffe4e4;
-  border: 1px solid #f66;
+  color: var(--sg-pytb-foreground);
+  background-color: var(--sg-pytb-background);
+  border: 1px solid var(--sg-pytb-border-color);
   margin-top: 10px;
   padding: 7px;
 }
 
 div.sphx-glr-footer {
-    text-align: center;
+  text-align: center;
 }
 
 div.sphx-glr-download {
@@ -117,11 +255,11 @@ div.sphx-glr-download {
 }
 
 div.sphx-glr-download a {
-  background-color: #ffc;
-  background-image: linear-gradient(to bottom, #FFC, #d5d57e);
+  background-color: var(--sg-download-a-background-color);
+  background-image: var(--sg-download-a-background-image);
   border-radius: 4px;
-  border: 1px solid #c2c22d;
-  color: #000;
+  border: 1px solid var(--sg-download-a-border-color);
+  color: var(--sg-download-a-color);
   display: inline-block;
   font-weight: bold;
   padding: 1ex;
@@ -139,10 +277,10 @@ div.sphx-glr-download code.download {
 }
 
 div.sphx-glr-download a:hover {
-  box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 5px rgba(0,0,0,.25);
+  box-shadow: inset 0 1px 0 var(--sg-download-a-hover-box-shadow-1), 0 1px 5px var(--sg-download-a-hover-box-shadow-2);
   text-decoration: none;
   background-image: none;
-  background-color: #d5d57e;
+  background-color: var(--sg-download-a-hover-background-color);
 }
 
 .sphx-glr-example-title:target::before {
@@ -180,7 +318,7 @@ div.sphx-glr-animation {
   display: block;
   max-width: 100%;
 }
-div.sphx-glr-animation .animation{
+div.sphx-glr-animation .animation {
   display: block;
 }
 
@@ -195,7 +333,7 @@ p.sphx-glr-signature a.reference.external {
   display: table;
 }
 
-.sphx-glr-clear{
+.sphx-glr-clear {
   clear: both;
 }
 
diff --git a/dev/_static/sphinx_highlight.js b/dev/_static/sphinx_highlight.js
new file mode 100644
index 000000000..8a96c69a1
--- /dev/null
+++ b/dev/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/dev/_static/styles/bootstrap.css b/dev/_static/styles/bootstrap.css
new file mode 100644
index 000000000..82b03c0cd
--- /dev/null
+++ b/dev/_static/styles/bootstrap.css
@@ -0,0 +1,6 @@
+/*!
+ * Bootstrap  v5.3.2 (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-pink:#d63384;--bs-red:#dc3545;--bs-orange:#fd7e14;--bs-yellow:#ffc107;--bs-green:#198754;--bs-teal:#20c997;--bs-cyan:#0dcaf0;--bs-black:#000;--bs-white:#fff;--bs-gray:#6c757d;--bs-gray-dark:#343a40;--bs-gray-100:#f8f9fa;--bs-gray-200:#e9ecef;--bs-gray-300:#dee2e6;--bs-gray-400:#ced4da;--bs-gray-500:#adb5bd;--bs-gray-600:#6c757d;--bs-gray-700:#495057;--bs-gray-800:#343a40;--bs-gray-900:#212529;--bs-primary:#0d6efd;--bs-secondary:#6c757d;--bs-success:#198754;--bs-info:#0dcaf0;--bs-warning:#ffc107;--bs-danger:#dc3545;--bs-light:#f8f9fa;--bs-dark:#212529;--bs-primary-rgb:13,110,253;--bs-secondary-rgb:108,117,125;--bs-success-rgb:25,135,84;--bs-info-rgb:13,202,240;--bs-warning-rgb:255,193,7;--bs-danger-rgb:220,53,69;--bs-light-rgb:248,249,250;--bs-dark-rgb:33,37,41;--bs-primary-text-emphasis:#052c65;--bs-secondary-text-emphasis:#2b2f32;--bs-success-text-emphasis:#0a3622;--bs-info-text-emphasis:#055160;--bs-warning-text-emphasis:#664d03;--bs-danger-text-emphasis:#58151c;--bs-light-text-emphasis:#495057;--bs-dark-text-emphasis:#495057;--bs-primary-bg-subtle:#cfe2ff;--bs-secondary-bg-subtle:#e2e3e5;--bs-success-bg-subtle:#d1e7dd;--bs-info-bg-subtle:#cff4fc;--bs-warning-bg-subtle:#fff3cd;--bs-danger-bg-subtle:#f8d7da;--bs-light-bg-subtle:#fcfcfd;--bs-dark-bg-subtle:#ced4da;--bs-primary-border-subtle:#9ec5fe;--bs-secondary-border-subtle:#c4c8cb;--bs-success-border-subtle:#a3cfbb;--bs-info-border-subtle:#9eeaf9;--bs-warning-border-subtle:#ffe69c;--bs-danger-border-subtle:#f1aeb5;--bs-light-border-subtle:#e9ecef;--bs-dark-border-subtle:#adb5bd;--bs-white-rgb:255,255,255;--bs-black-rgb:0,0,0;--bs-font-sans-serif:system-ui,-apple-system,"Segoe 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var(--bs-accordion-border-color);color:var(--bs-accordion-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-left-radius:var(--bs-accordion-border-radius);border-bottom-right-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-left-radius:var(--bs-accordion-inner-border-radius);border-bottom-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-left-radius:var(--bs-accordion-border-radius);border-bottom-right-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-left:0;border-radius:0;border-right:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button:after{--bs-accordion-btn-icon:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3E%3Cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3E%3C/svg%3E");--bs-accordion-btn-active-icon:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3E%3Cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3E%3C/svg%3E")}.breadcrumb{--bs-breadcrumb-padding-x:0;--bs-breadcrumb-padding-y:0;--bs-breadcrumb-margin-bottom:1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color:var(--bs-secondary-color);--bs-breadcrumb-item-padding-x:0.5rem;--bs-breadcrumb-item-active-color:var(--bs-secondary-color);background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius);display:flex;flex-wrap:wrap;font-size:var(--bs-breadcrumb-font-size);list-style:none;margin-bottom:var(--bs-breadcrumb-margin-bottom);padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:var(--bs-body-bg);--bs-pagination-border-width:var(--bs-border-width);--bs-pagination-border-color:var(--bs-border-color);--bs-pagination-border-radius:var(--bs-border-radius);--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:var(--bs-tertiary-bg);--bs-pagination-hover-border-color:var(--bs-border-color);--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:var(--bs-secondary-bg);--bs-pagination-focus-box-shadow:0 0 0 0.25rem rgba(13,110,253,.25);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:var(--bs-secondary-color);--bs-pagination-disabled-bg:var(--bs-secondary-bg);--bs-pagination-disabled-border-color:var(--bs-border-color);display:flex;list-style:none;padding-left:0}.page-link{background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);color:var(--bs-pagination-color);display:block;font-size:var(--bs-pagination-font-size);padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);position:relative;text-decoration:none;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion:reduce){.page-link{transition:none}}.page-link:hover{background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color);color:var(--bs-pagination-hover-color);z-index:2}.page-link:focus{background-color:var(--bs-pagination-focus-bg);box-shadow:var(--bs-pagination-focus-box-shadow);color:var(--bs-pagination-focus-color);outline:0;z-index:3}.active>.page-link,.page-link.active{background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color);color:var(--bs-pagination-active-color);z-index:3}.disabled>.page-link,.page-link.disabled{background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color);color:var(--bs-pagination-disabled-color);pointer-events:none}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width)*-1)}.page-item:first-child .page-link{border-bottom-left-radius:var(--bs-pagination-border-radius);border-top-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-bottom-right-radius:var(--bs-pagination-border-radius);border-top-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x:1.5rem;--bs-pagination-padding-y:0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius:var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x:0.5rem;--bs-pagination-padding-y:0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius:var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x:0.65em;--bs-badge-padding-y:0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight:700;--bs-badge-color:#fff;--bs-badge-border-radius:var(--bs-border-radius);border-radius:var(--bs-badge-border-radius);color:var(--bs-badge-color);display:inline-block;font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);text-align:center;vertical-align:baseline;white-space:nowrap}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius:var(--bs-border-radius);--bs-alert-link-color:inherit;background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius);color:var(--bs-alert-color);margin-bottom:var(--bs-alert-margin-bottom);padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);position:relative}.alert-heading{color:inherit}.alert-link{color:var(--bs-alert-link-color);font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{padding:1.25rem 1rem;position:absolute;right:0;top:0;z-index:2}.alert-primary{--bs-alert-color:var(--bs-primary-text-emphasis);--bs-alert-bg:var(--bs-primary-bg-subtle);--bs-alert-border-color:var(--bs-primary-border-subtle);--bs-alert-link-color:var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color:var(--bs-secondary-text-emphasis);--bs-alert-bg:var(--bs-secondary-bg-subtle);--bs-alert-border-color:var(--bs-secondary-border-subtle);--bs-alert-link-color:var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color:var(--bs-success-text-emphasis);--bs-alert-bg:var(--bs-success-bg-subtle);--bs-alert-border-color:var(--bs-success-border-subtle);--bs-alert-link-color:var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color:var(--bs-info-text-emphasis);--bs-alert-bg:var(--bs-info-bg-subtle);--bs-alert-border-color:var(--bs-info-border-subtle);--bs-alert-link-color:var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color:var(--bs-warning-text-emphasis);--bs-alert-bg:var(--bs-warning-bg-subtle);--bs-alert-border-color:var(--bs-warning-border-subtle);--bs-alert-link-color:var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color:var(--bs-danger-text-emphasis);--bs-alert-bg:var(--bs-danger-bg-subtle);--bs-alert-border-color:var(--bs-danger-border-subtle);--bs-alert-link-color:var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color:var(--bs-light-text-emphasis);--bs-alert-bg:var(--bs-light-bg-subtle);--bs-alert-border-color:var(--bs-light-border-subtle);--bs-alert-link-color:var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color:var(--bs-dark-text-emphasis);--bs-alert-bg:var(--bs-dark-bg-subtle);--bs-alert-border-color:var(--bs-dark-border-subtle);--bs-alert-link-color:var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height:1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg:var(--bs-secondary-bg);--bs-progress-border-radius:var(--bs-border-radius);--bs-progress-box-shadow:var(--bs-box-shadow-inset);--bs-progress-bar-color:#fff;--bs-progress-bar-bg:#0d6efd;--bs-progress-bar-transition:width 0.6s ease;background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius);display:flex;font-size:var(--bs-progress-font-size);height:var(--bs-progress-height);overflow:hidden}.progress-bar{background-color:var(--bs-progress-bar-bg);color:var(--bs-progress-bar-color);display:flex;flex-direction:column;justify-content:center;overflow:hidden;text-align:center;transition:var(--bs-progress-bar-transition);white-space:nowrap}@media(prefers-reduced-motion:reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg,hsla(0,0%,100%,.15) 25%,transparent 0,transparent 50%,hsla(0,0%,100%,.15) 0,hsla(0,0%,100%,.15) 75%,transparent 0,transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:progress-bar-stripes 1s linear infinite}@media(prefers-reduced-motion:reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color:var(--bs-body-color);--bs-list-group-bg:var(--bs-body-bg);--bs-list-group-border-color:var(--bs-border-color);--bs-list-group-border-width:var(--bs-border-width);--bs-list-group-border-radius:var(--bs-border-radius);--bs-list-group-item-padding-x:1rem;--bs-list-group-item-padding-y:0.5rem;--bs-list-group-action-color:var(--bs-secondary-color);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-tertiary-bg);--bs-list-group-action-active-color:var(--bs-body-color);--bs-list-group-action-active-bg:var(--bs-secondary-bg);--bs-list-group-disabled-color:var(--bs-secondary-color);--bs-list-group-disabled-bg:var(--bs-body-bg);--bs-list-group-active-color:#fff;--bs-list-group-active-bg:#0d6efd;--bs-list-group-active-border-color:#0d6efd;border-radius:var(--bs-list-group-border-radius);display:flex;flex-direction:column;margin-bottom:0;padding-left:0}.list-group-numbered{counter-reset:section;list-style-type:none}.list-group-numbered>.list-group-item:before{content:counters(section,".") ". ";counter-increment:section}.list-group-item-action{color:var(--bs-list-group-action-color);text-align:inherit;width:100%}.list-group-item-action:focus,.list-group-item-action:hover{background-color:var(--bs-list-group-action-hover-bg);color:var(--bs-list-group-action-hover-color);text-decoration:none;z-index:1}.list-group-item-action:active{background-color:var(--bs-list-group-action-active-bg);color:var(--bs-list-group-action-active-color)}.list-group-item{background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color);color:var(--bs-list-group-color);display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);position:relative;text-decoration:none}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-left-radius:inherit;border-bottom-right-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{background-color:var(--bs-list-group-disabled-bg);color:var(--bs-list-group-disabled-color);pointer-events:none}.list-group-item.active{background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color);color:var(--bs-list-group-active-color);z-index:2}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{border-top-width:var(--bs-list-group-border-width);margin-top:calc(var(--bs-list-group-border-width)*-1)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}@media(min-width:540px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:720px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-md>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.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0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:rgba(0,0,0,0)}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:0.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: var(--pst-color-surface);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: var(--pst-color-surface);--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;flex-wrap:wrap;justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width)*-1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n+3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;align-items:flex-start;justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width)*-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: 0.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: 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1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25rem;--bs-navbar-toggler-padding-x: 0.75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgba(255, 255, 255, 0.55);--bs-navbar-hover-color: rgba(255, 255, 255, 0.75);--bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);--bs-navbar-active-color: #fff;--bs-navbar-brand-color: #fff;--bs-navbar-brand-hover-color: #fff;--bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-bottom:calc(-1*var(--bs-card-cap-padding-y));margin-left:calc(-0.5*var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 540px){.card-group{display:flex;flex-flow:row wrap}.card-group>.card{flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:\"\";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, \"/\") /* rtl: var(--bs-breadcrumb-divider, \"/\") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width)*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 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960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e\");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto 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calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static 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!important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media(min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media(min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}","@mixin bsBanner($file) {\n  /*!\n   * Bootstrap #{$file} v5.3.2 (https://getbootstrap.com/)\n   * Copyright 2011-2023 The Bootstrap Authors\n   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n   */\n}\n",":root,\n[data-bs-theme=\"light\"] {\n  // Note: Custom variable values only support SassScript inside `#{}`.\n\n  // Colors\n  //\n  // Generate palettes for full colors, grays, and theme colors.\n\n  @each $color, $value in $colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $grays {\n    --#{$prefix}gray-#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-rgb {\n    --#{$prefix}#{$color}-rgb: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-text {\n    --#{$prefix}#{$color}-text-emphasis: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-bg-subtle {\n    --#{$prefix}#{$color}-bg-subtle: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-border-subtle {\n    --#{$prefix}#{$color}-border-subtle: #{$value};\n  }\n\n  --#{$prefix}white-rgb: #{to-rgb($white)};\n  --#{$prefix}black-rgb: #{to-rgb($black)};\n\n  // Fonts\n\n  // Note: Use `inspect` for lists so that quoted items keep the quotes.\n  // See https://github.com/sass/sass/issues/2383#issuecomment-336349172\n  --#{$prefix}font-sans-serif: #{inspect($font-family-sans-serif)};\n  --#{$prefix}font-monospace: #{inspect($font-family-monospace)};\n  --#{$prefix}gradient: #{$gradient};\n\n  // Root and body\n  // scss-docs-start root-body-variables\n  @if $font-size-root != null {\n    --#{$prefix}root-font-size: #{$font-size-root};\n  }\n  --#{$prefix}body-font-family: #{inspect($font-family-base)};\n  @include rfs($font-size-base, --#{$prefix}body-font-size);\n  --#{$prefix}body-font-weight: #{$font-weight-base};\n  --#{$prefix}body-line-height: #{$line-height-base};\n  @if $body-text-align != null {\n    --#{$prefix}body-text-align: #{$body-text-align};\n  }\n\n  --#{$prefix}body-color: #{$body-color};\n  --#{$prefix}body-color-rgb: #{to-rgb($body-color)};\n  --#{$prefix}body-bg: #{$body-bg};\n  --#{$prefix}body-bg-rgb: #{to-rgb($body-bg)};\n\n  --#{$prefix}emphasis-color: #{$body-emphasis-color};\n  --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color)};\n\n  --#{$prefix}secondary-color: #{$body-secondary-color};\n  --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color)};\n  --#{$prefix}secondary-bg: #{$body-secondary-bg};\n  --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg)};\n\n  --#{$prefix}tertiary-color: #{$body-tertiary-color};\n  --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color)};\n  --#{$prefix}tertiary-bg: #{$body-tertiary-bg};\n  --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg)};\n  // scss-docs-end root-body-variables\n\n  --#{$prefix}heading-color: #{$headings-color};\n\n  --#{$prefix}link-color: #{$link-color};\n  --#{$prefix}link-color-rgb: #{to-rgb($link-color)};\n  --#{$prefix}link-decoration: #{$link-decoration};\n\n  --#{$prefix}link-hover-color: #{$link-hover-color};\n  --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color)};\n\n  @if $link-hover-decoration != null {\n    --#{$prefix}link-hover-decoration: #{$link-hover-decoration};\n  }\n\n  --#{$prefix}code-color: #{$code-color};\n  --#{$prefix}highlight-color: #{$mark-color};\n  --#{$prefix}highlight-bg: #{$mark-bg};\n\n  // scss-docs-start root-border-var\n  --#{$prefix}border-width: #{$border-width};\n  --#{$prefix}border-style: #{$border-style};\n  --#{$prefix}border-color: #{$border-color};\n  --#{$prefix}border-color-translucent: #{$border-color-translucent};\n\n  --#{$prefix}border-radius: #{$border-radius};\n  --#{$prefix}border-radius-sm: #{$border-radius-sm};\n  --#{$prefix}border-radius-lg: #{$border-radius-lg};\n  --#{$prefix}border-radius-xl: #{$border-radius-xl};\n  --#{$prefix}border-radius-xxl: #{$border-radius-xxl};\n  --#{$prefix}border-radius-2xl: var(--#{$prefix}border-radius-xxl); // Deprecated in v5.3.0 for consistency\n  --#{$prefix}border-radius-pill: #{$border-radius-pill};\n  // scss-docs-end root-border-var\n\n  --#{$prefix}box-shadow: #{$box-shadow};\n  --#{$prefix}box-shadow-sm: #{$box-shadow-sm};\n  --#{$prefix}box-shadow-lg: #{$box-shadow-lg};\n  --#{$prefix}box-shadow-inset: #{$box-shadow-inset};\n\n  // Focus styles\n  // scss-docs-start root-focus-variables\n  --#{$prefix}focus-ring-width: #{$focus-ring-width};\n  --#{$prefix}focus-ring-opacity: #{$focus-ring-opacity};\n  --#{$prefix}focus-ring-color: #{$focus-ring-color};\n  // scss-docs-end root-focus-variables\n\n  // scss-docs-start root-form-validation-variables\n  --#{$prefix}form-valid-color: #{$form-valid-color};\n  --#{$prefix}form-valid-border-color: #{$form-valid-border-color};\n  --#{$prefix}form-invalid-color: #{$form-invalid-color};\n  --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color};\n  // scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color-dark)};\n\n    --#{$prefix}secondary-color: #{$body-secondary-color-dark};\n    --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color-dark)};\n    --#{$prefix}secondary-bg: #{$body-secondary-bg-dark};\n    --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg-dark)};\n\n    --#{$prefix}tertiary-color: #{$body-tertiary-color-dark};\n    --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color-dark)};\n    --#{$prefix}tertiary-bg: #{$body-tertiary-bg-dark};\n    --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg-dark)};\n\n    @each $color, $value in $theme-colors-text-dark {\n      --#{$prefix}#{$color}-text-emphasis: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-bg-subtle-dark {\n      --#{$prefix}#{$color}-bg-subtle: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-border-subtle-dark {\n      --#{$prefix}#{$color}-border-subtle: #{$value};\n    }\n\n    --#{$prefix}heading-color: #{$headings-color-dark};\n\n    --#{$prefix}link-color: #{$link-color-dark};\n    --#{$prefix}link-hover-color: #{$link-hover-color-dark};\n    --#{$prefix}link-color-rgb: #{to-rgb($link-color-dark)};\n    --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color-dark)};\n\n    --#{$prefix}code-color: #{$code-color-dark};\n    --#{$prefix}highlight-color: #{$mark-color-dark};\n    --#{$prefix}highlight-bg: #{$mark-bg-dark};\n\n    --#{$prefix}border-color: #{$border-color-dark};\n    --#{$prefix}border-color-translucent: #{$border-color-translucent-dark};\n\n    --#{$prefix}form-valid-color: #{$form-valid-color-dark};\n    --#{$prefix}form-valid-border-color: #{$form-valid-border-color-dark};\n    --#{$prefix}form-invalid-color: #{$form-invalid-color-dark};\n    --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color-dark};\n    // scss-docs-end root-dark-mode-vars\n  }\n}\n","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit != px {\n  @error \"`#{$rfs-unit}` is not a valid unit for $rfs-unit. Use `px` or `rem`.\";\n}\n\n// Breakpoint at where values start decreasing if screen width is smaller\n$rfs-breakpoint: 1200px !default;\n$rfs-breakpoint-unit: px !default;\n\n@if $rfs-breakpoint-unit != px and $rfs-breakpoint-unit != em and $rfs-breakpoint-unit != rem {\n  @error \"`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize values based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != number or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Mode. Possibilities: \"min-media-query\", \"max-media-query\"\n$rfs-mode: min-media-query !default;\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-rfs to false\n$enable-rfs: true !default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient: 0;\n    @while ($remainder >= $divisor) {\n      $remainder: $remainder - $divisor;\n      $quotient: $quotient + 1;\n    }\n    $result: $result * 10 + $quotient;\n    $factor: $factor * .1;\n    $remainder: $remainder * 10;\n    $precision: $precision - 1;\n    @if ($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for calculations\n@if $rfs-base-value-unit == px {\n  $rfs-base-value: divide($rfs-base-value, $rfs-base-value * 0 + 1);\n}\n@else if $rfs-base-value-unit == rem {\n  $rfs-base-value: divide($rfs-base-value, divide($rfs-base-value * 0 + 1, $rfs-rem-value));\n}\n\n// Cache $rfs-breakpoint unit to prevent multiple calls\n$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);\n\n// Remove unit from $rfs-breakpoint for calculations\n@if $rfs-breakpoint-unit-cache == px {\n  $rfs-breakpoint: divide($rfs-breakpoint, $rfs-breakpoint * 0 + 1);\n}\n@else if $rfs-breakpoint-unit-cache == rem or $rfs-breakpoint-unit-cache == \"em\" {\n  $rfs-breakpoint: divide($rfs-breakpoint, divide($rfs-breakpoint * 0 + 1, $rfs-rem-value));\n}\n\n// Calculate the media query value\n$rfs-mq-value: if($rfs-breakpoint-unit == px, #{$rfs-breakpoint}px, #{divide($rfs-breakpoint, $rfs-rem-value)}#{$rfs-breakpoint-unit});\n$rfs-mq-property-width: if($rfs-mode == max-media-query, max-width, min-width);\n$rfs-mq-property-height: if($rfs-mode == max-media-query, max-height, min-height);\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs-media-query {\n  @if $rfs-two-dimensional {\n    @if $rfs-mode == max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin _rfs-rule {\n  @if $rfs-class == disable and $rfs-mode == max-media-query {\n    // Adding an extra class increases specificity, which prevents the media query to override the property\n    &,\n    .disable-rfs &,\n    &.disable-rfs {\n      @content;\n    }\n  }\n  @else if $rfs-class == enable and $rfs-mode == min-media-query {\n    .enable-rfs &,\n    &.enable-rfs {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-media-query-rule {\n\n  @if $rfs-class == enable {\n    @if $rfs-mode == min-media-query {\n      @content;\n    }\n\n    @include _rfs-media-query () {\n      .enable-rfs &,\n      &.enable-rfs {\n        @content;\n      }\n    }\n  }\n  @else {\n    @if $rfs-class == disable and $rfs-mode == min-media-query {\n      .disable-rfs &,\n      &.disable-rfs {\n        @content;\n      }\n    }\n    @include _rfs-media-query () {\n      @content;\n    }\n  }\n}\n\n// Helper function to get the formatted non-responsive value\n@function rfs-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    }\n    @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      @if $unit == px {\n        // Convert to rem if needed\n        $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $value * 0 + $rfs-rem-value)}rem, $value);\n      }\n      @else if $unit == rem {\n        // Convert to px if needed\n        $val: $val + \" \" + if($rfs-unit == px, #{divide($value, $value * 0 + 1) * $rfs-rem-value}px, $value);\n      } @else {\n        // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n        $val: $val + \" \" + $value;\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// Helper function to get the responsive value calculated by RFS\n@function rfs-fluid-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    } @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n      @if not $unit or $unit != px and $unit != rem {\n        $val: $val + \" \" + $value;\n      } @else {\n        // Remove unit from $value for calculations\n        $value: divide($value, $value * 0 + if($unit == px, 1, divide(1, $rfs-rem-value)));\n\n        // Only add the media query if the value is greater than the minimum value\n        @if abs($value) <= $rfs-base-value or not $enable-rfs {\n          $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $rfs-rem-value)}rem, #{$value}px);\n        }\n        @else {\n          // Calculate the minimum value\n          $value-min: $rfs-base-value + divide(abs($value) - $rfs-base-value, $rfs-factor);\n\n          // Calculate difference between $value and the minimum value\n          $value-diff: abs($value) - $value-min;\n\n          // Base value formatting\n          $min-width: if($rfs-unit == rem, #{divide($value-min, $rfs-rem-value)}rem, #{$value-min}px);\n\n          // Use negative value if needed\n          $min-width: if($value < 0, -$min-width, $min-width);\n\n          // Use `vmin` if two-dimensional is enabled\n          $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n          // Calculate the variable width between 0 and $rfs-breakpoint\n          $variable-width: #{divide($value-diff * 100, $rfs-breakpoint)}#{$variable-unit};\n\n          // Return the calculated value\n          $val: $val + \" calc(\" + $min-width + if($value < 0, \" - \", \" + \") + $variable-width + \")\";\n        }\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// RFS mixin\n@mixin rfs($values, $property: font-size) {\n  @if $values != null {\n    $val: rfs-value($values);\n    $fluid-val: rfs-fluid-value($values);\n\n    // Do not print the media query if responsive & non-responsive values are the same\n    @if $val == $fluid-val {\n      #{$property}: $val;\n    }\n    @else {\n      @include _rfs-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $val, $fluid-val);\n\n        // Include safari iframe resize fix if needed\n        min-width: if($rfs-safari-iframe-resize-bug-fix, (0 * 1vw), null);\n      }\n\n      @include _rfs-media-query-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $fluid-val, $val);\n      }\n    }\n  }\n}\n\n// Shorthand helper mixins\n@mixin font-size($value) {\n  @include rfs($value);\n}\n\n@mixin padding($value) {\n  @include rfs($value, padding);\n}\n\n@mixin padding-top($value) {\n  @include rfs($value, padding-top);\n}\n\n@mixin padding-right($value) {\n  @include rfs($value, padding-right);\n}\n\n@mixin padding-bottom($value) {\n  @include rfs($value, padding-bottom);\n}\n\n@mixin padding-left($value) {\n  @include rfs($value, padding-left);\n}\n\n@mixin margin($value) {\n  @include rfs($value, margin);\n}\n\n@mixin margin-top($value) {\n  @include rfs($value, margin-top);\n}\n\n@mixin margin-right($value) {\n  @include rfs($value, margin-right);\n}\n\n@mixin margin-bottom($value) {\n  @include rfs($value, margin-bottom);\n}\n\n@mixin margin-left($value) {\n  @include rfs($value, margin-left);\n}\n","// scss-docs-start color-mode-mixin\n@mixin color-mode($mode: light, $root: false) {\n  @if $color-mode-type == \"media-query\" {\n    @if $root == true {\n      @media (prefers-color-scheme: $mode) {\n        :root {\n          @content;\n        }\n      }\n    } @else {\n      @media (prefers-color-scheme: $mode) {\n        @content;\n      }\n    }\n  } @else {\n    [data-bs-theme=\"#{$mode}\"] {\n      @content;\n    }\n  }\n}\n// scss-docs-end color-mode-mixin\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// Change from `box-sizing: content-box` so that `width` is not affected by `padding` or `border`.\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n\n// Root\n//\n// Ability to the value of the root font sizes, affecting the value of `rem`.\n// null by default, thus nothing is generated.\n\n:root {\n  @if $font-size-root != null {\n    @include font-size(var(--#{$prefix}root-font-size));\n  }\n\n  @if $enable-smooth-scroll {\n    @media (prefers-reduced-motion: no-preference) {\n      scroll-behavior: smooth;\n    }\n  }\n}\n\n\n// Body\n//\n// 1. Remove the margin in all browsers.\n// 2. As a best practice, apply a default `background-color`.\n// 3. Prevent adjustments of font size after orientation changes in iOS.\n// 4. Change the default tap highlight to be completely transparent in iOS.\n\n// scss-docs-start reboot-body-rules\nbody {\n  margin: 0; // 1\n  font-family: var(--#{$prefix}body-font-family);\n  @include font-size(var(--#{$prefix}body-font-size));\n  font-weight: var(--#{$prefix}body-font-weight);\n  line-height: var(--#{$prefix}body-line-height);\n  color: var(--#{$prefix}body-color);\n  text-align: var(--#{$prefix}body-text-align);\n  background-color: var(--#{$prefix}body-bg); // 2\n  -webkit-text-size-adjust: 100%; // 3\n  -webkit-tap-highlight-color: rgba($black, 0); // 4\n}\n// scss-docs-end reboot-body-rules\n\n\n// Content grouping\n//\n// 1. Reset Firefox's gray color\n\nhr {\n  margin: $hr-margin-y 0;\n  color: $hr-color; // 1\n  border: 0;\n  border-top: $hr-border-width solid $hr-border-color;\n  opacity: $hr-opacity;\n}\n\n\n// Typography\n//\n// 1. Remove top margins from headings\n//    By default, `<h1>`-`<h6>` all receive top and bottom margins. We nuke the top\n//    margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n  margin-top: 0; // 1\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-style: $headings-font-style;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: var(--#{$prefix}heading-color);\n}\n\nh1 {\n  @extend %heading;\n  @include font-size($h1-font-size);\n}\n\nh2 {\n  @extend %heading;\n  @include font-size($h2-font-size);\n}\n\nh3 {\n  @extend %heading;\n  @include font-size($h3-font-size);\n}\n\nh4 {\n  @extend %heading;\n  @include font-size($h4-font-size);\n}\n\nh5 {\n  @extend %heading;\n  @include font-size($h5-font-size);\n}\n\nh6 {\n  @extend %heading;\n  @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 2. Add explicit cursor to indicate changed behavior.\n// 3. Prevent the text-decoration to be skipped.\n\nabbr[title] {\n  text-decoration: underline dotted; // 1\n  cursor: help; // 2\n  text-decoration-skip-ink: none; // 3\n}\n\n\n// Address\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n  margin-bottom: .5rem;\n  margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n  font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n  @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n  padding: $mark-padding;\n  color: var(--#{$prefix}highlight-color);\n  background-color: var(--#{$prefix}highlight-bg);\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n  position: relative;\n  @include font-size($sub-sup-font-size);\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n  color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, 1));\n  text-decoration: $link-decoration;\n\n  &:hover {\n    --#{$prefix}link-color-rgb: var(--#{$prefix}link-hover-color-rgb);\n    text-decoration: $link-hover-decoration;\n  }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n  &,\n  &:hover {\n    color: inherit;\n    text-decoration: none;\n  }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: $font-family-code;\n  @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n  display: block;\n  margin-top: 0; // 1\n  margin-bottom: 1rem; // 2\n  overflow: auto; // 3\n  @include font-size($code-font-size);\n  color: $pre-color;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    @include font-size(inherit);\n    color: inherit;\n    word-break: normal;\n  }\n}\n\ncode {\n  @include font-size($code-font-size);\n  color: var(--#{$prefix}code-color);\n  word-wrap: break-word;\n\n  // Streamline the style when inside anchors to avoid broken underline and more\n  a > & {\n    color: inherit;\n  }\n}\n\nkbd {\n  padding: $kbd-padding-y $kbd-padding-x;\n  @include font-size($kbd-font-size);\n  color: $kbd-color;\n  background-color: $kbd-bg;\n  @include border-radius($border-radius-sm);\n\n  kbd {\n    padding: 0;\n    @include font-size(1em);\n    font-weight: $nested-kbd-font-weight;\n  }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n  margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: $table-cell-padding-y;\n  padding-bottom: $table-cell-padding-y;\n  color: $table-caption-color;\n  text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `<td>` alignment by inheriting `text-align`.\n// 3. Fix alignment for Safari\n\nth {\n  font-weight: $table-th-font-weight; // 1\n  text-align: inherit; // 2\n  text-align: -webkit-match-parent; // 3\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\n\n// Forms\n//\n// 1. Allow labels to use `margin` for spacing.\n\nlabel {\n  display: inline-block; // 1\n}\n\n// Remove the default `border-radius` that macOS Chrome adds.\n// See https://github.com/twbs/bootstrap/issues/24093\n\nbutton {\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 0;\n}\n\n// Explicitly remove focus outline in Chromium when it shouldn't be\n// visible (e.g. as result of mouse click or touch tap). It already\n// should be doing this automatically, but seems to currently be\n// confused and applies its very visible two-tone outline anyway.\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\n// 1. Remove the margin in Firefox and Safari\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0; // 1\n  font-family: inherit;\n  @include font-size(inherit);\n  line-height: inherit;\n}\n\n// Remove the inheritance of text transform in Firefox\nbutton,\nselect {\n  text-transform: none;\n}\n// Set the cursor for non-`<button>` buttons\n//\n// Details at https://github.com/twbs/bootstrap/pull/30562\n[role=\"button\"] {\n  cursor: pointer;\n}\n\nselect {\n  // Remove the inheritance of word-wrap in Safari.\n  // See https://github.com/twbs/bootstrap/issues/24990\n  word-wrap: normal;\n\n  // Undo the opacity change from Chrome\n  &:disabled {\n    opacity: 1;\n  }\n}\n\n// Remove the dropdown arrow only from text type inputs built with datalists in Chrome.\n// See https://stackoverflow.com/a/54997118\n\n[list]:not([type=\"date\"]):not([type=\"datetime-local\"]):not([type=\"month\"]):not([type=\"week\"]):not([type=\"time\"])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\n// 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`\n//    controls in Android 4.\n// 2. Correct the inability to style clickable types in iOS and Safari.\n// 3. Opinionated: add \"hand\" cursor to non-disabled button elements.\n\nbutton,\n[type=\"button\"], // 1\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n\n  @if $enable-button-pointers {\n    &:not(:disabled) {\n      cursor: pointer; // 3\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\n// 1. Textareas should really only resize vertically so they don't break their (horizontal) containers.\n\ntextarea {\n  resize: vertical; // 1\n}\n\n// 1. Browsers set a default `min-width: min-content;` on fieldsets,\n//    unlike e.g. `<div>`s, which have `min-width: 0;` by default.\n//    So we reset that to ensure fieldsets behave more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend if present.\n// 2. Fix wrapping bug.\n//    See https://github.com/twbs/bootstrap/issues/29712\n\nlegend {\n  float: left; // 1\n  width: 100%;\n  padding: 0;\n  margin-bottom: $legend-margin-bottom;\n  @include font-size($legend-font-size);\n  font-weight: $legend-font-weight;\n  line-height: inherit;\n\n  + * {\n    clear: left; // 2\n  }\n}\n\n// Fix height of inputs with a type of datetime-local, date, month, week, or time\n// See https://github.com/twbs/bootstrap/issues/18842\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n// 1. This overrides the extra rounded corners on search inputs in iOS so that our\n//    `.form-control` class can properly style them. Note that this cannot simply\n//    be added to `.form-control` as it's not specific enough. For details, see\n//    https://github.com/twbs/bootstrap/issues/11586.\n// 2. Correct the outline style in Safari.\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  outline-offset: -2px; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n\n// Remove the inner padding in Chrome and Safari on macOS.\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n// Remove padding around color pickers in webkit browsers\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n\n// 1. Inherit font family and line height for file input buttons\n// 2. Correct the inability to style clickable types in iOS and Safari.\n\n::file-selector-button {\n  font: inherit; // 1\n  -webkit-appearance: button; // 2\n}\n\n// Correct element displays\n\noutput {\n  display: inline-block;\n}\n\n// Remove border from iframe\n\niframe {\n  border: 0;\n}\n\n// Summary\n//\n// 1. Add the correct display in all browsers\n\nsummary {\n  display: list-item; // 1\n  cursor: pointer;\n}\n\n\n// Progress\n//\n// Add the correct vertical alignment in Chrome, Firefox, and Opera.\n\nprogress {\n  vertical-align: baseline;\n}\n\n\n// Hidden attribute\n//\n// Always hide an element with the `hidden` HTML attribute.\n\n[hidden] {\n  display: none !important;\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","// stylelint-disable property-disallowed-list\n// Single side border-radius\n\n// Helper function to replace negative values with 0\n@function valid-radius($radius) {\n  $return: ();\n  @each $value in $radius {\n    @if type-of($value) == number {\n      $return: append($return, max($value, 0));\n    } @else {\n      $return: append($return, $value);\n    }\n  }\n  @return $return;\n}\n\n// scss-docs-start border-radius-mixins\n@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {\n  @if $enable-rounded {\n    border-radius: valid-radius($radius);\n  }\n  @else if $fallback-border-radius != false {\n    border-radius: $fallback-border-radius;\n  }\n}\n\n@mixin border-top-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n// scss-docs-end border-radius-mixins\n","//\n// Headings\n//\n.h1 {\n  @extend h1;\n}\n\n.h2 {\n  @extend h2;\n}\n\n.h3 {\n  @extend h3;\n}\n\n.h4 {\n  @extend h4;\n}\n\n.h5 {\n  @extend h5;\n}\n\n.h6 {\n  @extend h6;\n}\n\n\n.lead {\n  @include font-size($lead-font-size);\n  font-weight: $lead-font-weight;\n}\n\n// Type display classes\n@each $display, $font-size in $display-font-sizes {\n  .display-#{$display} {\n    @include font-size($font-size);\n    font-family: $display-font-family;\n    font-style: $display-font-style;\n    font-weight: $display-font-weight;\n    line-height: $display-line-height;\n  }\n}\n\n//\n// Emphasis\n//\n.small {\n  @extend small;\n}\n\n.mark {\n  @extend mark;\n}\n\n//\n// Lists\n//\n\n.list-unstyled {\n  @include list-unstyled();\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  @include list-unstyled();\n}\n.list-inline-item {\n  display: inline-block;\n\n  &:not(:last-child) {\n    margin-right: $list-inline-padding;\n  }\n}\n\n\n//\n// Misc\n//\n\n// Builds on `abbr`\n.initialism {\n  @include font-size($initialism-font-size);\n  text-transform: uppercase;\n}\n\n// Blockquotes\n.blockquote {\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-font-size);\n\n  > :last-child {\n    margin-bottom: 0;\n  }\n}\n\n.blockquote-footer {\n  margin-top: -$blockquote-margin-y;\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-footer-font-size);\n  color: $blockquote-footer-color;\n\n  &::before {\n    content: \"\\2014\\00A0\"; // em dash, nbsp\n  }\n}\n","// Lists\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n@mixin list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n","// Override bootstrap variables\n$spacer: 1rem;\n\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n\n$dropdown-link-hover-bg: var(--pst-color-surface);\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n","// Responsive images (ensure images don't scale beyond their parents)\n//\n// This is purposefully opt-in via an explicit class rather than being the default for all `<img>`s.\n// We previously tried the \"images are responsive by default\" approach in Bootstrap v2,\n// and abandoned it in Bootstrap v3 because it breaks lots of third-party widgets (including Google Maps)\n// which weren't expecting the images within themselves to be involuntarily resized.\n// See also https://github.com/twbs/bootstrap/issues/18178\n.img-fluid {\n  @include img-fluid();\n}\n\n\n// Image thumbnails\n.img-thumbnail {\n  padding: $thumbnail-padding;\n  background-color: $thumbnail-bg;\n  border: $thumbnail-border-width solid $thumbnail-border-color;\n  @include border-radius($thumbnail-border-radius);\n  @include box-shadow($thumbnail-box-shadow);\n\n  // Keep them at most 100% wide\n  @include img-fluid();\n}\n\n//\n// Figures\n//\n\n.figure {\n  // Ensures the caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2: Override the height to auto, otherwise images will be stretched\n  // when setting a width and height attribute on the img element.\n  height: auto;\n}\n","// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n@if $enable-container-classes {\n  // Single container class with breakpoint max-widths\n  .container,\n  // 100% wide container at all breakpoints\n  .container-fluid {\n    @include make-container();\n  }\n\n  // Responsive containers that are 100% wide until a breakpoint\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    .container-#{$breakpoint} {\n      @extend .container-fluid;\n    }\n\n    @include media-breakpoint-up($breakpoint, $grid-breakpoints) {\n      %responsive-container-#{$breakpoint} {\n        max-width: $container-max-width;\n      }\n\n      // Extend each breakpoint which is smaller or equal to the current breakpoint\n      $extend-breakpoint: true;\n\n      @each $name, $width in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-right: auto;\n  margin-left: auto;\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Row\n//\n// Rows contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$grid-gutter-width});\n\n    @include make-cssgrid();\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n@if $enable-grid-classes {\n  @include make-grid-columns();\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Basic Bootstrap table\n//\n\n.table {\n  // Reset needed for nesting tables\n  --#{$prefix}table-color-type: initial;\n  --#{$prefix}table-bg-type: initial;\n  --#{$prefix}table-color-state: initial;\n  --#{$prefix}table-bg-state: initial;\n  // End of reset\n  --#{$prefix}table-color: #{$table-color};\n  --#{$prefix}table-bg: #{$table-bg};\n  --#{$prefix}table-border-color: #{$table-border-color};\n  --#{$prefix}table-accent-bg: #{$table-accent-bg};\n  --#{$prefix}table-striped-color: #{$table-striped-color};\n  --#{$prefix}table-striped-bg: #{$table-striped-bg};\n  --#{$prefix}table-active-color: #{$table-active-color};\n  --#{$prefix}table-active-bg: #{$table-active-bg};\n  --#{$prefix}table-hover-color: #{$table-hover-color};\n  --#{$prefix}table-hover-bg: #{$table-hover-bg};\n\n  width: 100%;\n  margin-bottom: $spacer;\n  vertical-align: $table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y $table-cell-padding-x;\n    // Following the precept of cascades: https://codepen.io/miriamsuzanne/full/vYNgodb\n    color: var(--#{$prefix}table-color-state, var(--#{$prefix}table-color-type, var(--#{$prefix}table-color)));\n    background-color: var(--#{$prefix}table-bg);\n    border-bottom-width: $table-border-width;\n    box-shadow: inset 0 0 0 9999px var(--#{$prefix}table-bg-state, var(--#{$prefix}table-bg-type, var(--#{$prefix}table-accent-bg)));\n  }\n\n  > tbody {\n    vertical-align: inherit;\n  }\n\n  > thead {\n    vertical-align: bottom;\n  }\n}\n\n.table-group-divider {\n  border-top: calc(#{$table-border-width} * 2) solid $table-group-separator-color; // stylelint-disable-line function-disallowed-list\n}\n\n//\n// Change placement of captions with a class\n//\n\n.caption-top {\n  caption-side: top;\n}\n\n\n//\n// Condensed table w/ half padding\n//\n\n.table-sm {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y-sm $table-cell-padding-x-sm;\n  }\n}\n\n\n// Border versions\n//\n// Add or remove borders all around the table and between all the columns.\n//\n// When borders are added on all sides of the cells, the corners can render odd when\n// these borders do not have the same color or if they are semi-transparent.\n// Therefor we add top and border bottoms to the `tr`s and left and right borders\n// to the `td`s or `th`s\n\n.table-bordered {\n  > :not(caption) > * {\n    border-width: $table-border-width 0;\n\n    // stylelint-disable-next-line selector-max-universal\n    > * {\n      border-width: 0 $table-border-width;\n    }\n  }\n}\n\n.table-borderless {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    border-bottom-width: 0;\n  }\n\n  > :not(:first-child) {\n    border-top-width: 0;\n  }\n}\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n// For rows\n.table-striped {\n  > tbody > tr:nth-of-type(#{$table-striped-order}) > * {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// For columns\n.table-striped-columns {\n  > :not(caption) > tr > :nth-child(#{$table-striped-columns-order}) {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// Active table\n//\n// The `.table-active` class can be added to highlight rows or cells\n\n.table-active {\n  --#{$prefix}table-color-state: var(--#{$prefix}table-active-color);\n  --#{$prefix}table-bg-state: var(--#{$prefix}table-active-bg);\n}\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover > * {\n    --#{$prefix}table-color-state: var(--#{$prefix}table-hover-color);\n    --#{$prefix}table-bg-state: var(--#{$prefix}table-hover-bg);\n  }\n}\n\n\n// Table variants\n//\n// Table variants set the table cell backgrounds, border colors\n// and the colors of the striped, hovered & active tables\n\n@each $color, $value in $table-variants {\n  @include table-variant($color, $value);\n}\n\n// Responsive tables\n//\n// Generate series of `.table-responsive-*` classes for configuring the screen\n// size of where your table will overflow.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n  @include media-breakpoint-down($breakpoint) {\n    .table-responsive#{$infix} {\n      overflow-x: auto;\n      -webkit-overflow-scrolling: touch;\n    }\n  }\n}\n","// scss-docs-start table-variant\n@mixin table-variant($state, $background) {\n  .table-#{$state} {\n    $color: color-contrast(opaque($body-bg, $background));\n    $hover-bg: mix($color, $background, percentage($table-hover-bg-factor));\n    $striped-bg: mix($color, $background, percentage($table-striped-bg-factor));\n    $active-bg: mix($color, $background, percentage($table-active-bg-factor));\n    $table-border-color: mix($color, $background, percentage($table-border-factor));\n\n    --#{$prefix}table-color: #{$color};\n    --#{$prefix}table-bg: #{$background};\n    --#{$prefix}table-border-color: #{$table-border-color};\n    --#{$prefix}table-striped-bg: #{$striped-bg};\n    --#{$prefix}table-striped-color: #{color-contrast($striped-bg)};\n    --#{$prefix}table-active-bg: #{$active-bg};\n    --#{$prefix}table-active-color: #{color-contrast($active-bg)};\n    --#{$prefix}table-hover-bg: #{$hover-bg};\n    --#{$prefix}table-hover-color: #{color-contrast($hover-bg)};\n\n    color: var(--#{$prefix}table-color);\n    border-color: var(--#{$prefix}table-border-color);\n  }\n}\n// scss-docs-end table-variant\n","//\n// Labels\n//\n\n.form-label {\n  margin-bottom: $form-label-margin-bottom;\n  @include font-size($form-label-font-size);\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  color: $form-label-color;\n}\n\n// For use with horizontal and inline forms, when you need the label (or legend)\n// text to align with the form controls.\n.col-form-label {\n  padding-top: add($input-padding-y, $input-border-width);\n  padding-bottom: add($input-padding-y, $input-border-width);\n  margin-bottom: 0; // Override the `<legend>` default\n  @include font-size(inherit); // Override the `<legend>` default\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  line-height: $input-line-height;\n  color: $form-label-color;\n}\n\n.col-form-label-lg {\n  padding-top: add($input-padding-y-lg, $input-border-width);\n  padding-bottom: add($input-padding-y-lg, $input-border-width);\n  @include font-size($input-font-size-lg);\n}\n\n.col-form-label-sm {\n  padding-top: add($input-padding-y-sm, $input-border-width);\n  padding-bottom: add($input-padding-y-sm, $input-border-width);\n  @include font-size($input-font-size-sm);\n}\n","//\n// Form text\n//\n\n.form-text {\n  margin-top: $form-text-margin-top;\n  @include font-size($form-text-font-size);\n  font-style: $form-text-font-style;\n  font-weight: $form-text-font-weight;\n  color: $form-text-color;\n}\n","//\n// General form controls (plus a few specific high-level interventions)\n//\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y $input-padding-x;\n  font-family: $input-font-family;\n  @include font-size($input-font-size);\n  font-weight: $input-font-weight;\n  line-height: $input-line-height;\n  color: $input-color;\n  appearance: none; // Fix appearance for date inputs in Safari\n  background-color: $input-bg;\n  background-clip: padding-box;\n  border: $input-border-width solid $input-border-color;\n\n  // Note: This has no effect on <select>s in some browsers, due to the limited stylability of `<select>`s in CSS.\n  @include border-radius($input-border-radius, 0);\n\n  @include box-shadow($input-box-shadow);\n  @include transition($input-transition);\n\n  &[type=\"file\"] {\n    overflow: hidden; // prevent pseudo element button overlap\n\n    &:not(:disabled):not([readonly]) {\n      cursor: pointer;\n    }\n  }\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  &:focus {\n    color: $input-focus-color;\n    background-color: $input-focus-bg;\n    border-color: $input-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($input-box-shadow, $input-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $input-focus-box-shadow;\n    }\n  }\n\n  &::-webkit-date-and-time-value {\n    // On Android Chrome, form-control's \"width: 100%\" makes the input width too small\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    //\n    // On iOS Safari, form-control's \"appearance: none\" + \"width: 100%\" makes the input width too small\n    // Tested under iOS 16.2 / Safari 16.2\n    min-width: 85px; // Seems to be a good minimum safe width\n\n    // Add some height to date inputs on iOS\n    // https://github.com/twbs/bootstrap/issues/23307\n    // TODO: we can remove this workaround once https://bugs.webkit.org/show_bug.cgi?id=198959 is resolved\n    // Multiply line-height by 1em if it has no unit\n    height: if(unit($input-line-height) == \"\", $input-line-height * 1em, $input-line-height);\n\n    // Android Chrome type=\"date\" is taller than the other inputs\n    // because of \"margin: 1px 24px 1px 4px\" inside the shadow DOM\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    margin: 0;\n  }\n\n  // Prevent excessive date input height in Webkit\n  // https://github.com/twbs/bootstrap/issues/34433\n  &::-webkit-datetime-edit {\n    display: block;\n    padding: 0;\n  }\n\n  // Placeholder\n  &::placeholder {\n    color: $input-placeholder-color;\n    // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526.\n    opacity: 1;\n  }\n\n  // Disabled inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &:disabled {\n    color: $input-disabled-color;\n    background-color: $input-disabled-bg;\n    border-color: $input-disabled-border-color;\n    // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655.\n    opacity: 1;\n  }\n\n  // File input buttons theming\n  &::file-selector-button {\n    padding: $input-padding-y $input-padding-x;\n    margin: (-$input-padding-y) (-$input-padding-x);\n    margin-inline-end: $input-padding-x;\n    color: $form-file-button-color;\n    @include gradient-bg($form-file-button-bg);\n    pointer-events: none;\n    border-color: inherit;\n    border-style: solid;\n    border-width: 0;\n    border-inline-end-width: $input-border-width;\n    border-radius: 0; // stylelint-disable-line property-disallowed-list\n    @include transition($btn-transition);\n  }\n\n  &:hover:not(:disabled):not([readonly])::file-selector-button {\n    background-color: $form-file-button-hover-bg;\n  }\n}\n\n// Readonly controls as plain text\n//\n// Apply class to a readonly input to make it appear like regular plain\n// text (without any border, background color, focus indicator)\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y 0;\n  margin-bottom: 0; // match inputs if this class comes on inputs with default margins\n  line-height: $input-line-height;\n  color: $input-plaintext-color;\n  background-color: transparent;\n  border: solid transparent;\n  border-width: $input-border-width 0;\n\n  &:focus {\n    outline: 0;\n  }\n\n  &.form-control-sm,\n  &.form-control-lg {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// Repeated in `_input_group.scss` to avoid Sass extend issues.\n\n.form-control-sm {\n  min-height: $input-height-sm;\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n\n  &::file-selector-button {\n    padding: $input-padding-y-sm $input-padding-x-sm;\n    margin: (-$input-padding-y-sm) (-$input-padding-x-sm);\n    margin-inline-end: $input-padding-x-sm;\n  }\n}\n\n.form-control-lg {\n  min-height: $input-height-lg;\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n\n  &::file-selector-button {\n    padding: $input-padding-y-lg $input-padding-x-lg;\n    margin: (-$input-padding-y-lg) (-$input-padding-x-lg);\n    margin-inline-end: $input-padding-x-lg;\n  }\n}\n\n// Make sure textareas don't shrink too much when resized\n// https://github.com/twbs/bootstrap/pull/29124\n// stylelint-disable selector-no-qualifying-type\ntextarea {\n  &.form-control {\n    min-height: $input-height;\n  }\n\n  &.form-control-sm {\n    min-height: $input-height-sm;\n  }\n\n  &.form-control-lg {\n    min-height: $input-height-lg;\n  }\n}\n// stylelint-enable selector-no-qualifying-type\n\n.form-control-color {\n  width: $form-color-width;\n  height: $input-height;\n  padding: $input-padding-y;\n\n  &:not(:disabled):not([readonly]) {\n    cursor: pointer;\n  }\n\n  &::-moz-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &::-webkit-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &.form-control-sm { height: $input-height-sm; }\n  &.form-control-lg { height: $input-height-lg; }\n}\n","// stylelint-disable property-disallowed-list\n@mixin transition($transition...) {\n  @if length($transition) == 0 {\n    $transition: $transition-base;\n  }\n\n  @if length($transition) > 1 {\n    @each $value in $transition {\n      @if $value == null or $value == none {\n        @warn \"The keyword 'none' or 'null' must be used as a single argument.\";\n      }\n    }\n  }\n\n  @if $enable-transitions {\n    @if nth($transition, 1) != null {\n      transition: $transition;\n    }\n\n    @if $enable-reduced-motion and nth($transition, 1) != null and nth($transition, 1) != none {\n      @media (prefers-reduced-motion: reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Gradients\n\n// scss-docs-start gradient-bg-mixin\n@mixin gradient-bg($color: null) {\n  background-color: $color;\n\n  @if $enable-gradients {\n    background-image: var(--#{$prefix}gradient);\n  }\n}\n// scss-docs-end gradient-bg-mixin\n\n// scss-docs-start gradient-mixins\n// Horizontal gradient, from left to right\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {\n  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);\n}\n\n// Vertical gradient, from top to bottom\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: null, $end-percent: null) {\n  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);\n}\n\n@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {\n  background-image: radial-gradient(circle, $inner-color, $outer-color);\n}\n\n@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {\n  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);\n}\n// scss-docs-end gradient-mixins\n","// Select\n//\n// Replaces the browser default select with a custom one, mostly pulled from\n// https://primer.github.io/.\n\n.form-select {\n  --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator)};\n\n  display: block;\n  width: 100%;\n  padding: $form-select-padding-y $form-select-indicator-padding $form-select-padding-y $form-select-padding-x;\n  font-family: $form-select-font-family;\n  @include font-size($form-select-font-size);\n  font-weight: $form-select-font-weight;\n  line-height: $form-select-line-height;\n  color: $form-select-color;\n  appearance: none;\n  background-color: $form-select-bg;\n  background-image: var(--#{$prefix}form-select-bg-img), var(--#{$prefix}form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: $form-select-bg-position;\n  background-size: $form-select-bg-size;\n  border: $form-select-border-width solid $form-select-border-color;\n  @include border-radius($form-select-border-radius, 0);\n  @include box-shadow($form-select-box-shadow);\n  @include transition($form-select-transition);\n\n  &:focus {\n    border-color: $form-select-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($form-select-box-shadow, $form-select-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $form-select-focus-box-shadow;\n    }\n  }\n\n  &[multiple],\n  &[size]:not([size=\"1\"]) {\n    padding-right: $form-select-padding-x;\n    background-image: none;\n  }\n\n  &:disabled {\n    color: $form-select-disabled-color;\n    background-color: $form-select-disabled-bg;\n    border-color: $form-select-disabled-border-color;\n  }\n\n  // Remove outline from select box in FF\n  &:-moz-focusring {\n    color: transparent;\n    text-shadow: 0 0 0 $form-select-color;\n  }\n}\n\n.form-select-sm {\n  padding-top: $form-select-padding-y-sm;\n  padding-bottom: $form-select-padding-y-sm;\n  padding-left: $form-select-padding-x-sm;\n  @include font-size($form-select-font-size-sm);\n  @include border-radius($form-select-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: $form-select-padding-y-lg;\n  padding-bottom: $form-select-padding-y-lg;\n  padding-left: $form-select-padding-x-lg;\n  @include font-size($form-select-font-size-lg);\n  @include border-radius($form-select-border-radius-lg);\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-select {\n      --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator-dark)};\n    }\n  }\n}\n","//\n// Check/radio\n//\n\n.form-check {\n  display: block;\n  min-height: $form-check-min-height;\n  padding-left: $form-check-padding-start;\n  margin-bottom: $form-check-margin-bottom;\n\n  .form-check-input {\n    float: left;\n    margin-left: $form-check-padding-start * -1;\n  }\n}\n\n.form-check-reverse {\n  padding-right: $form-check-padding-start;\n  padding-left: 0;\n  text-align: right;\n\n  .form-check-input {\n    float: right;\n    margin-right: $form-check-padding-start * -1;\n    margin-left: 0;\n  }\n}\n\n.form-check-input {\n  --#{$prefix}form-check-bg: #{$form-check-input-bg};\n\n  flex-shrink: 0;\n  width: $form-check-input-width;\n  height: $form-check-input-width;\n  margin-top: ($line-height-base - $form-check-input-width) * .5; // line-height minus check height\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--#{$prefix}form-check-bg);\n  background-image: var(--#{$prefix}form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: $form-check-input-border;\n  print-color-adjust: exact; // Keep themed appearance for print\n  @include transition($form-check-transition);\n\n  &[type=\"checkbox\"] {\n    @include border-radius($form-check-input-border-radius);\n  }\n\n  &[type=\"radio\"] {\n    // stylelint-disable-next-line property-disallowed-list\n    border-radius: $form-check-radio-border-radius;\n  }\n\n  &:active {\n    filter: $form-check-input-active-filter;\n  }\n\n  &:focus {\n    border-color: $form-check-input-focus-border;\n    outline: 0;\n    box-shadow: $form-check-input-focus-box-shadow;\n  }\n\n  &:checked {\n    background-color: $form-check-input-checked-bg-color;\n    border-color: $form-check-input-checked-border-color;\n\n    &[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)};\n      }\n    }\n  }\n\n  &[type=\"checkbox\"]:indeterminate {\n    background-color: $form-check-input-indeterminate-bg-color;\n    border-color: $form-check-input-indeterminate-border-color;\n\n    @if $enable-gradients {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)}, var(--#{$prefix}gradient);\n    } @else {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)};\n    }\n  }\n\n  &:disabled {\n    pointer-events: none;\n    filter: none;\n    opacity: $form-check-input-disabled-opacity;\n  }\n\n  // Use disabled attribute in addition of :disabled pseudo-class\n  // See: https://github.com/twbs/bootstrap/issues/28247\n  &[disabled],\n  &:disabled {\n    ~ .form-check-label {\n      cursor: default;\n      opacity: $form-check-label-disabled-opacity;\n    }\n  }\n}\n\n.form-check-label {\n  color: $form-check-label-color;\n  cursor: $form-check-label-cursor;\n}\n\n//\n// Switch\n//\n\n.form-switch {\n  padding-left: $form-switch-padding-start;\n\n  .form-check-input {\n    --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image)};\n\n    width: $form-switch-width;\n    margin-left: $form-switch-padding-start * -1;\n    background-image: var(--#{$prefix}form-switch-bg);\n    background-position: left center;\n    @include border-radius($form-switch-border-radius);\n    @include transition($form-switch-transition);\n\n    &:focus {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-focus-bg-image)};\n    }\n\n    &:checked {\n      background-position: $form-switch-checked-bg-position;\n\n      @if $enable-gradients {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)};\n      }\n    }\n  }\n\n  &.form-check-reverse {\n    padding-right: $form-switch-padding-start;\n    padding-left: 0;\n\n    .form-check-input {\n      margin-right: $form-switch-padding-start * -1;\n      margin-left: 0;\n    }\n  }\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: $form-check-inline-margin-end;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n\n  &[disabled],\n  &:disabled {\n    + .btn {\n      pointer-events: none;\n      filter: none;\n      opacity: $form-check-btn-check-disabled-opacity;\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-switch .form-check-input:not(:checked):not(:focus) {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image-dark)};\n    }\n  }\n}\n","// Range\n//\n// Style range inputs the same across browsers. Vendor-specific rules for pseudo\n// elements cannot be mixed. As such, there are no shared styles for focus or\n// active states on prefixed selectors.\n\n.form-range {\n  width: 100%;\n  height: add($form-range-thumb-height, $form-range-thumb-focus-box-shadow-width * 2);\n  padding: 0; // Need to reset padding\n  appearance: none;\n  background-color: transparent;\n\n  &:focus {\n    outline: 0;\n\n    // Pseudo-elements must be split across multiple rulesets to have an effect.\n    // No box-shadow() mixin for focus accessibility.\n    &::-webkit-slider-thumb { box-shadow: $form-range-thumb-focus-box-shadow; }\n    &::-moz-range-thumb     { box-shadow: $form-range-thumb-focus-box-shadow; }\n  }\n\n  &::-moz-focus-outer {\n    border: 0;\n  }\n\n  &::-webkit-slider-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    margin-top: ($form-range-track-height - $form-range-thumb-height) * .5; // Webkit specific\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-moz-range-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent;\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent; // Firefox specific?\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &:disabled {\n    pointer-events: none;\n\n    &::-webkit-slider-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n\n    &::-moz-range-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n  }\n}\n",".form-floating {\n  position: relative;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .form-select {\n    height: $form-floating-height;\n    min-height: $form-floating-height;\n    line-height: $form-floating-line-height;\n  }\n\n  > label {\n    position: absolute;\n    top: 0;\n    left: 0;\n    z-index: 2;\n    height: 100%; // allow textareas\n    padding: $form-floating-padding-y $form-floating-padding-x;\n    overflow: hidden;\n    text-align: start;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    pointer-events: none;\n    border: $input-border-width solid transparent; // Required for aligning label's text with the input as it affects inner box model\n    transform-origin: 0 0;\n    @include transition($form-floating-transition);\n  }\n\n  > .form-control,\n  > .form-control-plaintext {\n    padding: $form-floating-padding-y $form-floating-padding-x;\n\n    &::placeholder {\n      color: transparent;\n    }\n\n    &:focus,\n    &:not(:placeholder-shown) {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n    // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n    &:-webkit-autofill {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n  }\n\n  > .form-select {\n    padding-top: $form-floating-input-padding-t;\n    padding-bottom: $form-floating-input-padding-b;\n  }\n\n  > .form-control:focus,\n  > .form-control:not(:placeholder-shown),\n  > .form-control-plaintext,\n  > .form-select {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n\n      &::after {\n        position: absolute;\n        inset: $form-floating-padding-y ($form-floating-padding-x * .5);\n        z-index: -1;\n        height: $form-floating-label-height;\n        content: \"\";\n        background-color: $input-bg;\n        @include border-radius($input-border-radius);\n      }\n    }\n  }\n  // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n  > .form-control:-webkit-autofill {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n    }\n  }\n\n  > .form-control-plaintext {\n    ~ label {\n      border-width: $input-border-width 0; // Required to properly position label text - as explained above\n    }\n  }\n\n  > :disabled ~ label,\n  > .form-control:disabled ~ label { // Required for `.form-control`s because of specificity\n    color: $form-floating-label-disabled-color;\n\n    &::after {\n      background-color: $input-disabled-bg;\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // For form validation feedback\n  align-items: stretch;\n  width: 100%;\n\n  > .form-control,\n  > .form-select,\n  > .form-floating {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n  }\n\n  // Bring the \"active\" form control to the top of surrounding elements\n  > .form-control:focus,\n  > .form-select:focus,\n  > .form-floating:focus-within {\n    z-index: 5;\n  }\n\n  // Ensure buttons are always above inputs for more visually pleasing borders.\n  // This isn't needed for `.input-group-text` since it shares the same border-color\n  // as our inputs.\n  .btn {\n    position: relative;\n    z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n}\n\n\n// Sizing\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: $form-select-padding-x + $form-select-indicator-padding;\n}\n\n\n// Rounded corners\n//\n// These rulesets must come after the sizing ones to properly override sm and lg\n// border-radius values when extending. They're more specific than we'd like\n// with the `.input-group >` part, but without it, we cannot override the sizing.\n\n// stylelint-disable-next-line no-duplicate-selectors\n.input-group {\n  &:not(.has-validation) {\n    > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 3),\n    > .form-floating:not(:last-child) > .form-control,\n    > .form-floating:not(:last-child) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  &.has-validation {\n    > :nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 4),\n    > .form-floating:nth-last-child(n + 3) > .form-control,\n    > .form-floating:nth-last-child(n + 3) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  $validation-messages: \"\";\n  @each $state in map-keys($form-validation-states) {\n    $validation-messages: $validation-messages + \":not(.\" + unquote($state) + \"-tooltip)\" + \":not(.\" + unquote($state) + \"-feedback)\";\n  }\n\n  > :not(:first-child):not(.dropdown-menu)#{$validation-messages} {\n    margin-left: calc(#{$input-border-width} * -1); // stylelint-disable-line function-disallowed-list\n    @include border-start-radius(0);\n  }\n\n  > .form-floating:not(:first-child) > .form-control,\n  > .form-floating:not(:first-child) > .form-select {\n    @include border-start-radius(0);\n  }\n}\n","// This mixin uses an `if()` technique to be compatible with Dart Sass\n// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details\n\n// scss-docs-start form-validation-mixins\n@mixin form-validation-state-selector($state) {\n  @if ($state == \"valid\" or $state == \"invalid\") {\n    .was-validated #{if(&, \"&\", \"\")}:#{$state},\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  } @else {\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  }\n}\n\n@mixin form-validation-state(\n  $state,\n  $color,\n  $icon,\n  $tooltip-color: color-contrast($color),\n  $tooltip-bg-color: rgba($color, $form-feedback-tooltip-opacity),\n  $focus-box-shadow: 0 0 $input-btn-focus-blur $input-focus-width rgba($color, $input-btn-focus-color-opacity),\n  $border-color: $color\n) {\n  .#{$state}-feedback {\n    display: none;\n    width: 100%;\n    margin-top: $form-feedback-margin-top;\n    @include font-size($form-feedback-font-size);\n    font-style: $form-feedback-font-style;\n    color: $color;\n  }\n\n  .#{$state}-tooltip {\n    position: absolute;\n    top: 100%;\n    z-index: 5;\n    display: none;\n    max-width: 100%; // Contain to parent when possible\n    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;\n    margin-top: .1rem;\n    @include font-size($form-feedback-tooltip-font-size);\n    line-height: $form-feedback-tooltip-line-height;\n    color: $tooltip-color;\n    background-color: $tooltip-bg-color;\n    @include border-radius($form-feedback-tooltip-border-radius);\n  }\n\n  @include form-validation-state-selector($state) {\n    ~ .#{$state}-feedback,\n    ~ .#{$state}-tooltip {\n      display: block;\n    }\n  }\n\n  .form-control {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-image: escape-svg($icon);\n        background-repeat: no-repeat;\n        background-position: right $input-height-inner-quarter center;\n        background-size: $input-height-inner-half $input-height-inner-half;\n      }\n\n      &:focus {\n        border-color: $border-color;\n        box-shadow: $focus-box-shadow;\n      }\n    }\n  }\n\n  // stylelint-disable-next-line selector-no-qualifying-type\n  textarea.form-control {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;\n      }\n    }\n  }\n\n  .form-select {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        &:not([multiple]):not([size]),\n        &:not([multiple])[size=\"1\"] {\n          --#{$prefix}form-select-bg-icon: #{escape-svg($icon)};\n          padding-right: $form-select-feedback-icon-padding-end;\n          background-position: $form-select-bg-position, $form-select-feedback-icon-position;\n          background-size: $form-select-bg-size, $form-select-feedback-icon-size;\n        }\n      }\n\n      &:focus {\n        border-color: $border-color;\n        box-shadow: $focus-box-shadow;\n      }\n    }\n  }\n\n  .form-control-color {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        width: add($form-color-width, $input-height-inner);\n      }\n    }\n  }\n\n  .form-check-input {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      &:checked {\n        background-color: $color;\n      }\n\n      &:focus {\n        box-shadow: $focus-box-shadow;\n      }\n\n      ~ .form-check-label {\n        color: $color;\n      }\n    }\n  }\n  .form-check-inline .form-check-input {\n    ~ .#{$state}-feedback {\n      margin-left: .5em;\n    }\n  }\n\n  .input-group {\n    > .form-control:not(:focus),\n    > .form-select:not(:focus),\n    > .form-floating:not(:focus-within) {\n      @include form-validation-state-selector($state) {\n        @if $state == \"valid\" {\n          z-index: 3;\n        } @else if $state == \"invalid\" {\n          z-index: 4;\n        }\n      }\n    }\n  }\n}\n// scss-docs-end form-validation-mixins\n","//\n// Base styles\n//\n\n.btn {\n  // scss-docs-start btn-css-vars\n  --#{$prefix}btn-padding-x: #{$btn-padding-x};\n  --#{$prefix}btn-padding-y: #{$btn-padding-y};\n  --#{$prefix}btn-font-family: #{$btn-font-family};\n  @include rfs($btn-font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-font-weight: #{$btn-font-weight};\n  --#{$prefix}btn-line-height: #{$btn-line-height};\n  --#{$prefix}btn-color: #{$btn-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-width: #{$btn-border-width};\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-border-radius: #{$btn-border-radius};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-box-shadow: #{$btn-box-shadow};\n  --#{$prefix}btn-disabled-opacity: #{$btn-disabled-opacity};\n  --#{$prefix}btn-focus-box-shadow: 0 0 0 #{$btn-focus-width} rgba(var(--#{$prefix}btn-focus-shadow-rgb), .5);\n  // scss-docs-end btn-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}btn-padding-y) var(--#{$prefix}btn-padding-x);\n  font-family: var(--#{$prefix}btn-font-family);\n  @include font-size(var(--#{$prefix}btn-font-size));\n  font-weight: var(--#{$prefix}btn-font-weight);\n  line-height: var(--#{$prefix}btn-line-height);\n  color: var(--#{$prefix}btn-color);\n  text-align: center;\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: $btn-white-space;\n  vertical-align: middle;\n  cursor: if($enable-button-pointers, pointer, null);\n  user-select: none;\n  border: var(--#{$prefix}btn-border-width) solid var(--#{$prefix}btn-border-color);\n  @include border-radius(var(--#{$prefix}btn-border-radius));\n  @include gradient-bg(var(--#{$prefix}btn-bg));\n  @include box-shadow(var(--#{$prefix}btn-box-shadow));\n  @include transition($btn-transition);\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}btn-hover-bg);\n    border-color: var(--#{$prefix}btn-hover-border-color);\n  }\n\n  .btn-check + &:hover {\n    // override for the checkbox/radio buttons\n    color: var(--#{$prefix}btn-color);\n    background-color: var(--#{$prefix}btn-bg);\n    border-color: var(--#{$prefix}btn-border-color);\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-hover-color);\n    @include gradient-bg(var(--#{$prefix}btn-hover-bg));\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:focus-visible + & {\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:checked + &,\n  :not(.btn-check) + &:active,\n  &:first-child:active,\n  &.active,\n  &.show {\n    color: var(--#{$prefix}btn-active-color);\n    background-color: var(--#{$prefix}btn-active-bg);\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-active-border-color);\n    @include box-shadow(var(--#{$prefix}btn-active-shadow));\n\n    &:focus-visible {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      @if $enable-shadows {\n        box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n      } @else {\n        box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n      }\n    }\n  }\n\n  &:disabled,\n  &.disabled,\n  fieldset:disabled & {\n    color: var(--#{$prefix}btn-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}btn-disabled-bg);\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-disabled-border-color);\n    opacity: var(--#{$prefix}btn-disabled-opacity);\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Alternate buttons\n//\n\n// scss-docs-start btn-variant-loops\n@each $color, $value in $theme-colors {\n  .btn-#{$color} {\n    @if $color == \"light\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: shade-color($value, $btn-hover-bg-shade-amount),\n        $hover-border: shade-color($value, $btn-hover-border-shade-amount),\n        $active-background: shade-color($value, $btn-active-bg-shade-amount),\n        $active-border: shade-color($value, $btn-active-border-shade-amount)\n      );\n    } @else if $color == \"dark\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: tint-color($value, $btn-hover-bg-tint-amount),\n        $hover-border: tint-color($value, $btn-hover-border-tint-amount),\n        $active-background: tint-color($value, $btn-active-bg-tint-amount),\n        $active-border: tint-color($value, $btn-active-border-tint-amount)\n      );\n    } @else {\n      @include button-variant($value, $value);\n    }\n  }\n}\n\n@each $color, $value in $theme-colors {\n  .btn-outline-#{$color} {\n    @include button-outline-variant($value);\n  }\n}\n// scss-docs-end btn-variant-loops\n\n\n//\n// Link buttons\n//\n\n// Make a button look and behave like a link\n.btn-link {\n  --#{$prefix}btn-font-weight: #{$font-weight-normal};\n  --#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't use `none` as keyword negates all values when used with multiple shadows\n  --#{$prefix}btn-focus-shadow-rgb: #{$btn-link-focus-shadow-rgb};\n\n  text-decoration: $link-decoration;\n  @if $enable-gradients {\n    background-image: none;\n  }\n\n  &:hover,\n  &:focus-visible {\n    text-decoration: $link-hover-decoration;\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-color);\n  }\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n  }\n\n  // No need for an active state here\n}\n\n\n//\n// Button Sizes\n//\n\n.btn-lg {\n  @include button-size($btn-padding-y-lg, $btn-padding-x-lg, $btn-font-size-lg, $btn-border-radius-lg);\n}\n\n.btn-sm {\n  @include button-size($btn-padding-y-sm, $btn-padding-x-sm, $btn-font-size-sm, $btn-border-radius-sm);\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n// scss-docs-start btn-variant-mixin\n@mixin button-variant(\n  $background,\n  $border,\n  $color: color-contrast($background),\n  $hover-background: if($color == $color-contrast-light, shade-color($background, $btn-hover-bg-shade-amount), tint-color($background, $btn-hover-bg-tint-amount)),\n  $hover-border: if($color == $color-contrast-light, shade-color($border, $btn-hover-border-shade-amount), tint-color($border, $btn-hover-border-tint-amount)),\n  $hover-color: color-contrast($hover-background),\n  $active-background: if($color == $color-contrast-light, shade-color($background, $btn-active-bg-shade-amount), tint-color($background, $btn-active-bg-tint-amount)),\n  $active-border: if($color == $color-contrast-light, shade-color($border, $btn-active-border-shade-amount), tint-color($border, $btn-active-border-tint-amount)),\n  $active-color: color-contrast($active-background),\n  $disabled-background: $background,\n  $disabled-border: $border,\n  $disabled-color: color-contrast($disabled-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-bg: #{$background};\n  --#{$prefix}btn-border-color: #{$border};\n  --#{$prefix}btn-hover-color: #{$hover-color};\n  --#{$prefix}btn-hover-bg: #{$hover-background};\n  --#{$prefix}btn-hover-border-color: #{$hover-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb(mix($color, $border, 15%))};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$disabled-color};\n  --#{$prefix}btn-disabled-bg: #{$disabled-background};\n  --#{$prefix}btn-disabled-border-color: #{$disabled-border};\n}\n// scss-docs-end btn-variant-mixin\n\n// scss-docs-start btn-outline-variant-mixin\n@mixin button-outline-variant(\n  $color,\n  $color-hover: color-contrast($color),\n  $active-background: $color,\n  $active-border: $color,\n  $active-color: color-contrast($active-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-border-color: #{$color};\n  --#{$prefix}btn-hover-color: #{$color-hover};\n  --#{$prefix}btn-hover-bg: #{$active-background};\n  --#{$prefix}btn-hover-border-color: #{$active-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb($color)};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$color};\n  --#{$prefix}btn-disabled-bg: transparent;\n  --#{$prefix}btn-disabled-border-color: #{$color};\n  --#{$prefix}gradient: none;\n}\n// scss-docs-end btn-outline-variant-mixin\n\n// scss-docs-start btn-size-mixin\n@mixin button-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}btn-padding-y: #{$padding-y};\n  --#{$prefix}btn-padding-x: #{$padding-x};\n  @include rfs($font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-border-radius: #{$border-radius};\n}\n// scss-docs-end btn-size-mixin\n",".fade {\n  @include transition($transition-fade);\n\n  &:not(.show) {\n    opacity: 0;\n  }\n}\n\n// scss-docs-start collapse-classes\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.collapse-horizontal {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n// scss-docs-end collapse-classes\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  // scss-docs-start dropdown-css-vars\n  --#{$prefix}dropdown-zindex: #{$zindex-dropdown};\n  --#{$prefix}dropdown-min-width: #{$dropdown-min-width};\n  --#{$prefix}dropdown-padding-x: #{$dropdown-padding-x};\n  --#{$prefix}dropdown-padding-y: #{$dropdown-padding-y};\n  --#{$prefix}dropdown-spacer: #{$dropdown-spacer};\n  @include rfs($dropdown-font-size, --#{$prefix}dropdown-font-size);\n  --#{$prefix}dropdown-color: #{$dropdown-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-border-color};\n  --#{$prefix}dropdown-border-radius: #{$dropdown-border-radius};\n  --#{$prefix}dropdown-border-width: #{$dropdown-border-width};\n  --#{$prefix}dropdown-inner-border-radius: #{$dropdown-inner-border-radius};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-divider-bg};\n  --#{$prefix}dropdown-divider-margin-y: #{$dropdown-divider-margin-y};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-link-hover-color};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-link-disabled-color};\n  --#{$prefix}dropdown-item-padding-x: #{$dropdown-item-padding-x};\n  --#{$prefix}dropdown-item-padding-y: #{$dropdown-item-padding-y};\n  --#{$prefix}dropdown-header-color: #{$dropdown-header-color};\n  --#{$prefix}dropdown-header-padding-x: #{$dropdown-header-padding-x};\n  --#{$prefix}dropdown-header-padding-y: #{$dropdown-header-padding-y};\n  // scss-docs-end dropdown-css-vars\n\n  position: absolute;\n  z-index: var(--#{$prefix}dropdown-zindex);\n  display: none; // none by default, but block on \"open\" of the menu\n  min-width: var(--#{$prefix}dropdown-min-width);\n  padding: var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n  @include border-radius(var(--#{$prefix}dropdown-border-radius));\n  @include box-shadow(var(--#{$prefix}dropdown-box-shadow));\n\n  &[data-bs-popper] {\n    top: 100%;\n    left: 0;\n    margin-top: var(--#{$prefix}dropdown-spacer);\n  }\n\n  @if $dropdown-padding-y == 0 {\n    > .dropdown-item:first-child,\n    > li:first-child .dropdown-item {\n      @include border-top-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n    > .dropdown-item:last-child,\n    > li:last-child .dropdown-item {\n      @include border-bottom-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n\n  }\n}\n\n// scss-docs-start responsive-breakpoints\n// We deliberately hardcode the `bs-` prefix because we check\n// this custom property in JS to determine Popper's positioning\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .dropdown-menu#{$infix}-start {\n      --bs-position: start;\n\n      &[data-bs-popper] {\n        right: auto;\n        left: 0;\n      }\n    }\n\n    .dropdown-menu#{$infix}-end {\n      --bs-position: end;\n\n      &[data-bs-popper] {\n        right: 0;\n        left: auto;\n      }\n    }\n  }\n}\n// scss-docs-end responsive-breakpoints\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n// Just add .dropup after the standard .dropdown class and you're set.\n.dropup {\n  .dropdown-menu[data-bs-popper] {\n    top: auto;\n    bottom: 100%;\n    margin-top: 0;\n    margin-bottom: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(up);\n  }\n}\n\n.dropend {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: auto;\n    left: 100%;\n    margin-top: 0;\n    margin-left: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(end);\n    &::after {\n      vertical-align: 0;\n    }\n  }\n}\n\n.dropstart {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: 100%;\n    left: auto;\n    margin-top: 0;\n    margin-right: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(start);\n    &::before {\n      vertical-align: 0;\n    }\n  }\n}\n\n\n// Dividers (basically an `<hr>`) within the dropdown\n.dropdown-divider {\n  height: 0;\n  margin: var(--#{$prefix}dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--#{$prefix}dropdown-divider-bg);\n  opacity: 1; // Revisit in v6 to de-dupe styles that conflict with <hr> element\n}\n\n// Links, buttons, and more within the dropdown menu\n//\n// `<button>`-specific styles are denoted with `// For <button>s`\n.dropdown-item {\n  display: block;\n  width: 100%; // For `<button>`s\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  clear: both;\n  font-weight: $font-weight-normal;\n  color: var(--#{$prefix}dropdown-link-color);\n  text-align: inherit; // For `<button>`s\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap; // prevent links from randomly breaking onto new lines\n  background-color: transparent; // For `<button>`s\n  border: 0; // For `<button>`s\n  @include border-radius(var(--#{$prefix}dropdown-item-border-radius, 0));\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}dropdown-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    @include gradient-bg(var(--#{$prefix}dropdown-link-hover-bg));\n  }\n\n  &.active,\n  &:active {\n    color: var(--#{$prefix}dropdown-link-active-color);\n    text-decoration: none;\n    @include gradient-bg(var(--#{$prefix}dropdown-link-active-bg));\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}dropdown-link-disabled-color);\n    pointer-events: none;\n    background-color: transparent;\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n  }\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: var(--#{$prefix}dropdown-header-padding-y) var(--#{$prefix}dropdown-header-padding-x);\n  margin-bottom: 0; // for use with heading elements\n  @include font-size($font-size-sm);\n  color: var(--#{$prefix}dropdown-header-color);\n  white-space: nowrap; // as with > li > a\n}\n\n// Dropdown text\n.dropdown-item-text {\n  display: block;\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  color: var(--#{$prefix}dropdown-link-color);\n}\n\n// Dark dropdowns\n.dropdown-menu-dark {\n  // scss-docs-start dropdown-dark-css-vars\n  --#{$prefix}dropdown-color: #{$dropdown-dark-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-dark-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-dark-border-color};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-dark-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-dark-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-dark-link-hover-color};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-dark-divider-bg};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-dark-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-dark-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-dark-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-dark-link-disabled-color};\n  --#{$prefix}dropdown-header-color: #{$dropdown-dark-header-color};\n  // scss-docs-end dropdown-dark-css-vars\n}\n","// scss-docs-start caret-mixins\n@mixin caret-down($width: $caret-width) {\n  border-top: $width solid;\n  border-right: $width solid transparent;\n  border-bottom: 0;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-up($width: $caret-width) {\n  border-top: 0;\n  border-right: $width solid transparent;\n  border-bottom: $width solid;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-end($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: 0;\n  border-bottom: $width solid transparent;\n  border-left: $width solid;\n}\n\n@mixin caret-start($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: $width solid;\n  border-bottom: $width solid transparent;\n}\n\n@mixin caret(\n  $direction: down,\n  $width: $caret-width,\n  $spacing: $caret-spacing,\n  $vertical-align: $caret-vertical-align\n) {\n  @if $enable-caret {\n    &::after {\n      display: inline-block;\n      margin-left: $spacing;\n      vertical-align: $vertical-align;\n      content: \"\";\n      @if $direction == down {\n        @include caret-down($width);\n      } @else if $direction == up {\n        @include caret-up($width);\n      } @else if $direction == end {\n        @include caret-end($width);\n      }\n    }\n\n    @if $direction == start {\n      &::after {\n        display: none;\n      }\n\n      &::before {\n        display: inline-block;\n        margin-right: $spacing;\n        vertical-align: $vertical-align;\n        content: \"\";\n        @include caret-start($width);\n      }\n    }\n\n    &:empty::after {\n      margin-left: 0;\n    }\n  }\n}\n// scss-docs-end caret-mixins\n","// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n\n  > .btn {\n    position: relative;\n    flex: 1 1 auto;\n  }\n\n  // Bring the hover, focused, and \"active\" buttons to the front to overlay\n  // the borders properly\n  > .btn-check:checked + .btn,\n  > .btn-check:focus + .btn,\n  > .btn:hover,\n  > .btn:focus,\n  > .btn:active,\n  > .btn.active {\n    z-index: 1;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n\n  .input-group {\n    width: auto;\n  }\n}\n\n.btn-group {\n  @include border-radius($btn-border-radius);\n\n  // Prevent double borders when buttons are next to each other\n  > :not(.btn-check:first-child) + .btn,\n  > .btn-group:not(:first-child) {\n    margin-left: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn.dropdown-toggle-split:first-child,\n  > .btn-group:not(:last-child) > .btn {\n    @include border-end-radius(0);\n  }\n\n  // The left radius should be 0 if the button is:\n  // - the \"third or more\" child\n  // - the second child and the previous element isn't `.btn-check` (making it the first child visually)\n  // - part of a btn-group which isn't the first child\n  > .btn:nth-child(n + 3),\n  > :not(.btn-check) + .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-start-radius(0);\n  }\n}\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-sm > .btn { @extend .btn-sm; }\n.btn-group-lg > .btn { @extend .btn-lg; }\n\n\n//\n// Split button dropdowns\n//\n\n.dropdown-toggle-split {\n  padding-right: $btn-padding-x * .75;\n  padding-left: $btn-padding-x * .75;\n\n  &::after,\n  .dropup &::after,\n  .dropend &::after {\n    margin-left: 0;\n  }\n\n  .dropstart &::before {\n    margin-right: 0;\n  }\n}\n\n.btn-sm + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-sm * .75;\n  padding-left: $btn-padding-x-sm * .75;\n}\n\n.btn-lg + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-lg * .75;\n  padding-left: $btn-padding-x-lg * .75;\n}\n\n\n// The clickable button for toggling the menu\n// Set the same inset shadow as the :active state\n.btn-group.show .dropdown-toggle {\n  @include box-shadow($btn-active-box-shadow);\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Vertical button groups\n//\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n\n  > .btn,\n  > .btn-group {\n    width: 100%;\n  }\n\n  > .btn:not(:first-child),\n  > .btn-group:not(:first-child) {\n    margin-top: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn-group:not(:last-child) > .btn {\n    @include border-bottom-radius(0);\n  }\n\n  > .btn ~ .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-top-radius(0);\n  }\n}\n","// Base class\n//\n// Kickstart any navigation component with a set of style resets. Works with\n// `<nav>`s, `<ul>`s or `<ol>`s.\n\n.nav {\n  // scss-docs-start nav-css-vars\n  --#{$prefix}nav-link-padding-x: #{$nav-link-padding-x};\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: #{$nav-link-color};\n  --#{$prefix}nav-link-hover-color: #{$nav-link-hover-color};\n  --#{$prefix}nav-link-disabled-color: #{$nav-link-disabled-color};\n  // scss-docs-end nav-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--#{$prefix}nav-link-padding-y) var(--#{$prefix}nav-link-padding-x);\n  @include font-size(var(--#{$prefix}nav-link-font-size));\n  font-weight: var(--#{$prefix}nav-link-font-weight);\n  color: var(--#{$prefix}nav-link-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background: none;\n  border: 0;\n  @include transition($nav-link-transition);\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}nav-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  &:focus-visible {\n    outline: 0;\n    box-shadow: $nav-link-focus-box-shadow;\n  }\n\n  // Disabled state lightens text\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}nav-link-disabled-color);\n    pointer-events: none;\n    cursor: default;\n  }\n}\n\n//\n// Tabs\n//\n\n.nav-tabs {\n  // scss-docs-start nav-tabs-css-vars\n  --#{$prefix}nav-tabs-border-width: #{$nav-tabs-border-width};\n  --#{$prefix}nav-tabs-border-color: #{$nav-tabs-border-color};\n  --#{$prefix}nav-tabs-border-radius: #{$nav-tabs-border-radius};\n  --#{$prefix}nav-tabs-link-hover-border-color: #{$nav-tabs-link-hover-border-color};\n  --#{$prefix}nav-tabs-link-active-color: #{$nav-tabs-link-active-color};\n  --#{$prefix}nav-tabs-link-active-bg: #{$nav-tabs-link-active-bg};\n  --#{$prefix}nav-tabs-link-active-border-color: #{$nav-tabs-link-active-border-color};\n  // scss-docs-end nav-tabs-css-vars\n\n  border-bottom: var(--#{$prefix}nav-tabs-border-width) solid var(--#{$prefix}nav-tabs-border-color);\n\n  .nav-link {\n    margin-bottom: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    border: var(--#{$prefix}nav-tabs-border-width) solid transparent;\n    @include border-top-radius(var(--#{$prefix}nav-tabs-border-radius));\n\n    &:hover,\n    &:focus {\n      // Prevents active .nav-link tab overlapping focus outline of previous/next .nav-link\n      isolation: isolate;\n      border-color: var(--#{$prefix}nav-tabs-link-hover-border-color);\n    }\n  }\n\n  .nav-link.active,\n  .nav-item.show .nav-link {\n    color: var(--#{$prefix}nav-tabs-link-active-color);\n    background-color: var(--#{$prefix}nav-tabs-link-active-bg);\n    border-color: var(--#{$prefix}nav-tabs-link-active-border-color);\n  }\n\n  .dropdown-menu {\n    // Make dropdown border overlap tab border\n    margin-top: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    // Remove the top rounded corners here since there is a hard edge above the menu\n    @include border-top-radius(0);\n  }\n}\n\n\n//\n// Pills\n//\n\n.nav-pills {\n  // scss-docs-start nav-pills-css-vars\n  --#{$prefix}nav-pills-border-radius: #{$nav-pills-border-radius};\n  --#{$prefix}nav-pills-link-active-color: #{$nav-pills-link-active-color};\n  --#{$prefix}nav-pills-link-active-bg: #{$nav-pills-link-active-bg};\n  // scss-docs-end nav-pills-css-vars\n\n  .nav-link {\n    @include border-radius(var(--#{$prefix}nav-pills-border-radius));\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    color: var(--#{$prefix}nav-pills-link-active-color);\n    @include gradient-bg(var(--#{$prefix}nav-pills-link-active-bg));\n  }\n}\n\n\n//\n// Underline\n//\n\n.nav-underline {\n  // scss-docs-start nav-underline-css-vars\n  --#{$prefix}nav-underline-gap: #{$nav-underline-gap};\n  --#{$prefix}nav-underline-border-width: #{$nav-underline-border-width};\n  --#{$prefix}nav-underline-link-active-color: #{$nav-underline-link-active-color};\n  // scss-docs-end nav-underline-css-vars\n\n  gap: var(--#{$prefix}nav-underline-gap);\n\n  .nav-link {\n    padding-right: 0;\n    padding-left: 0;\n    border-bottom: var(--#{$prefix}nav-underline-border-width) solid transparent;\n\n    &:hover,\n    &:focus {\n      border-bottom-color: currentcolor;\n    }\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    font-weight: $font-weight-bold;\n    color: var(--#{$prefix}nav-underline-link-active-color);\n    border-bottom-color: currentcolor;\n  }\n}\n\n\n//\n// Justified variants\n//\n\n.nav-fill {\n  > .nav-link,\n  .nav-item {\n    flex: 1 1 auto;\n    text-align: center;\n  }\n}\n\n.nav-justified {\n  > .nav-link,\n  .nav-item {\n    flex-basis: 0;\n    flex-grow: 1;\n    text-align: center;\n  }\n}\n\n.nav-fill,\n.nav-justified {\n  .nav-item .nav-link {\n    width: 100%; // Make sure button will grow\n  }\n}\n\n\n// Tabbable tabs\n//\n// Hide tabbable panes to start, show them when `.active`\n\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n","// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  // scss-docs-start navbar-css-vars\n  --#{$prefix}navbar-padding-x: #{if($navbar-padding-x == null, 0, $navbar-padding-x)};\n  --#{$prefix}navbar-padding-y: #{$navbar-padding-y};\n  --#{$prefix}navbar-color: #{$navbar-light-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-light-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-light-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-light-active-color};\n  --#{$prefix}navbar-brand-padding-y: #{$navbar-brand-padding-y};\n  --#{$prefix}navbar-brand-margin-end: #{$navbar-brand-margin-end};\n  --#{$prefix}navbar-brand-font-size: #{$navbar-brand-font-size};\n  --#{$prefix}navbar-brand-color: #{$navbar-light-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-light-brand-hover-color};\n  --#{$prefix}navbar-nav-link-padding-x: #{$navbar-nav-link-padding-x};\n  --#{$prefix}navbar-toggler-padding-y: #{$navbar-toggler-padding-y};\n  --#{$prefix}navbar-toggler-padding-x: #{$navbar-toggler-padding-x};\n  --#{$prefix}navbar-toggler-font-size: #{$navbar-toggler-font-size};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-light-toggler-icon-bg)};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-light-toggler-border-color};\n  --#{$prefix}navbar-toggler-border-radius: #{$navbar-toggler-border-radius};\n  --#{$prefix}navbar-toggler-focus-width: #{$navbar-toggler-focus-width};\n  --#{$prefix}navbar-toggler-transition: #{$navbar-toggler-transition};\n  // scss-docs-end navbar-css-vars\n\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: var(--#{$prefix}navbar-padding-y) var(--#{$prefix}navbar-padding-x);\n  @include gradient-bg();\n\n  // Because flex properties aren't inherited, we need to redeclare these first\n  // few properties so that content nested within behave properly.\n  // The `flex-wrap` property is inherited to simplify the expanded navbars\n  %container-flex-properties {\n    display: flex;\n    flex-wrap: inherit;\n    align-items: center;\n    justify-content: space-between;\n  }\n\n  > .container,\n  > .container-fluid {\n    @extend %container-flex-properties;\n  }\n\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    > .container#{breakpoint-infix($breakpoint, $container-max-widths)} {\n      @extend %container-flex-properties;\n    }\n  }\n}\n\n\n// Navbar brand\n//\n// Used for brand, project, or site names.\n\n.navbar-brand {\n  padding-top: var(--#{$prefix}navbar-brand-padding-y);\n  padding-bottom: var(--#{$prefix}navbar-brand-padding-y);\n  margin-right: var(--#{$prefix}navbar-brand-margin-end);\n  @include font-size(var(--#{$prefix}navbar-brand-font-size));\n  color: var(--#{$prefix}navbar-brand-color);\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap;\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}navbar-brand-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n}\n\n\n// Navbar nav\n//\n// Custom navbar navigation (doesn't require `.nav`, but does make use of `.nav-link`).\n\n.navbar-nav {\n  // scss-docs-start navbar-nav-css-vars\n  --#{$prefix}nav-link-padding-x: 0;\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: var(--#{$prefix}navbar-color);\n  --#{$prefix}nav-link-hover-color: var(--#{$prefix}navbar-hover-color);\n  --#{$prefix}nav-link-disabled-color: var(--#{$prefix}navbar-disabled-color);\n  // scss-docs-end navbar-nav-css-vars\n\n  display: flex;\n  flex-direction: column; // cannot use `inherit` to get the `.navbar`s value\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  .nav-link {\n    &.active,\n    &.show {\n      color: var(--#{$prefix}navbar-active-color);\n    }\n  }\n\n  .dropdown-menu {\n    position: static;\n  }\n}\n\n\n// Navbar text\n//\n//\n\n.navbar-text {\n  padding-top: $nav-link-padding-y;\n  padding-bottom: $nav-link-padding-y;\n  color: var(--#{$prefix}navbar-color);\n\n  a,\n  a:hover,\n  a:focus  {\n    color: var(--#{$prefix}navbar-active-color);\n  }\n}\n\n\n// Responsive navbar\n//\n// Custom styles for responsive collapsing and toggling of navbar contents.\n// Powered by the collapse Bootstrap JavaScript plugin.\n\n// When collapsed, prevent the toggleable navbar contents from appearing in\n// the default flexbox row orientation. Requires the use of `flex-wrap: wrap`\n// on the `.navbar` parent.\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  // For always expanded or extra full navbars, ensure content aligns itself\n  // properly vertically. Can be easily overridden with flex utilities.\n  align-items: center;\n}\n\n// Button for toggling the navbar when in its collapsed state\n.navbar-toggler {\n  padding: var(--#{$prefix}navbar-toggler-padding-y) var(--#{$prefix}navbar-toggler-padding-x);\n  @include font-size(var(--#{$prefix}navbar-toggler-font-size));\n  line-height: 1;\n  color: var(--#{$prefix}navbar-color);\n  background-color: transparent; // remove default button style\n  border: var(--#{$prefix}border-width) solid var(--#{$prefix}navbar-toggler-border-color); // remove default button style\n  @include border-radius(var(--#{$prefix}navbar-toggler-border-radius));\n  @include transition(var(--#{$prefix}navbar-toggler-transition));\n\n  &:hover {\n    text-decoration: none;\n  }\n\n  &:focus {\n    text-decoration: none;\n    outline: 0;\n    box-shadow: 0 0 0 var(--#{$prefix}navbar-toggler-focus-width);\n  }\n}\n\n// Keep as a separate element so folks can easily override it with another icon\n// or image file as needed.\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--#{$prefix}navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--#{$prefix}scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n// scss-docs-start navbar-expand-loop\n// Generate series of `.navbar-expand-*` responsive classes for configuring\n// where your navbar collapses.\n.navbar-expand {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $next: breakpoint-next($breakpoint, $grid-breakpoints);\n    $infix: breakpoint-infix($next, $grid-breakpoints);\n\n    // stylelint-disable-next-line scss/selector-no-union-class-name\n    &#{$infix} {\n      @include media-breakpoint-up($next) {\n        flex-wrap: nowrap;\n        justify-content: flex-start;\n\n        .navbar-nav {\n          flex-direction: row;\n\n          .dropdown-menu {\n            position: absolute;\n          }\n\n          .nav-link {\n            padding-right: var(--#{$prefix}navbar-nav-link-padding-x);\n            padding-left: var(--#{$prefix}navbar-nav-link-padding-x);\n          }\n        }\n\n        .navbar-nav-scroll {\n          overflow: visible;\n        }\n\n        .navbar-collapse {\n          display: flex !important; // stylelint-disable-line declaration-no-important\n          flex-basis: auto;\n        }\n\n        .navbar-toggler {\n          display: none;\n        }\n\n        .offcanvas {\n          // stylelint-disable declaration-no-important\n          position: static;\n          z-index: auto;\n          flex-grow: 1;\n          width: auto !important;\n          height: auto !important;\n          visibility: visible !important;\n          background-color: transparent !important;\n          border: 0 !important;\n          transform: none !important;\n          @include box-shadow(none);\n          @include transition(none);\n          // stylelint-enable declaration-no-important\n\n          .offcanvas-header {\n            display: none;\n          }\n\n          .offcanvas-body {\n            display: flex;\n            flex-grow: 0;\n            padding: 0;\n            overflow-y: visible;\n          }\n        }\n      }\n    }\n  }\n}\n// scss-docs-end navbar-expand-loop\n\n// Navbar themes\n//\n// Styles for switching between navbars with light or dark background.\n\n.navbar-light {\n  @include deprecate(\"`.navbar-light`\", \"v5.2.0\", \"v6.0.0\", true);\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=\"dark\"] {\n  // scss-docs-start navbar-dark-css-vars\n  --#{$prefix}navbar-color: #{$navbar-dark-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-dark-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-dark-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-dark-active-color};\n  --#{$prefix}navbar-brand-color: #{$navbar-dark-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-dark-brand-hover-color};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-dark-toggler-border-color};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n  // scss-docs-end navbar-dark-css-vars\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .navbar-toggler-icon {\n      --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.card {\n  // scss-docs-start card-css-vars\n  --#{$prefix}card-spacer-y: #{$card-spacer-y};\n  --#{$prefix}card-spacer-x: #{$card-spacer-x};\n  --#{$prefix}card-title-spacer-y: #{$card-title-spacer-y};\n  --#{$prefix}card-title-color: #{$card-title-color};\n  --#{$prefix}card-subtitle-color: #{$card-subtitle-color};\n  --#{$prefix}card-border-width: #{$card-border-width};\n  --#{$prefix}card-border-color: #{$card-border-color};\n  --#{$prefix}card-border-radius: #{$card-border-radius};\n  --#{$prefix}card-box-shadow: #{$card-box-shadow};\n  --#{$prefix}card-inner-border-radius: #{$card-inner-border-radius};\n  --#{$prefix}card-cap-padding-y: #{$card-cap-padding-y};\n  --#{$prefix}card-cap-padding-x: #{$card-cap-padding-x};\n  --#{$prefix}card-cap-bg: #{$card-cap-bg};\n  --#{$prefix}card-cap-color: #{$card-cap-color};\n  --#{$prefix}card-height: #{$card-height};\n  --#{$prefix}card-color: #{$card-color};\n  --#{$prefix}card-bg: #{$card-bg};\n  --#{$prefix}card-img-overlay-padding: #{$card-img-overlay-padding};\n  --#{$prefix}card-group-margin: #{$card-group-margin};\n  // scss-docs-end card-css-vars\n\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0; // See https://github.com/twbs/bootstrap/pull/22740#issuecomment-305868106\n  height: var(--#{$prefix}card-height);\n  color: var(--#{$prefix}body-color);\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}card-bg);\n  background-clip: border-box;\n  border: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n  @include border-radius(var(--#{$prefix}card-border-radius));\n  @include box-shadow(var(--#{$prefix}card-box-shadow));\n\n  > hr {\n    margin-right: 0;\n    margin-left: 0;\n  }\n\n  > .list-group {\n    border-top: inherit;\n    border-bottom: inherit;\n\n    &:first-child {\n      border-top-width: 0;\n      @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n\n    &:last-child  {\n      border-bottom-width: 0;\n      @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n  }\n\n  // Due to specificity of the above selector (`.card > .list-group`), we must\n  // use a child selector here to prevent double borders.\n  > .card-header + .list-group,\n  > .list-group + .card-footer {\n    border-top: 0;\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}card-spacer-y) var(--#{$prefix}card-spacer-x);\n  color: var(--#{$prefix}card-color);\n}\n\n.card-title {\n  margin-bottom: var(--#{$prefix}card-title-spacer-y);\n  color: var(--#{$prefix}card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-.5 * var(--#{$prefix}card-title-spacer-y)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: 0;\n  color: var(--#{$prefix}card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link {\n  &:hover {\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  + .card-link {\n    margin-left: var(--#{$prefix}card-spacer-x);\n  }\n}\n\n//\n// Optional textual caps\n//\n\n.card-header {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  margin-bottom: 0; // Removes the default margin-bottom of <hN>\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-bottom: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:first-child {\n    @include border-radius(var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius) 0 0);\n  }\n}\n\n.card-footer {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-top: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:last-child {\n    @include border-radius(0 0 var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius));\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: calc(-1 * var(--#{$prefix}card-cap-padding-y)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  border-bottom: 0;\n\n  .nav-link.active {\n    background-color: var(--#{$prefix}card-bg);\n    border-bottom-color: var(--#{$prefix}card-bg);\n  }\n}\n\n.card-header-pills {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n}\n\n// Card image\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--#{$prefix}card-img-overlay-padding);\n  @include border-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%; // Required because we use flexbox and this inherently applies align-self: stretch\n}\n\n.card-img,\n.card-img-top {\n  @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-bottom {\n  @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: var(--#{$prefix}card-group-margin);\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      flex: 1 0 0%;\n      margin-bottom: 0;\n\n      + .card {\n        margin-left: 0;\n        border-left: 0;\n      }\n\n      // Handle rounded corners\n      @if $enable-rounded {\n        &:not(:last-child) {\n          @include border-end-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-right-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-right-radius: 0;\n          }\n        }\n\n        &:not(:first-child) {\n          @include border-start-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-left-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-left-radius: 0;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.accordion {\n  // scss-docs-start accordion-css-vars\n  --#{$prefix}accordion-color: #{$accordion-color};\n  --#{$prefix}accordion-bg: #{$accordion-bg};\n  --#{$prefix}accordion-transition: #{$accordion-transition};\n  --#{$prefix}accordion-border-color: #{$accordion-border-color};\n  --#{$prefix}accordion-border-width: #{$accordion-border-width};\n  --#{$prefix}accordion-border-radius: #{$accordion-border-radius};\n  --#{$prefix}accordion-inner-border-radius: #{$accordion-inner-border-radius};\n  --#{$prefix}accordion-btn-padding-x: #{$accordion-button-padding-x};\n  --#{$prefix}accordion-btn-padding-y: #{$accordion-button-padding-y};\n  --#{$prefix}accordion-btn-color: #{$accordion-button-color};\n  --#{$prefix}accordion-btn-bg: #{$accordion-button-bg};\n  --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon)};\n  --#{$prefix}accordion-btn-icon-width: #{$accordion-icon-width};\n  --#{$prefix}accordion-btn-icon-transform: #{$accordion-icon-transform};\n  --#{$prefix}accordion-btn-icon-transition: #{$accordion-icon-transition};\n  --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon)};\n  --#{$prefix}accordion-btn-focus-border-color: #{$accordion-button-focus-border-color};\n  --#{$prefix}accordion-btn-focus-box-shadow: #{$accordion-button-focus-box-shadow};\n  --#{$prefix}accordion-body-padding-x: #{$accordion-body-padding-x};\n  --#{$prefix}accordion-body-padding-y: #{$accordion-body-padding-y};\n  --#{$prefix}accordion-active-color: #{$accordion-button-active-color};\n  --#{$prefix}accordion-active-bg: #{$accordion-button-active-bg};\n  // scss-docs-end accordion-css-vars\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--#{$prefix}accordion-btn-padding-y) var(--#{$prefix}accordion-btn-padding-x);\n  @include font-size($font-size-base);\n  color: var(--#{$prefix}accordion-btn-color);\n  text-align: left; // Reset button style\n  background-color: var(--#{$prefix}accordion-btn-bg);\n  border: 0;\n  @include border-radius(0);\n  overflow-anchor: none;\n  @include transition(var(--#{$prefix}accordion-transition));\n\n  &:not(.collapsed) {\n    color: var(--#{$prefix}accordion-active-color);\n    background-color: var(--#{$prefix}accordion-active-bg);\n    box-shadow: inset 0 calc(-1 * var(--#{$prefix}accordion-border-width)) 0 var(--#{$prefix}accordion-border-color); // stylelint-disable-line function-disallowed-list\n\n    &::after {\n      background-image: var(--#{$prefix}accordion-btn-active-icon);\n      transform: var(--#{$prefix}accordion-btn-icon-transform);\n    }\n  }\n\n  // Accordion icon\n  &::after {\n    flex-shrink: 0;\n    width: var(--#{$prefix}accordion-btn-icon-width);\n    height: var(--#{$prefix}accordion-btn-icon-width);\n    margin-left: auto;\n    content: \"\";\n    background-image: var(--#{$prefix}accordion-btn-icon);\n    background-repeat: no-repeat;\n    background-size: var(--#{$prefix}accordion-btn-icon-width);\n    @include transition(var(--#{$prefix}accordion-btn-icon-transition));\n  }\n\n  &:hover {\n    z-index: 2;\n  }\n\n  &:focus {\n    z-index: 3;\n    border-color: var(--#{$prefix}accordion-btn-focus-border-color);\n    outline: 0;\n    box-shadow: var(--#{$prefix}accordion-btn-focus-box-shadow);\n  }\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--#{$prefix}accordion-color);\n  background-color: var(--#{$prefix}accordion-bg);\n  border: var(--#{$prefix}accordion-border-width) solid var(--#{$prefix}accordion-border-color);\n\n  &:first-of-type {\n    @include border-top-radius(var(--#{$prefix}accordion-border-radius));\n\n    .accordion-button {\n      @include border-top-radius(var(--#{$prefix}accordion-inner-border-radius));\n    }\n  }\n\n  &:not(:first-of-type) {\n    border-top: 0;\n  }\n\n  // Only set a border-radius on the last item if the accordion is collapsed\n  &:last-of-type {\n    @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n\n    .accordion-button {\n      &.collapsed {\n        @include border-bottom-radius(var(--#{$prefix}accordion-inner-border-radius));\n      }\n    }\n\n    .accordion-collapse {\n      @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n    }\n  }\n}\n\n.accordion-body {\n  padding: var(--#{$prefix}accordion-body-padding-y) var(--#{$prefix}accordion-body-padding-x);\n}\n\n\n// Flush accordion items\n//\n// Remove borders and border-radius to keep accordion items edge-to-edge.\n\n.accordion-flush {\n  .accordion-collapse {\n    border-width: 0;\n  }\n\n  .accordion-item {\n    border-right: 0;\n    border-left: 0;\n    @include border-radius(0);\n\n    &:first-child { border-top: 0; }\n    &:last-child { border-bottom: 0; }\n\n    .accordion-button {\n      &,\n      &.collapsed {\n        @include border-radius(0);\n      }\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .accordion-button::after {\n      --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon-dark)};\n      --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon-dark)};\n    }\n  }\n}\n",".breadcrumb {\n  // scss-docs-start breadcrumb-css-vars\n  --#{$prefix}breadcrumb-padding-x: #{$breadcrumb-padding-x};\n  --#{$prefix}breadcrumb-padding-y: #{$breadcrumb-padding-y};\n  --#{$prefix}breadcrumb-margin-bottom: #{$breadcrumb-margin-bottom};\n  @include rfs($breadcrumb-font-size, --#{$prefix}breadcrumb-font-size);\n  --#{$prefix}breadcrumb-bg: #{$breadcrumb-bg};\n  --#{$prefix}breadcrumb-border-radius: #{$breadcrumb-border-radius};\n  --#{$prefix}breadcrumb-divider-color: #{$breadcrumb-divider-color};\n  --#{$prefix}breadcrumb-item-padding-x: #{$breadcrumb-item-padding-x};\n  --#{$prefix}breadcrumb-item-active-color: #{$breadcrumb-active-color};\n  // scss-docs-end breadcrumb-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--#{$prefix}breadcrumb-padding-y) var(--#{$prefix}breadcrumb-padding-x);\n  margin-bottom: var(--#{$prefix}breadcrumb-margin-bottom);\n  @include font-size(var(--#{$prefix}breadcrumb-font-size));\n  list-style: none;\n  background-color: var(--#{$prefix}breadcrumb-bg);\n  @include border-radius(var(--#{$prefix}breadcrumb-border-radius));\n}\n\n.breadcrumb-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: var(--#{$prefix}breadcrumb-item-padding-x);\n\n    &::before {\n      float: left; // Suppress inline spacings and underlining of the separator\n      padding-right: var(--#{$prefix}breadcrumb-item-padding-x);\n      color: var(--#{$prefix}breadcrumb-divider-color);\n      content: var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider)) #{\"/* rtl:\"} var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider-flipped)) #{\"*/\"};\n    }\n  }\n\n  &.active {\n    color: var(--#{$prefix}breadcrumb-item-active-color);\n  }\n}\n",".pagination {\n  // scss-docs-start pagination-css-vars\n  --#{$prefix}pagination-padding-x: #{$pagination-padding-x};\n  --#{$prefix}pagination-padding-y: #{$pagination-padding-y};\n  @include rfs($pagination-font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-color: #{$pagination-color};\n  --#{$prefix}pagination-bg: #{$pagination-bg};\n  --#{$prefix}pagination-border-width: #{$pagination-border-width};\n  --#{$prefix}pagination-border-color: #{$pagination-border-color};\n  --#{$prefix}pagination-border-radius: #{$pagination-border-radius};\n  --#{$prefix}pagination-hover-color: #{$pagination-hover-color};\n  --#{$prefix}pagination-hover-bg: #{$pagination-hover-bg};\n  --#{$prefix}pagination-hover-border-color: #{$pagination-hover-border-color};\n  --#{$prefix}pagination-focus-color: #{$pagination-focus-color};\n  --#{$prefix}pagination-focus-bg: #{$pagination-focus-bg};\n  --#{$prefix}pagination-focus-box-shadow: #{$pagination-focus-box-shadow};\n  --#{$prefix}pagination-active-color: #{$pagination-active-color};\n  --#{$prefix}pagination-active-bg: #{$pagination-active-bg};\n  --#{$prefix}pagination-active-border-color: #{$pagination-active-border-color};\n  --#{$prefix}pagination-disabled-color: #{$pagination-disabled-color};\n  --#{$prefix}pagination-disabled-bg: #{$pagination-disabled-bg};\n  --#{$prefix}pagination-disabled-border-color: #{$pagination-disabled-border-color};\n  // scss-docs-end pagination-css-vars\n\n  display: flex;\n  @include list-unstyled();\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}pagination-padding-y) var(--#{$prefix}pagination-padding-x);\n  @include font-size(var(--#{$prefix}pagination-font-size));\n  color: var(--#{$prefix}pagination-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}pagination-bg);\n  border: var(--#{$prefix}pagination-border-width) solid var(--#{$prefix}pagination-border-color);\n  @include transition($pagination-transition);\n\n  &:hover {\n    z-index: 2;\n    color: var(--#{$prefix}pagination-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}pagination-hover-bg);\n    border-color: var(--#{$prefix}pagination-hover-border-color);\n  }\n\n  &:focus {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-focus-color);\n    background-color: var(--#{$prefix}pagination-focus-bg);\n    outline: $pagination-focus-outline;\n    box-shadow: var(--#{$prefix}pagination-focus-box-shadow);\n  }\n\n  &.active,\n  .active > & {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-active-color);\n    @include gradient-bg(var(--#{$prefix}pagination-active-bg));\n    border-color: var(--#{$prefix}pagination-active-border-color);\n  }\n\n  &.disabled,\n  .disabled > & {\n    color: var(--#{$prefix}pagination-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}pagination-disabled-bg);\n    border-color: var(--#{$prefix}pagination-disabled-border-color);\n  }\n}\n\n.page-item {\n  &:not(:first-child) .page-link {\n    margin-left: $pagination-margin-start;\n  }\n\n  @if $pagination-margin-start == calc(#{$pagination-border-width} * -1) {\n    &:first-child {\n      .page-link {\n        @include border-start-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n\n    &:last-child {\n      .page-link {\n        @include border-end-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n  } @else {\n    // Add border-radius to all pageLinks in case they have left margin\n    .page-link {\n      @include border-radius(var(--#{$prefix}pagination-border-radius));\n    }\n  }\n}\n\n\n//\n// Sizing\n//\n\n.pagination-lg {\n  @include pagination-size($pagination-padding-y-lg, $pagination-padding-x-lg, $font-size-lg, $pagination-border-radius-lg);\n}\n\n.pagination-sm {\n  @include pagination-size($pagination-padding-y-sm, $pagination-padding-x-sm, $font-size-sm, $pagination-border-radius-sm);\n}\n","// Pagination\n\n// scss-docs-start pagination-mixin\n@mixin pagination-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}pagination-padding-x: #{$padding-x};\n  --#{$prefix}pagination-padding-y: #{$padding-y};\n  @include rfs($font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-border-radius: #{$border-radius};\n}\n// scss-docs-end pagination-mixin\n","// Base class\n//\n// Requires one of the contextual, color modifier classes for `color` and\n// `background-color`.\n\n.badge {\n  // scss-docs-start badge-css-vars\n  --#{$prefix}badge-padding-x: #{$badge-padding-x};\n  --#{$prefix}badge-padding-y: #{$badge-padding-y};\n  @include rfs($badge-font-size, --#{$prefix}badge-font-size);\n  --#{$prefix}badge-font-weight: #{$badge-font-weight};\n  --#{$prefix}badge-color: #{$badge-color};\n  --#{$prefix}badge-border-radius: #{$badge-border-radius};\n  // scss-docs-end badge-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}badge-padding-y) var(--#{$prefix}badge-padding-x);\n  @include font-size(var(--#{$prefix}badge-font-size));\n  font-weight: var(--#{$prefix}badge-font-weight);\n  line-height: 1;\n  color: var(--#{$prefix}badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  @include border-radius(var(--#{$prefix}badge-border-radius));\n  @include gradient-bg();\n\n  // Empty badges collapse automatically\n  &:empty {\n    display: none;\n  }\n}\n\n// Quick fix for badges in buttons\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n","//\n// Base styles\n//\n\n.alert {\n  // scss-docs-start alert-css-vars\n  --#{$prefix}alert-bg: transparent;\n  --#{$prefix}alert-padding-x: #{$alert-padding-x};\n  --#{$prefix}alert-padding-y: #{$alert-padding-y};\n  --#{$prefix}alert-margin-bottom: #{$alert-margin-bottom};\n  --#{$prefix}alert-color: inherit;\n  --#{$prefix}alert-border-color: transparent;\n  --#{$prefix}alert-border: #{$alert-border-width} solid var(--#{$prefix}alert-border-color);\n  --#{$prefix}alert-border-radius: #{$alert-border-radius};\n  --#{$prefix}alert-link-color: inherit;\n  // scss-docs-end alert-css-vars\n\n  position: relative;\n  padding: var(--#{$prefix}alert-padding-y) var(--#{$prefix}alert-padding-x);\n  margin-bottom: var(--#{$prefix}alert-margin-bottom);\n  color: var(--#{$prefix}alert-color);\n  background-color: var(--#{$prefix}alert-bg);\n  border: var(--#{$prefix}alert-border);\n  @include border-radius(var(--#{$prefix}alert-border-radius));\n}\n\n// Headings for larger alerts\n.alert-heading {\n  // Specified to prevent conflicts of changing $headings-color\n  color: inherit;\n}\n\n// Provide class for links that match alerts\n.alert-link {\n  font-weight: $alert-link-font-weight;\n  color: var(--#{$prefix}alert-link-color);\n}\n\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n.alert-dismissible {\n  padding-right: $alert-dismissible-padding-r;\n\n  // Adjust close link position\n  .btn-close {\n    position: absolute;\n    top: 0;\n    right: 0;\n    z-index: $stretched-link-z-index + 1;\n    padding: $alert-padding-y * 1.25 $alert-padding-x;\n  }\n}\n\n\n// scss-docs-start alert-modifiers\n// Generate contextual modifier classes for colorizing the alert\n@each $state in map-keys($theme-colors) {\n  .alert-#{$state} {\n    --#{$prefix}alert-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}alert-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}alert-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}alert-link-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end alert-modifiers\n","// Disable animation if transitions are disabled\n\n// scss-docs-start progress-keyframes\n@if $enable-transitions {\n  @keyframes progress-bar-stripes {\n    0% { background-position-x: $progress-height; }\n  }\n}\n// scss-docs-end progress-keyframes\n\n.progress,\n.progress-stacked {\n  // scss-docs-start progress-css-vars\n  --#{$prefix}progress-height: #{$progress-height};\n  @include rfs($progress-font-size, --#{$prefix}progress-font-size);\n  --#{$prefix}progress-bg: #{$progress-bg};\n  --#{$prefix}progress-border-radius: #{$progress-border-radius};\n  --#{$prefix}progress-box-shadow: #{$progress-box-shadow};\n  --#{$prefix}progress-bar-color: #{$progress-bar-color};\n  --#{$prefix}progress-bar-bg: #{$progress-bar-bg};\n  --#{$prefix}progress-bar-transition: #{$progress-bar-transition};\n  // scss-docs-end progress-css-vars\n\n  display: flex;\n  height: var(--#{$prefix}progress-height);\n  overflow: hidden; // force rounded corners by cropping it\n  @include font-size(var(--#{$prefix}progress-font-size));\n  background-color: var(--#{$prefix}progress-bg);\n  @include border-radius(var(--#{$prefix}progress-border-radius));\n  @include box-shadow(var(--#{$prefix}progress-box-shadow));\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--#{$prefix}progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--#{$prefix}progress-bar-bg);\n  @include transition(var(--#{$prefix}progress-bar-transition));\n}\n\n.progress-bar-striped {\n  @include gradient-striped();\n  background-size: var(--#{$prefix}progress-height) var(--#{$prefix}progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n@if $enable-transitions {\n  .progress-bar-animated {\n    animation: $progress-bar-animation-timing progress-bar-stripes;\n\n    @if $enable-reduced-motion {\n      @media (prefers-reduced-motion: reduce) {\n        animation: none;\n      }\n    }\n  }\n}\n","// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // scss-docs-start list-group-css-vars\n  --#{$prefix}list-group-color: #{$list-group-color};\n  --#{$prefix}list-group-bg: #{$list-group-bg};\n  --#{$prefix}list-group-border-color: #{$list-group-border-color};\n  --#{$prefix}list-group-border-width: #{$list-group-border-width};\n  --#{$prefix}list-group-border-radius: #{$list-group-border-radius};\n  --#{$prefix}list-group-item-padding-x: #{$list-group-item-padding-x};\n  --#{$prefix}list-group-item-padding-y: #{$list-group-item-padding-y};\n  --#{$prefix}list-group-action-color: #{$list-group-action-color};\n  --#{$prefix}list-group-action-hover-color: #{$list-group-action-hover-color};\n  --#{$prefix}list-group-action-hover-bg: #{$list-group-hover-bg};\n  --#{$prefix}list-group-action-active-color: #{$list-group-action-active-color};\n  --#{$prefix}list-group-action-active-bg: #{$list-group-action-active-bg};\n  --#{$prefix}list-group-disabled-color: #{$list-group-disabled-color};\n  --#{$prefix}list-group-disabled-bg: #{$list-group-disabled-bg};\n  --#{$prefix}list-group-active-color: #{$list-group-active-color};\n  --#{$prefix}list-group-active-bg: #{$list-group-active-bg};\n  --#{$prefix}list-group-active-border-color: #{$list-group-active-border-color};\n  // scss-docs-end list-group-css-vars\n\n  display: flex;\n  flex-direction: column;\n\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 0;\n  @include border-radius(var(--#{$prefix}list-group-border-radius));\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n\n  > .list-group-item::before {\n    // Increments only this instance of the section counter\n    content: counters(section, \".\") \". \";\n    counter-increment: section;\n  }\n}\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-action-hover-color);\n    text-decoration: none;\n    background-color: var(--#{$prefix}list-group-action-hover-bg);\n  }\n\n  &:active {\n    color: var(--#{$prefix}list-group-action-active-color);\n    background-color: var(--#{$prefix}list-group-action-active-bg);\n  }\n}\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}list-group-item-padding-y) var(--#{$prefix}list-group-item-padding-x);\n  color: var(--#{$prefix}list-group-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}list-group-bg);\n  border: var(--#{$prefix}list-group-border-width) solid var(--#{$prefix}list-group-border-color);\n\n  &:first-child {\n    @include border-top-radius(inherit);\n  }\n\n  &:last-child {\n    @include border-bottom-radius(inherit);\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}list-group-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}list-group-disabled-bg);\n  }\n\n  // Include both here for `<a>`s and `<button>`s\n  &.active {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-active-color);\n    background-color: var(--#{$prefix}list-group-active-bg);\n    border-color: var(--#{$prefix}list-group-active-border-color);\n  }\n\n  // stylelint-disable-next-line scss/selector-no-redundant-nesting-selector\n  & + .list-group-item {\n    border-top-width: 0;\n\n    &.active {\n      margin-top: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n      border-top-width: var(--#{$prefix}list-group-border-width);\n    }\n  }\n}\n\n// Horizontal\n//\n// Change the layout of list group items from vertical (default) to horizontal.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .list-group-horizontal#{$infix} {\n      flex-direction: row;\n\n      > .list-group-item {\n        &:first-child:not(:last-child) {\n          @include border-bottom-start-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-top-end-radius(0);\n        }\n\n        &:last-child:not(:first-child) {\n          @include border-top-end-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-bottom-start-radius(0);\n        }\n\n        &.active {\n          margin-top: 0;\n        }\n\n        + .list-group-item {\n          border-top-width: var(--#{$prefix}list-group-border-width);\n          border-left-width: 0;\n\n          &.active {\n            margin-left: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n            border-left-width: var(--#{$prefix}list-group-border-width);\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Flush list items\n//\n// Remove borders and border-radius to keep list group items edge-to-edge. Most\n// useful within other components (e.g., cards).\n\n.list-group-flush {\n  @include border-radius(0);\n\n  > .list-group-item {\n    border-width: 0 0 var(--#{$prefix}list-group-border-width);\n\n    &:last-child {\n      border-bottom-width: 0;\n    }\n  }\n}\n\n\n// scss-docs-start list-group-modifiers\n// List group contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n@each $state in map-keys($theme-colors) {\n  .list-group-item-#{$state} {\n    --#{$prefix}list-group-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-hover-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-hover-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-active-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-active-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-active-color: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-active-bg: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-active-border-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end list-group-modifiers\n","// Transparent background and border properties included for button version.\n// iOS requires the button element instead of an anchor tag.\n// If you want the anchor version, it requires `href=\"#\"`.\n// See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n.btn-close {\n  // scss-docs-start close-css-vars\n  --#{$prefix}btn-close-color: #{$btn-close-color};\n  --#{$prefix}btn-close-bg: #{ escape-svg($btn-close-bg) };\n  --#{$prefix}btn-close-opacity: #{$btn-close-opacity};\n  --#{$prefix}btn-close-hover-opacity: #{$btn-close-hover-opacity};\n  --#{$prefix}btn-close-focus-shadow: #{$btn-close-focus-shadow};\n  --#{$prefix}btn-close-focus-opacity: #{$btn-close-focus-opacity};\n  --#{$prefix}btn-close-disabled-opacity: #{$btn-close-disabled-opacity};\n  --#{$prefix}btn-close-white-filter: #{$btn-close-white-filter};\n  // scss-docs-end close-css-vars\n\n  box-sizing: content-box;\n  width: $btn-close-width;\n  height: $btn-close-height;\n  padding: $btn-close-padding-y $btn-close-padding-x;\n  color: var(--#{$prefix}btn-close-color);\n  background: transparent var(--#{$prefix}btn-close-bg) center / $btn-close-width auto no-repeat; // include transparent for button elements\n  border: 0; // for button elements\n  @include border-radius();\n  opacity: var(--#{$prefix}btn-close-opacity);\n\n  // Override <a>'s hover style\n  &:hover {\n    color: var(--#{$prefix}btn-close-color);\n    text-decoration: none;\n    opacity: var(--#{$prefix}btn-close-hover-opacity);\n  }\n\n  &:focus {\n    outline: 0;\n    box-shadow: var(--#{$prefix}btn-close-focus-shadow);\n    opacity: var(--#{$prefix}btn-close-focus-opacity);\n  }\n\n  &:disabled,\n  &.disabled {\n    pointer-events: none;\n    user-select: none;\n    opacity: var(--#{$prefix}btn-close-disabled-opacity);\n  }\n}\n\n@mixin btn-close-white() {\n  filter: var(--#{$prefix}btn-close-white-filter);\n}\n\n.btn-close-white {\n  @include btn-close-white();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .btn-close {\n      @include btn-close-white();\n    }\n  }\n}\n",".toast {\n  // scss-docs-start toast-css-vars\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n  --#{$prefix}toast-padding-x: #{$toast-padding-x};\n  --#{$prefix}toast-padding-y: #{$toast-padding-y};\n  --#{$prefix}toast-spacing: #{$toast-spacing};\n  --#{$prefix}toast-max-width: #{$toast-max-width};\n  @include rfs($toast-font-size, --#{$prefix}toast-font-size);\n  --#{$prefix}toast-color: #{$toast-color};\n  --#{$prefix}toast-bg: #{$toast-background-color};\n  --#{$prefix}toast-border-width: #{$toast-border-width};\n  --#{$prefix}toast-border-color: #{$toast-border-color};\n  --#{$prefix}toast-border-radius: #{$toast-border-radius};\n  --#{$prefix}toast-box-shadow: #{$toast-box-shadow};\n  --#{$prefix}toast-header-color: #{$toast-header-color};\n  --#{$prefix}toast-header-bg: #{$toast-header-background-color};\n  --#{$prefix}toast-header-border-color: #{$toast-header-border-color};\n  // scss-docs-end toast-css-vars\n\n  width: var(--#{$prefix}toast-max-width);\n  max-width: 100%;\n  @include font-size(var(--#{$prefix}toast-font-size));\n  color: var(--#{$prefix}toast-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}toast-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-border-color);\n  box-shadow: var(--#{$prefix}toast-box-shadow);\n  @include border-radius(var(--#{$prefix}toast-border-radius));\n\n  &.showing {\n    opacity: 0;\n  }\n\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.toast-container {\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n\n  position: absolute;\n  z-index: var(--#{$prefix}toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n\n  > :not(:last-child) {\n    margin-bottom: var(--#{$prefix}toast-spacing);\n  }\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}toast-padding-y) var(--#{$prefix}toast-padding-x);\n  color: var(--#{$prefix}toast-header-color);\n  background-color: var(--#{$prefix}toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-header-border-color);\n  @include border-top-radius(calc(var(--#{$prefix}toast-border-radius) - var(--#{$prefix}toast-border-width)));\n\n  .btn-close {\n    margin-right: calc(-.5 * var(--#{$prefix}toast-padding-x)); // stylelint-disable-line function-disallowed-list\n    margin-left: var(--#{$prefix}toast-padding-x);\n  }\n}\n\n.toast-body {\n  padding: var(--#{$prefix}toast-padding-x);\n  word-wrap: break-word;\n}\n","// stylelint-disable function-disallowed-list\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and stuff\n\n\n// Container that the modal scrolls within\n.modal {\n  // scss-docs-start modal-css-vars\n  --#{$prefix}modal-zindex: #{$zindex-modal};\n  --#{$prefix}modal-width: #{$modal-md};\n  --#{$prefix}modal-padding: #{$modal-inner-padding};\n  --#{$prefix}modal-margin: #{$modal-dialog-margin};\n  --#{$prefix}modal-color: #{$modal-content-color};\n  --#{$prefix}modal-bg: #{$modal-content-bg};\n  --#{$prefix}modal-border-color: #{$modal-content-border-color};\n  --#{$prefix}modal-border-width: #{$modal-content-border-width};\n  --#{$prefix}modal-border-radius: #{$modal-content-border-radius};\n  --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-xs};\n  --#{$prefix}modal-inner-border-radius: #{$modal-content-inner-border-radius};\n  --#{$prefix}modal-header-padding-x: #{$modal-header-padding-x};\n  --#{$prefix}modal-header-padding-y: #{$modal-header-padding-y};\n  --#{$prefix}modal-header-padding: #{$modal-header-padding}; // Todo in v6: Split this padding into x and y\n  --#{$prefix}modal-header-border-color: #{$modal-header-border-color};\n  --#{$prefix}modal-header-border-width: #{$modal-header-border-width};\n  --#{$prefix}modal-title-line-height: #{$modal-title-line-height};\n  --#{$prefix}modal-footer-gap: #{$modal-footer-margin-between};\n  --#{$prefix}modal-footer-bg: #{$modal-footer-bg};\n  --#{$prefix}modal-footer-border-color: #{$modal-footer-border-color};\n  --#{$prefix}modal-footer-border-width: #{$modal-footer-border-width};\n  // scss-docs-end modal-css-vars\n\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--#{$prefix}modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n  // We deliberately don't use `-webkit-overflow-scrolling: touch;` due to a\n  // gnarly iOS Safari bug: https://bugs.webkit.org/show_bug.cgi?id=158342\n  // See also https://github.com/twbs/bootstrap/issues/17695\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--#{$prefix}modal-margin);\n  // allow clicks to pass through for custom click handling to close modal\n  pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n    overflow: hidden;\n  }\n\n  .modal-body {\n    overflow-y: auto;\n  }\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%; // Ensure `.modal-content` extends the full width of the parent `.modal-dialog`\n  // counteract the pointer-events: none; in the .modal-dialog\n  color: var(--#{$prefix}modal-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}modal-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}modal-border-width) solid var(--#{$prefix}modal-border-color);\n  @include border-radius(var(--#{$prefix}modal-border-radius));\n  @include box-shadow(var(--#{$prefix}modal-box-shadow));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  // scss-docs-start modal-backdrop-css-vars\n  --#{$prefix}backdrop-zindex: #{$zindex-modal-backdrop};\n  --#{$prefix}backdrop-bg: #{$modal-backdrop-bg};\n  --#{$prefix}backdrop-opacity: #{$modal-backdrop-opacity};\n  // scss-docs-end modal-backdrop-css-vars\n\n  @include overlay-backdrop(var(--#{$prefix}backdrop-zindex), var(--#{$prefix}backdrop-bg), var(--#{$prefix}backdrop-opacity));\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  justify-content: space-between; // Put modal header elements (title and dismiss) on opposite ends\n  padding: var(--#{$prefix}modal-header-padding);\n  border-bottom: var(--#{$prefix}modal-header-border-width) solid var(--#{$prefix}modal-header-border-color);\n  @include border-top-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}modal-header-padding-y) * .5) calc(var(--#{$prefix}modal-header-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}modal-header-padding-y)) calc(-.5 * var(--#{$prefix}modal-header-padding-x)) calc(-.5 * var(--#{$prefix}modal-header-padding-y)) auto;\n  }\n}\n\n// Title text within header\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}modal-title-line-height);\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  // Enable `flex-grow: 1` so that the body take up as much space as possible\n  // when there should be a fixed height on `.modal-dialog`.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}modal-padding);\n}\n\n// Footer (for actions)\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center; // vertically center\n  justify-content: flex-end; // Right align buttons with flex property because text-align doesn't work on flex items\n  padding: calc(var(--#{$prefix}modal-padding) - var(--#{$prefix}modal-footer-gap) * .5);\n  background-color: var(--#{$prefix}modal-footer-bg);\n  border-top: var(--#{$prefix}modal-footer-border-width) solid var(--#{$prefix}modal-footer-border-color);\n  @include border-bottom-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  // Place margin between footer elements\n  // This solution is far from ideal because of the universal selector usage,\n  // but is needed to fix https://github.com/twbs/bootstrap/issues/24800\n  > * {\n    margin: calc(var(--#{$prefix}modal-footer-gap) * .5); // Todo in v6: replace with gap on parent class\n  }\n}\n\n// Scale up the modal\n@include media-breakpoint-up(sm) {\n  .modal {\n    --#{$prefix}modal-margin: #{$modal-dialog-margin-y-sm-up};\n    --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-sm-up};\n  }\n\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    max-width: var(--#{$prefix}modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  .modal-sm {\n    --#{$prefix}modal-width: #{$modal-sm};\n  }\n}\n\n@include media-breakpoint-up(lg) {\n  .modal-lg,\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-lg};\n  }\n}\n\n@include media-breakpoint-up(xl) {\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-xl};\n  }\n}\n\n// scss-docs-start modal-fullscreen-loop\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n  $postfix: if($infix != \"\", $infix + \"-down\", \"\");\n\n  @include media-breakpoint-down($breakpoint) {\n    .modal-fullscreen#{$postfix} {\n      width: 100vw;\n      max-width: none;\n      height: 100%;\n      margin: 0;\n\n      .modal-content {\n        height: 100%;\n        border: 0;\n        @include border-radius(0);\n      }\n\n      .modal-header,\n      .modal-footer {\n        @include border-radius(0);\n      }\n\n      .modal-body {\n        overflow-y: auto;\n      }\n    }\n  }\n}\n// scss-docs-end modal-fullscreen-loop\n","// Shared between modals and offcanvases\n@mixin overlay-backdrop($zindex, $backdrop-bg, $backdrop-opacity) {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: $zindex;\n  width: 100vw;\n  height: 100vh;\n  background-color: $backdrop-bg;\n\n  // Fade for backdrop\n  &.fade { opacity: 0; }\n  &.show { opacity: $backdrop-opacity; }\n}\n","// Base class\n.tooltip {\n  // scss-docs-start tooltip-css-vars\n  --#{$prefix}tooltip-zindex: #{$zindex-tooltip};\n  --#{$prefix}tooltip-max-width: #{$tooltip-max-width};\n  --#{$prefix}tooltip-padding-x: #{$tooltip-padding-x};\n  --#{$prefix}tooltip-padding-y: #{$tooltip-padding-y};\n  --#{$prefix}tooltip-margin: #{$tooltip-margin};\n  @include rfs($tooltip-font-size, --#{$prefix}tooltip-font-size);\n  --#{$prefix}tooltip-color: #{$tooltip-color};\n  --#{$prefix}tooltip-bg: #{$tooltip-bg};\n  --#{$prefix}tooltip-border-radius: #{$tooltip-border-radius};\n  --#{$prefix}tooltip-opacity: #{$tooltip-opacity};\n  --#{$prefix}tooltip-arrow-width: #{$tooltip-arrow-width};\n  --#{$prefix}tooltip-arrow-height: #{$tooltip-arrow-height};\n  // scss-docs-end tooltip-css-vars\n\n  z-index: var(--#{$prefix}tooltip-zindex);\n  display: block;\n  margin: var(--#{$prefix}tooltip-margin);\n  @include deprecate(\"`$tooltip-margin`\", \"v5\", \"v5.x\", true);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}tooltip-font-size));\n  // Allow breaking very long words so they don't overflow the tooltip's bounds\n  word-wrap: break-word;\n  opacity: 0;\n\n  &.show { opacity: var(--#{$prefix}tooltip-opacity); }\n\n  .tooltip-arrow {\n    display: block;\n    width: var(--#{$prefix}tooltip-arrow-width);\n    height: var(--#{$prefix}tooltip-arrow-height);\n\n    &::before {\n      position: absolute;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n    }\n  }\n}\n\n.bs-tooltip-top .tooltip-arrow {\n  bottom: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    top: -1px;\n    border-width: var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-top-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow {\n  left: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    right: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-right-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-bottom .tooltip-arrow {\n  top: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    bottom: -1px;\n    border-width: 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-bottom-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow {\n  right: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    left: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-left-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-tooltip-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-tooltip-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-tooltip-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-tooltip-start;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: var(--#{$prefix}tooltip-max-width);\n  padding: var(--#{$prefix}tooltip-padding-y) var(--#{$prefix}tooltip-padding-x);\n  color: var(--#{$prefix}tooltip-color);\n  text-align: center;\n  background-color: var(--#{$prefix}tooltip-bg);\n  @include border-radius(var(--#{$prefix}tooltip-border-radius));\n}\n","@mixin reset-text {\n  font-family: $font-family-base;\n  // We deliberately do NOT reset font-size or overflow-wrap / word-wrap.\n  font-style: normal;\n  font-weight: $font-weight-normal;\n  line-height: $line-height-base;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n}\n",".popover {\n  // scss-docs-start popover-css-vars\n  --#{$prefix}popover-zindex: #{$zindex-popover};\n  --#{$prefix}popover-max-width: #{$popover-max-width};\n  @include rfs($popover-font-size, --#{$prefix}popover-font-size);\n  --#{$prefix}popover-bg: #{$popover-bg};\n  --#{$prefix}popover-border-width: #{$popover-border-width};\n  --#{$prefix}popover-border-color: #{$popover-border-color};\n  --#{$prefix}popover-border-radius: #{$popover-border-radius};\n  --#{$prefix}popover-inner-border-radius: #{$popover-inner-border-radius};\n  --#{$prefix}popover-box-shadow: #{$popover-box-shadow};\n  --#{$prefix}popover-header-padding-x: #{$popover-header-padding-x};\n  --#{$prefix}popover-header-padding-y: #{$popover-header-padding-y};\n  @include rfs($popover-header-font-size, --#{$prefix}popover-header-font-size);\n  --#{$prefix}popover-header-color: #{$popover-header-color};\n  --#{$prefix}popover-header-bg: #{$popover-header-bg};\n  --#{$prefix}popover-body-padding-x: #{$popover-body-padding-x};\n  --#{$prefix}popover-body-padding-y: #{$popover-body-padding-y};\n  --#{$prefix}popover-body-color: #{$popover-body-color};\n  --#{$prefix}popover-arrow-width: #{$popover-arrow-width};\n  --#{$prefix}popover-arrow-height: #{$popover-arrow-height};\n  --#{$prefix}popover-arrow-border: var(--#{$prefix}popover-border-color);\n  // scss-docs-end popover-css-vars\n\n  z-index: var(--#{$prefix}popover-zindex);\n  display: block;\n  max-width: var(--#{$prefix}popover-max-width);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}popover-font-size));\n  // Allow breaking very long words so they don't overflow the popover's bounds\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}popover-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-radius(var(--#{$prefix}popover-border-radius));\n  @include box-shadow(var(--#{$prefix}popover-box-shadow));\n\n  .popover-arrow {\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    height: var(--#{$prefix}popover-arrow-height);\n\n    &::before,\n    &::after {\n      position: absolute;\n      display: block;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n      border-width: 0;\n    }\n  }\n}\n\n.bs-popover-top {\n  > .popover-arrow {\n    bottom: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      bottom: 0;\n      border-top-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      bottom: var(--#{$prefix}popover-border-width);\n      border-top-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end {\n  > .popover-arrow {\n    left: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      left: 0;\n      border-right-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      left: var(--#{$prefix}popover-border-width);\n      border-right-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-bottom {\n  > .popover-arrow {\n    top: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      top: 0;\n      border-bottom-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      top: var(--#{$prefix}popover-border-width);\n      border-bottom-color: var(--#{$prefix}popover-bg);\n    }\n  }\n\n  // This will remove the popover-header's border just below the arrow\n  .popover-header::before {\n    position: absolute;\n    top: 0;\n    left: 50%;\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    margin-left: calc(-.5 * var(--#{$prefix}popover-arrow-width)); // stylelint-disable-line function-disallowed-list\n    content: \"\";\n    border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-header-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start {\n  > .popover-arrow {\n    right: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      right: 0;\n      border-left-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      right: var(--#{$prefix}popover-border-width);\n      border-left-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-popover-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-popover-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-popover-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-popover-start;\n  }\n}\n\n// Offset the popover to account for the popover arrow\n.popover-header {\n  padding: var(--#{$prefix}popover-header-padding-y) var(--#{$prefix}popover-header-padding-x);\n  margin-bottom: 0; // Reset the default from Reboot\n  @include font-size(var(--#{$prefix}popover-header-font-size));\n  color: var(--#{$prefix}popover-header-color);\n  background-color: var(--#{$prefix}popover-header-bg);\n  border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-top-radius(var(--#{$prefix}popover-inner-border-radius));\n\n  &:empty {\n    display: none;\n  }\n}\n\n.popover-body {\n  padding: var(--#{$prefix}popover-body-padding-y) var(--#{$prefix}popover-body-padding-x);\n  color: var(--#{$prefix}popover-body-color);\n}\n","// Notes on the classes:\n//\n// 1. .carousel.pointer-event should ideally be pan-y (to allow for users to scroll vertically)\n//    even when their scroll action started on a carousel, but for compatibility (with Firefox)\n//    we're preventing all actions instead\n// 2. The .carousel-item-start and .carousel-item-end is used to indicate where\n//    the active slide is heading.\n// 3. .active.carousel-item is the current slide.\n// 4. .active.carousel-item-start and .active.carousel-item-end is the current\n//    slide in its in-transition state. Only one of these occurs at a time.\n// 5. .carousel-item-next.carousel-item-start and .carousel-item-prev.carousel-item-end\n//    is the upcoming slide in transition.\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n  @include clearfix();\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  @include transition($carousel-transition);\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n\n//\n// Alternate transitions\n//\n\n.carousel-fade {\n  .carousel-item {\n    opacity: 0;\n    transition-property: opacity;\n    transform: none;\n  }\n\n  .carousel-item.active,\n  .carousel-item-next.carousel-item-start,\n  .carousel-item-prev.carousel-item-end {\n    z-index: 1;\n    opacity: 1;\n  }\n\n  .active.carousel-item-start,\n  .active.carousel-item-end {\n    z-index: 0;\n    opacity: 0;\n    @include transition(opacity 0s $carousel-transition-duration);\n  }\n}\n\n\n//\n// Left/right controls for nav\n//\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  // Use flex for alignment (1-3)\n  display: flex; // 1. allow flex styles\n  align-items: center; // 2. vertically center contents\n  justify-content: center; // 3. horizontally center contents\n  width: $carousel-control-width;\n  padding: 0;\n  color: $carousel-control-color;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: $carousel-control-opacity;\n  @include transition($carousel-control-transition);\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: $carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    opacity: $carousel-control-hover-opacity;\n  }\n}\n.carousel-control-prev {\n  left: 0;\n  background-image: if($enable-gradients, linear-gradient(90deg, rgba($black, .25), rgba($black, .001)), null);\n}\n.carousel-control-next {\n  right: 0;\n  background-image: if($enable-gradients, linear-gradient(270deg, rgba($black, .25), rgba($black, .001)), null);\n}\n\n// Icons for within\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: $carousel-control-icon-width;\n  height: $carousel-control-icon-width;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n/* rtl:options: {\n  \"autoRename\": true,\n  \"stringMap\":[ {\n    \"name\"    : \"prev-next\",\n    \"search\"  : \"prev\",\n    \"replace\" : \"next\"\n  } ]\n} */\n.carousel-control-prev-icon {\n  background-image: escape-svg($carousel-control-prev-icon-bg);\n}\n.carousel-control-next-icon {\n  background-image: escape-svg($carousel-control-next-icon-bg);\n}\n\n// Optional indicator pips/controls\n//\n// Add a container (such as a list) with the following class and add an item (ideally a focusable control,\n// like a button) with data-bs-target for each slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  // Use the .carousel-control's width as margin so we don't overlay those\n  margin-right: $carousel-control-width;\n  margin-bottom: 1rem;\n  margin-left: $carousel-control-width;\n\n  [data-bs-target] {\n    box-sizing: content-box;\n    flex: 0 1 auto;\n    width: $carousel-indicator-width;\n    height: $carousel-indicator-height;\n    padding: 0;\n    margin-right: $carousel-indicator-spacer;\n    margin-left: $carousel-indicator-spacer;\n    text-indent: -999px;\n    cursor: pointer;\n    background-color: $carousel-indicator-active-bg;\n    background-clip: padding-box;\n    border: 0;\n    // Use transparent borders to increase the hit area by 10px on top and bottom.\n    border-top: $carousel-indicator-hit-area-height solid transparent;\n    border-bottom: $carousel-indicator-hit-area-height solid transparent;\n    opacity: $carousel-indicator-opacity;\n    @include transition($carousel-indicator-transition);\n  }\n\n  .active {\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n  .carousel-control-next-icon {\n    filter: $carousel-dark-control-icon-filter;\n  }\n\n  .carousel-indicators [data-bs-target] {\n    background-color: $carousel-dark-indicator-active-bg;\n  }\n\n  .carousel-caption {\n    color: $carousel-dark-caption-color;\n  }\n}\n\n.carousel-dark {\n  @include carousel-dark();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    @if $color-mode-type == \"media-query\" {\n      .carousel {\n        @include carousel-dark();\n      }\n    } @else {\n      .carousel,\n      &.carousel {\n        @include carousel-dark();\n      }\n    }\n  }\n}\n","// scss-docs-start clearfix\n@mixin clearfix() {\n  &::after {\n    display: block;\n    clear: both;\n    content: \"\";\n  }\n}\n// scss-docs-end clearfix\n","//\n// Rotating border\n//\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--#{$prefix}spinner-width);\n  height: var(--#{$prefix}spinner-height);\n  vertical-align: var(--#{$prefix}spinner-vertical-align);\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 50%;\n  animation: var(--#{$prefix}spinner-animation-speed) linear infinite var(--#{$prefix}spinner-animation-name);\n}\n\n// scss-docs-start spinner-border-keyframes\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-border;\n  // scss-docs-end spinner-border-css-vars\n\n  border: var(--#{$prefix}spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  // scss-docs-start spinner-border-sm-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width-sm};\n  // scss-docs-end spinner-border-sm-css-vars\n}\n\n//\n// Growing circle\n//\n\n// scss-docs-start spinner-grow-keyframes\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n// scss-docs-end spinner-grow-keyframes\n\n.spinner-grow {\n  // scss-docs-start spinner-grow-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-grow;\n  // scss-docs-end spinner-grow-css-vars\n\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n}\n\n@if $enable-reduced-motion {\n  @media (prefers-reduced-motion: reduce) {\n    .spinner-border,\n    .spinner-grow {\n      --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed * 2};\n    }\n  }\n}\n","// stylelint-disable function-disallowed-list\n\n%offcanvas-css-vars {\n  // scss-docs-start offcanvas-css-vars\n  --#{$prefix}offcanvas-zindex: #{$zindex-offcanvas};\n  --#{$prefix}offcanvas-width: #{$offcanvas-horizontal-width};\n  --#{$prefix}offcanvas-height: #{$offcanvas-vertical-height};\n  --#{$prefix}offcanvas-padding-x: #{$offcanvas-padding-x};\n  --#{$prefix}offcanvas-padding-y: #{$offcanvas-padding-y};\n  --#{$prefix}offcanvas-color: #{$offcanvas-color};\n  --#{$prefix}offcanvas-bg: #{$offcanvas-bg-color};\n  --#{$prefix}offcanvas-border-width: #{$offcanvas-border-width};\n  --#{$prefix}offcanvas-border-color: #{$offcanvas-border-color};\n  --#{$prefix}offcanvas-box-shadow: #{$offcanvas-box-shadow};\n  --#{$prefix}offcanvas-transition: #{transform $offcanvas-transition-duration ease-in-out};\n  --#{$prefix}offcanvas-title-line-height: #{$offcanvas-title-line-height};\n  // scss-docs-end offcanvas-css-vars\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @extend %offcanvas-css-vars;\n  }\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @include media-breakpoint-down($next) {\n      position: fixed;\n      bottom: 0;\n      z-index: var(--#{$prefix}offcanvas-zindex);\n      display: flex;\n      flex-direction: column;\n      max-width: 100%;\n      color: var(--#{$prefix}offcanvas-color);\n      visibility: hidden;\n      background-color: var(--#{$prefix}offcanvas-bg);\n      background-clip: padding-box;\n      outline: 0;\n      @include box-shadow(var(--#{$prefix}offcanvas-box-shadow));\n      @include transition(var(--#{$prefix}offcanvas-transition));\n\n      &.offcanvas-start {\n        top: 0;\n        left: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-right: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(-100%);\n      }\n\n      &.offcanvas-end {\n        top: 0;\n        right: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-left: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(100%);\n      }\n\n      &.offcanvas-top {\n        top: 0;\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-bottom: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(-100%);\n      }\n\n      &.offcanvas-bottom {\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-top: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(100%);\n      }\n\n      &.showing,\n      &.show:not(.hiding) {\n        transform: none;\n      }\n\n      &.showing,\n      &.hiding,\n      &.show {\n        visibility: visible;\n      }\n    }\n\n    @if not ($infix == \"\") {\n      @include media-breakpoint-up($next) {\n        --#{$prefix}offcanvas-height: auto;\n        --#{$prefix}offcanvas-border-width: 0;\n        background-color: transparent !important; // stylelint-disable-line declaration-no-important\n\n        .offcanvas-header {\n          display: none;\n        }\n\n        .offcanvas-body {\n          display: flex;\n          flex-grow: 0;\n          padding: 0;\n          overflow-y: visible;\n          // Reset `background-color` in case `.bg-*` classes are used in offcanvas\n          background-color: transparent !important; // stylelint-disable-line declaration-no-important\n        }\n      }\n    }\n  }\n}\n\n.offcanvas-backdrop {\n  @include overlay-backdrop($zindex-offcanvas-backdrop, $offcanvas-backdrop-bg, $offcanvas-backdrop-opacity);\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}offcanvas-padding-y) * .5) calc(var(--#{$prefix}offcanvas-padding-x) * .5);\n    margin-top: calc(-.5 * var(--#{$prefix}offcanvas-padding-y));\n    margin-right: calc(-.5 * var(--#{$prefix}offcanvas-padding-x));\n    margin-bottom: calc(-.5 * var(--#{$prefix}offcanvas-padding-y));\n  }\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n  overflow-y: auto;\n}\n",".placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: $placeholder-opacity-max;\n\n  &.btn::before {\n    display: inline-block;\n    content: \"\";\n  }\n}\n\n// Sizing\n.placeholder-xs {\n  min-height: .6em;\n}\n\n.placeholder-sm {\n  min-height: .8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n// Animation\n.placeholder-glow {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .text-bg-#{$color} {\n    color: color-contrast($value) if($enable-important-utilities, !important, null);\n    background-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}bg-opacity, 1)) if($enable-important-utilities, !important, null);\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .link-#{$color} {\n    color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n    text-decoration-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n    @if $link-shade-percentage != 0 {\n      &:hover,\n      &:focus {\n        $hover-color: if(color-contrast($value) == $color-contrast-light, shade-color($value, $link-shade-percentage), tint-color($value, $link-shade-percentage));\n        color: RGBA(#{to-rgb($hover-color)}, var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n        text-decoration-color: RGBA(to-rgb($hover-color), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n      }\n    }\n  }\n}\n\n// One-off special link helper as a bridge until v6\n.link-body-emphasis {\n  color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n  text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n  @if $link-shade-percentage != 0 {\n    &:hover,\n    &:focus {\n      color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, .75)) if($enable-important-utilities, !important, null);\n      text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, .75)) if($enable-important-utilities, !important, null);\n    }\n  }\n}\n",".focus-ring:focus {\n  outline: 0;\n  // By default, there is no `--bs-focus-ring-x`, `--bs-focus-ring-y`, or `--bs-focus-ring-blur`, but we provide CSS variables with fallbacks to initial `0` values\n  box-shadow: var(--#{$prefix}focus-ring-x, 0) var(--#{$prefix}focus-ring-y, 0) var(--#{$prefix}focus-ring-blur, 0) var(--#{$prefix}focus-ring-width) var(--#{$prefix}focus-ring-color);\n}\n",".icon-link {\n  display: inline-flex;\n  gap: $icon-link-gap;\n  align-items: center;\n  text-decoration-color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, .5));\n  text-underline-offset: $icon-link-underline-offset;\n  backface-visibility: hidden;\n\n  > .bi {\n    flex-shrink: 0;\n    width: $icon-link-icon-size;\n    height: $icon-link-icon-size;\n    fill: currentcolor;\n    @include transition($icon-link-icon-transition);\n  }\n}\n\n.icon-link-hover {\n  &:hover,\n  &:focus-visible {\n    > .bi {\n      transform: var(--#{$prefix}icon-link-transform, $icon-link-icon-transform);\n    }\n  }\n}\n","// Credit: Nicolas Gallagher and SUIT CSS.\n\n.ratio {\n  position: relative;\n  width: 100%;\n\n  &::before {\n    display: block;\n    padding-top: var(--#{$prefix}aspect-ratio);\n    content: \"\";\n  }\n\n  > * {\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n  }\n}\n\n@each $key, $ratio in $aspect-ratios {\n  .ratio-#{$key} {\n    --#{$prefix}aspect-ratio: #{$ratio};\n  }\n}\n","// Shorthand\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n// Responsive sticky top and bottom\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .sticky#{$infix}-top {\n      position: sticky;\n      top: 0;\n      z-index: $zindex-sticky;\n    }\n\n    .sticky#{$infix}-bottom {\n      position: sticky;\n      bottom: 0;\n      z-index: $zindex-sticky;\n    }\n  }\n}\n","// scss-docs-start stacks\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n// scss-docs-end stacks\n","//\n// Visually hidden\n//\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  @include visually-hidden();\n}\n","// stylelint-disable declaration-no-important\n\n// Hide content visually while keeping it accessible to assistive technologies\n//\n// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// See: https://kittygiraudel.com/2016/10/13/css-hide-and-seek/\n\n@mixin visually-hidden() {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important; // Fix for https://github.com/twbs/bootstrap/issues/25686\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n\n  // Fix for positioned table caption that could become anonymous cells\n  &:not(caption) {\n    position: absolute !important;\n  }\n}\n\n// Use to only display content when it's focused, or one of its child elements is focused\n// (i.e. when focus is within the element/container that the class was applied to)\n//\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n\n@mixin visually-hidden-focusable() {\n  &:not(:focus):not(:focus-within) {\n    @include visually-hidden();\n  }\n}\n","//\n// Stretched link\n//\n\n.stretched-link {\n  &::#{$stretched-link-pseudo-element} {\n    position: absolute;\n    top: 0;\n    right: 0;\n    bottom: 0;\n    left: 0;\n    z-index: $stretched-link-z-index;\n    content: \"\";\n  }\n}\n","//\n// Text truncation\n//\n\n.text-truncate {\n  @include text-truncate();\n}\n","// Text truncate\n// Requires inline-block or block for proper styling\n\n@mixin text-truncate() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n",".vr {\n  display: inline-block;\n  align-self: stretch;\n  width: $vr-border-width;\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: $hr-opacity;\n}\n","// Utility generator\n// Used to generate utilities & print utilities\n@mixin generate-utility($utility, $infix: \"\", $is-rfs-media-query: false) {\n  $values: map-get($utility, values);\n\n  // If the values are a list or string, convert it into a map\n  @if type-of($values) == \"string\" or type-of(nth($values, 1)) != \"list\" {\n    $values: zip($values, $values);\n  }\n\n  @each $key, $value in $values {\n    $properties: map-get($utility, property);\n\n    // Multiple properties are possible, for example with vertical or horizontal margins or paddings\n    @if type-of($properties) == \"string\" {\n      $properties: append((), $properties);\n    }\n\n    // Use custom class if present\n    $property-class: if(map-has-key($utility, class), map-get($utility, class), nth($properties, 1));\n    $property-class: if($property-class == null, \"\", $property-class);\n\n    // Use custom CSS variable name if present, otherwise default to `class`\n    $css-variable-name: if(map-has-key($utility, css-variable-name), map-get($utility, css-variable-name), map-get($utility, class));\n\n    // State params to generate pseudo-classes\n    $state: if(map-has-key($utility, state), map-get($utility, state), ());\n\n    $infix: if($property-class == \"\" and str-slice($infix, 1, 1) == \"-\", str-slice($infix, 2), $infix);\n\n    // Don't prefix if value key is null (e.g. with shadow class)\n    $property-class-modifier: if($key, if($property-class == \"\" and $infix == \"\", \"\", \"-\") + $key, \"\");\n\n    @if map-get($utility, rfs) {\n      // Inside the media query\n      @if $is-rfs-media-query {\n        $val: rfs-value($value);\n\n        // Do not render anything if fluid and non fluid values are the same\n        $value: if($val == rfs-fluid-value($value), null, $val);\n      }\n      @else {\n        $value: rfs-fluid-value($value);\n      }\n    }\n\n    $is-css-var: map-get($utility, css-var);\n    $is-local-vars: map-get($utility, local-vars);\n    $is-rtl: map-get($utility, rtl);\n\n    @if $value != null {\n      @if $is-rtl == false {\n        /* rtl:begin:remove */\n      }\n\n      @if $is-css-var {\n        .#{$property-class + $infix + $property-class-modifier} {\n          --#{$prefix}#{$css-variable-name}: #{$value};\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            --#{$prefix}#{$css-variable-name}: #{$value};\n          }\n        }\n      } @else {\n        .#{$property-class + $infix + $property-class-modifier} {\n          @each $property in $properties {\n            @if $is-local-vars {\n              @each $local-var, $variable in $is-local-vars {\n                --#{$prefix}#{$local-var}: #{$variable};\n              }\n            }\n            #{$property}: $value if($enable-important-utilities, !important, null);\n          }\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            @each $property in $properties {\n              @if $is-local-vars {\n                @each $local-var, $variable in $is-local-vars {\n                  --#{$prefix}#{$local-var}: #{$variable};\n                }\n              }\n              #{$property}: $value if($enable-important-utilities, !important, null);\n            }\n          }\n        }\n      }\n\n      @if $is-rtl == false {\n        /* rtl:end:remove */\n      }\n    }\n  }\n}\n","// Loop over each breakpoint\n@each $breakpoint in map-keys($grid-breakpoints) {\n\n  // Generate media query if needed\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    // Loop over each utility property\n    @each $key, $utility in $utilities {\n      // The utility can be disabled with `false`, thus check if the utility is a map first\n      // Only proceed if responsive media queries are enabled or if it's the base media query\n      @if type-of($utility) == \"map\" and (map-get($utility, responsive) or $infix == \"\") {\n        @include 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\ No newline at end of file
diff --git a/dev/_static/styles/pydata-sphinx-theme.css b/dev/_static/styles/pydata-sphinx-theme.css
index cad322118..b81ac474d 100644
--- a/dev/_static/styles/pydata-sphinx-theme.css
+++ b/dev/_static/styles/pydata-sphinx-theme.css
@@ -1,6 +1,2 @@
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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/dev/_static/styles/sphinx-book-theme.css b/dev/_static/styles/sphinx-book-theme.css
index 2dbb3598d..56c23f180 100644
--- a/dev/_static/styles/sphinx-book-theme.css
+++ b/dev/_static/styles/sphinx-book-theme.css
@@ -5,4 +5,4 @@
  *
  * This follows the 7-1 pattern described here:
  * https://sass-guidelin.es/#architecture
- 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.bd-content #jb-print-docs-body h1{font-size:3em;text-align:center;margin-bottom:0}.bd-main .bd-content .bd-article{padding-top:0}.bd-main .bd-content .bd-article h1:first-of-type{display:none}.bd-main .bd-content .container{min-width:0!important}.bd-main .bd-content h1{margin-top:1em;margin-bottom:1em}.bd-main .bd-content h1,.bd-main .bd-content h2,.bd-main .bd-content h3,.bd-main .bd-content h4{break-after:avoid;color:#000}.bd-main .bd-content table{break-inside:avoid}.bd-main .bd-content pre{word-wrap:break-word}.bd-main .bd-content a.headerlink{display:none}.bd-main .bd-content aside.margin,.bd-main .bd-content aside.sidebar,.bd-main .bd-content blockquote.epigraph{border:none}.bd-main .bd-content .footer{margin-top:1em}.bd-main .bd-content #jb-print-toc{margin-bottom:1.5rem;margin-left:0}.bd-main .bd-content #jb-print-toc .section-nav{border-left:0!important;list-style-type:disc!important;margin-left:3em!important}.bd-main .bd-content #jb-print-toc .section-nav a{text-decoration:none!important}.bd-main .bd-content #jb-print-toc .section-nav li{display:list-item!important}.bd-main .bd-content #jb-print-toc .section-nav .nav{display:none}.bd-main .bd-footer-content{display:none!important}}.bd-header-announcement{background-color:var(--sbt-color-announcement);color:#fff}.bd-main .bd-content{justify-content:left}.bd-main .bd-content .bd-article-container{padding:0;overflow-x:unset;min-width:0}@media (min-width:1200px){.bd-main .bd-content .bd-article-container{max-width:calc(100% - var(--pst-sidebar-secondary))}}.bd-main .bd-content .bd-article-container .bd-article{padding-right:2rem;padding-left:2rem}@media (max-width:768px){.bd-main .bd-content .bd-article-container .bd-article{padding-right:1rem;padding-left:1rem}}.bd-main .bd-content .bd-article-container details.above-input summary,.bd-main .bd-content .bd-article-container details.below-input summary{border-left:3px solid var(--pst-color-primary)}@media (min-width:768px){label.sidebar-toggle.primary-toggle{display:inline-block}}@media (max-width:768px){label.sidebar-toggle.primary-toggle{margin-bottom:0}}@media (min-width:992px){label.sidebar-toggle.secondary-toggle{display:none}}@media (max-width:768px){label.sidebar-toggle.secondary-toggle{margin-bottom:0}}.bd-header-article{display:flex;align-items:center;position:sticky;top:0;background-color:var(--pst-color-background);transition:left .2s;font-size:.9em;padding:0 1rem;z-index:1020}@media (max-width:768px){.bd-header-article{padding:0 .5rem;height:3.5rem}}.scrolled .bd-header-article{box-shadow:0 6px 6px -6px var(--pst-color-shadow)}.bd-header-article .header-article__inner{padding:0}.bd-header-article .header-article-items{display:flex;align-items:center;height:3rem;width:100%}.bd-header-article .header-article-item{display:flex;align-items:center}.bd-header-article .article-header-buttons{display:flex}.bd-header-article .btn{font-size:1.3rem;color:var(--pst-color-text-muted);border:none;padding:0 .5rem;display:flex;align-items:center}.bd-header-article .btn svg{width:1.3rem}.bd-header-article .btn.show,.bd-header-article .btn:hover{color:var(--pst-color-text-base);border:none}.bd-header-article .btn.show+.dropdown-menu,.bd-header-article .btn:hover+.dropdown-menu{display:block}.bd-header-article .btn:focus{box-shadow:none}.bd-header-article .btn.dropdown-toggle:after{display:none}.bd-header-article div.dropdown{display:flex;align-items:center}.bd-header-article .theme-switch-button{margin:0}.bd-header-article .theme-switch-button button,.bd-header-article .theme-switch-button i,.bd-header-article .theme-switch-button span{padding:0}.bd-header-article .theme-switch-button i,.bd-header-article .theme-switch-button span{transition:color .25s ease-out}.bd-header-article .theme-switch-button:active,.bd-header-article .theme-switch-button:hover{background-color:unset!important}.bd-header-article .theme-switch-button:active i,.bd-header-article .theme-switch-button:active span,.bd-header-article .theme-switch-button:hover i,.bd-header-article .theme-switch-button:hover span{color:var(--pst-color-text-base)}.bd-header-article .dropdown-menu{top:2rem;transform:translateX(-75%);box-shadow:0 .2rem .5rem var(--pst-color-shadow),0 0 .0625rem var(--pst-color-shadow)!important;border-color:var(--pst-color-border);background-color:var(--pst-color-background);color:var(--pst-color-text-muted)}.bd-header-article .dropdown-menu:hover{display:block}.bd-header-article .dropdown-menu .dropdown-item{display:inline-flex;align-items:center;padding-left:.5em;font-size:1em}.bd-header-article .dropdown-menu .dropdown-item:hover{text-decoration:none;background-color:initial;color:var(--pst-color-text-base)}.bd-header-article .dropdown-menu .dropdown-item span img{height:1em}.bd-header-article .dropdown-menu .dropdown-item span.btn__icon-container{width:1.7em;align-items:center;display:inline-flex;justify-content:center}.bd-header{position:inherit}.bd-header label.sidebar-toggle{display:none}.bd-sidebar-primary{top:0;max-height:100vh;padding:1rem;transition:margin-left .25s ease 0s,opacity .25s ease 0s,visibility .25s ease 0s}@media (max-width:768px){.bd-sidebar-primary{z-index:1081}}.bd-sidebar-primary .sidebar-primary-items__start{border-top:none}@media (min-width:992px){.bd-sidebar-primary{flex-basis:20%}}@media (min-width:992px){input#__primary:checked~.bd-container .bd-sidebar-primary{margin-left:-20%;visibility:hidden;opacity:0}}.bd-sidebar-secondary{top:0}@media (max-width:992px){.bd-sidebar-secondary{z-index:1081}}.bd-sidebar-secondary .sidebar-secondary-items{padding:0;display:flex;gap:.5rem}.bd-sidebar-secondary .sidebar-secondary-items .sidebar-secondary-item{padding-top:0;padding-bottom:0}.bd-sidebar-secondary .onthispage{height:3rem;min-height:3rem;display:flex;gap:.5rem;align-items:center;margin:0;color:var(--pst-color-muted)}@media (min-width:992px){.bd-sidebar-secondary{background:var(--pst-color-background);height:fit-content;transition:max-height .4s ease;z-index:2;padding:0}.bd-sidebar-secondary .toc-item{border-left-color:var(--pst-color-surface);padding-top:0}.bd-sidebar-secondary .toc-item nav.page-toc{margin-bottom:0;transition:opacity .4s ease}.bd-sidebar-secondary.hide:not(:hover){max-height:3rem;overflow-y:hidden}.scrolled .bd-sidebar-secondary.hide:not(:hover){box-shadow:0 6px 6px -6px rgba(0,0,0,.3)}.bd-sidebar-secondary.hide:not(:hover) .onthispage:after{opacity:1;content:"\f107";font-family:Font Awesome\ 5 Free;font-weight:900;padding-left:.5em;transition:opacity .3s ease}.bd-sidebar-secondary.hide:not(:hover) nav.page-toc{opacity:0}}footer{font-size:var(--sbt-font-size-small-1)}footer.bd-footer-content{display:flex;flex-wrap:wrap;padding:15px;border-top:1px solid #ccc;font-size:87.5%}footer.bd-footer-content .bd-footer-content__inner{padding-left:0}footer.bd-footer-content .bd-footer-content__inner p{margin-bottom:0}.bd-footer-article{padding:0 1rem}@media (max-width:768px){.bd-footer-article{padding:0 .5rem}}#pst-back-to-top{font-size:.8rem}@media (min-width:1200px){#pst-back-to-top{display:none!important}}.bd-sidebar-primary .navbar-icon-links{column-gap:.5rem}.bd-sidebar-primary .navbar-icon-links .nav-link i,.bd-sidebar-primary .navbar-icon-links .nav-link span{font-size:1.2rem}.bd-sidebar-primary .navbar-icon-links .nav-link img{font-size:.8rem}.navbar-brand{height:unset;max-height:unset;flex-direction:column;justify-content:center;gap:.25rem}.navbar-brand:hover{text-decoration:none}.navbar-brand .logo__title{font-size:1.25rem;white-space:normal;text-align:center}.navbar-brand .logo__image{height:unset}.bd-search-container{margin:2em}.bd-search-container #search-results h2:first-child{display:none}.search-button-field{width:100%;font-size:.9rem;display:none}.search-button-field .search-button__kbd-shortcut{margin-left:auto}@media (min-width:992px){.search-button{display:none!important}.search-button-field{display:flex}}div#searchbox{padding-right:2rem;padding-left:2rem}@media (max-width:768px){div#searchbox{padding-right:1rem;padding-left:1rem}}@media (min-width:768px){div#searchbox p.highlight-link{margin-left:0}div#searchbox p.highlight-link a{font-size:1rem}}img{max-width:100%}img.align-center{margin-left:auto;margin-right:auto;display:block}img.align-left{clear:left;float:left;margin-right:1em}img.align-right{clear:right;float:right;margin-left:1em}div.figure{width:100%;margin-bottom:1em;text-align:center}div.figure.align-left{text-align:left}div.figure.align-left p.caption{margin-left:0}div.figure.align-right{text-align:right}div.figure.align-right p.caption{margin-right:0}div.figure p.caption{margin:.5em 10%}div.figure.margin-caption p.caption,div.figure.margin p.caption{margin:.5em 0}div.figure.margin-caption p.caption{text-align:left}div.figure span.caption-number{font-weight:700}div.figure span{font-size:.9rem}label.margin-toggle{margin-bottom:0}label.margin-toggle.marginnote-label{display:none}label.margin-toggle sup{user-select:none}@media (max-width:992px){label.margin-toggle{cursor:pointer;color:#0071bc}label.margin-toggle.marginnote-label{display:inline}label.margin-toggle.marginnote-label:after{content:"\2295"}}input.margin-toggle{display:none}@media (max-width:992px){input.margin-toggle:checked+.marginnote,input.margin-toggle:checked+.sidenote{display:block;float:left;left:1rem;clear:both;width:95%;margin:1rem 2.5%;position:relative}}span.marginnote,span.sidenote{z-index:2;position:relative;width:40%;float:right;background-color:unset;font-size:.9em;margin-left:.5rem;border-left:none}span.marginnote sup,span.sidenote sup{user-select:none}@media (min-width:992px),print{span.marginnote,span.sidenote{width:33%;margin:0 -36% 0 0;clear:right}span.marginnote p.sidebar-title,span.sidenote p.sidebar-title{margin-bottom:-1rem;border-bottom:none;padding-left:0}span.marginnote p.sidebar-title~*,span.sidenote p.sidebar-title~*{padding-left:0;padding-right:0}}@media (max-width:992px){span.marginnote,span.sidenote{display:none}}aside.sidebar .note{margin:1rem;padding:0 0 1rem}aside.sidebar .admonition-title{margin:0 -1rem 0 0}aside.sidebar.margin .sidebar-title:empty{display:none}aside.sidebar.margin .admonition{margin:.5rem;padding-left:0;padding-right:0}aside.sidebar.margin .admonition .admonition-title{margin-left:0;margin-right:0}@media (min-width:992px){aside.sidebar.margin{border:none}aside.sidebar.margin .admonition{margin:1rem 0;padding:0 0 1rem}}.cell.tag_margin,.cell.tag_popout,.margin.docutils.container,aside.margin,div.margin,figure.margin{z-index:2;position:relative;width:40%;float:right;background-color:unset;font-size:.9em;margin-left:.5rem}@media (min-width:992px),print{.cell.tag_margin,.cell.tag_popout,.margin.docutils.container,aside.margin,div.margin,figure.margin{width:33%;margin:0 -36% 0 0;clear:right}.cell.tag_margin p.sidebar-title,.cell.tag_popout p.sidebar-title,.margin.docutils.container p.sidebar-title,aside.margin p.sidebar-title,div.margin p.sidebar-title,figure.margin p.sidebar-title{margin-bottom:-1rem;border-bottom:none;padding-left:0}.cell.tag_margin p.sidebar-title~*,.cell.tag_popout p.sidebar-title~*,.margin.docutils.container p.sidebar-title~*,aside.margin p.sidebar-title~*,div.margin p.sidebar-title~*,figure.margin p.sidebar-title~*{padding-left:0;padding-right:0}}.cell.tag_margin div.cell.tag_margin .cell_output,.cell.tag_popout div.cell.tag_margin .cell_output,.margin.docutils.container div.cell.tag_margin .cell_output,aside.margin div.cell.tag_margin .cell_output,div.margin div.cell.tag_margin .cell_output,figure.margin div.cell.tag_margin .cell_output{padding-left:0}div.figure.margin-caption figcaption,div.figure.margin-caption p.caption,figure.margin-caption figcaption{z-index:2;position:relative;width:40%;float:right;background-color:unset;font-size:.9em;margin-left:.5rem}@media (min-width:992px),print{div.figure.margin-caption figcaption,div.figure.margin-caption p.caption,figure.margin-caption figcaption{width:33%;margin:0 -36% 0 0;clear:right}div.figure.margin-caption figcaption p.sidebar-title,div.figure.margin-caption p.caption p.sidebar-title,figure.margin-caption figcaption p.sidebar-title{margin-bottom:-1rem;border-bottom:none;padding-left:0}div.figure.margin-caption figcaption p.sidebar-title~*,div.figure.margin-caption p.caption p.sidebar-title~*,figure.margin-caption figcaption p.sidebar-title~*{padding-left:0;padding-right:0}}.margin-caption figcaption{text-align:left}div.cell.tag_full-width,div.cell.tag_full_width,div.full-width,div.full_width{z-index:2;position:relative}@media (min-width:992px){div.cell.tag_full-width,div.cell.tag_full_width,div.full-width,div.full_width{max-width:136%;width:136%}}blockquote.epigraph,blockquote.highlights,blockquote.pull-quote{font-size:1.25em;border-left:none;background-color:var(--pst-color-background)}blockquote div>p+p.attribution{font-style:normal;font-size:.9em;text-align:right;color:#6c757d;padding-right:2em}div[class*=highlight-],pre{clear:none}div.cell.tag_output_scroll div.cell_output,div.cell.tag_scroll-input div.cell_input,div.cell.tag_scroll-output div.cell_output{max-height:24em;overflow-y:auto}@media only print{div.utterances,hypothesis-sidebar{display:none}}.thebelab-cell{border:none!important;margin-right:.5em!important}.thebelab-cell .thebelab-input{padding-left:10px!important}.cell.docutils.container{padding-right:0!important}button.thebe-launch-button{height:2.5em;font-size:1em}
\ No newline at end of file
diff --git a/dev/_static/styles/theme.css b/dev/_static/styles/theme.css
index 22779d965..4519dd912 100644
--- a/dev/_static/styles/theme.css
+++ b/dev/_static/styles/theme.css
@@ -1,134 +1,2 @@
 /* Provided by Sphinx's 'basic' theme, and included in the final set of assets */
 @import "../basic.css";
-
-:root {
-  /*****************************************************************************
-  * Theme config
-  **/
-  --pst-header-height: 60px;
-
-  /*****************************************************************************
-  * Font size
-  **/
-  --pst-font-size-base: 15px; /* base font size - applied at body / html level */
-
-  /* heading font sizes */
-  --pst-font-size-h1: 36px;
-  --pst-font-size-h2: 32px;
-  --pst-font-size-h3: 26px;
-  --pst-font-size-h4: 21px;
-  --pst-font-size-h5: 18px;
-  --pst-font-size-h6: 16px;
-
-  /* smaller then heading font sizes*/
-  --pst-font-size-milli: 12px;
-
-  --pst-sidebar-font-size: 0.9em;
-  --pst-sidebar-caption-font-size: 0.9em;
-
-  /*****************************************************************************
-  * Font family
-  **/
-  /* These are adapted from https://systemfontstack.com/ */
-  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,
-    "Helvetica Neue", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,
-    Segoe UI Symbol;
-  --pst-font-family-monospace-system: "SFMono-Regular", Menlo, Consolas, Monaco,
-    Liberation Mono, Lucida Console, monospace;
-
-  --pst-font-family-base: var(--pst-font-family-base-system);
-  --pst-font-family-heading: var(--pst-font-family-base);
-  --pst-font-family-monospace: var(--pst-font-family-monospace-system);
-
-  /*****************************************************************************
-  * Color
-  *
-  * Colors are defined in rgb string way, "red, green, blue"
-  **/
-  --pst-color-primary: 19, 6, 84;
-  --pst-color-success: 40, 167, 69;
-  --pst-color-info: 0, 123, 255; /*23, 162, 184;*/
-  --pst-color-warning: 255, 193, 7;
-  --pst-color-danger: 220, 53, 69;
-  --pst-color-text-base: 51, 51, 51;
-
-  --pst-color-h1: var(--pst-color-primary);
-  --pst-color-h2: var(--pst-color-primary);
-  --pst-color-h3: var(--pst-color-text-base);
-  --pst-color-h4: var(--pst-color-text-base);
-  --pst-color-h5: var(--pst-color-text-base);
-  --pst-color-h6: var(--pst-color-text-base);
-  --pst-color-paragraph: var(--pst-color-text-base);
-  --pst-color-link: 0, 91, 129;
-  --pst-color-link-hover: 227, 46, 0;
-  --pst-color-headerlink: 198, 15, 15;
-  --pst-color-headerlink-hover: 255, 255, 255;
-  --pst-color-preformatted-text: 34, 34, 34;
-  --pst-color-preformatted-background: 250, 250, 250;
-  --pst-color-inline-code: 232, 62, 140;
-
-  --pst-color-active-navigation: 19, 6, 84;
-  --pst-color-navbar-link: 77, 77, 77;
-  --pst-color-navbar-link-hover: var(--pst-color-active-navigation);
-  --pst-color-navbar-link-active: var(--pst-color-active-navigation);
-  --pst-color-sidebar-link: 77, 77, 77;
-  --pst-color-sidebar-link-hover: var(--pst-color-active-navigation);
-  --pst-color-sidebar-link-active: var(--pst-color-active-navigation);
-  --pst-color-sidebar-expander-background-hover: 244, 244, 244;
-  --pst-color-sidebar-caption: 77, 77, 77;
-  --pst-color-toc-link: 119, 117, 122;
-  --pst-color-toc-link-hover: var(--pst-color-active-navigation);
-  --pst-color-toc-link-active: var(--pst-color-active-navigation);
-
-  /*****************************************************************************
-  * Icon
-  **/
-
-  /* font awesome icons*/
-  --pst-icon-check-circle: "\f058";
-  --pst-icon-info-circle: "\f05a";
-  --pst-icon-exclamation-triangle: "\f071";
-  --pst-icon-exclamation-circle: "\f06a";
-  --pst-icon-times-circle: "\f057";
-  --pst-icon-lightbulb: "\f0eb";
-
-  /*****************************************************************************
-  * Admonitions
-  **/
-
-  --pst-color-admonition-default: var(--pst-color-info);
-  --pst-color-admonition-note: var(--pst-color-info);
-  --pst-color-admonition-attention: var(--pst-color-warning);
-  --pst-color-admonition-caution: var(--pst-color-warning);
-  --pst-color-admonition-warning: var(--pst-color-warning);
-  --pst-color-admonition-danger: var(--pst-color-danger);
-  --pst-color-admonition-error: var(--pst-color-danger);
-  --pst-color-admonition-hint: var(--pst-color-success);
-  --pst-color-admonition-tip: var(--pst-color-success);
-  --pst-color-admonition-important: var(--pst-color-success);
-
-  --pst-icon-admonition-default: var(--pst-icon-info-circle);
-  --pst-icon-admonition-note: var(--pst-icon-info-circle);
-  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);
-  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);
-  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);
-  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);
-  --pst-icon-admonition-error: var(--pst-icon-times-circle);
-  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);
-  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);
-  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);
-
-  /*****************************************************************************
-  * versionmodified
-  **/
-
-  --pst-color-versionmodified-default: var(--pst-color-info);
-  --pst-color-versionmodified-added: var(--pst-color-success);
-  --pst-color-versionmodified-changed: var(--pst-color-warning);
-  --pst-color-versionmodified-deprecated: var(--pst-color-danger);
-
-  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);
-  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);
-  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);
-  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);
-}
diff --git a/dev/_static/underscore-1.13.1.js b/dev/_static/underscore-1.13.1.js
deleted file mode 100644
index ffd77af96..000000000
--- a/dev/_static/underscore-1.13.1.js
+++ /dev/null
@@ -1,2042 +0,0 @@
-(function (global, factory) {
-  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
-  typeof define === 'function' && define.amd ? define('underscore', factory) :
-  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
-    var current = global._;
-    var exports = global._ = factory();
-    exports.noConflict = function () { global._ = current; return exports; };
-  }()));
-}(this, (function () {
-  //     Underscore.js 1.13.1
-  //     https://underscorejs.org
-  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
-  //     Underscore may be freely distributed under the MIT license.
-
-  // Current version.
-  var VERSION = '1.13.1';
-
-  // Establish the root object, `window` (`self`) in the browser, `global`
-  // on the server, or `this` in some virtual machines. We use `self`
-  // instead of `window` for `WebWorker` support.
-  var root = typeof self == 'object' && self.self === self && self ||
-            typeof global == 'object' && global.global === global && global ||
-            Function('return this')() ||
-            {};
-
-  // Save bytes in the minified (but not gzipped) version:
-  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
-  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
-
-  // Create quick reference variables for speed access to core prototypes.
-  var push = ArrayProto.push,
-      slice = ArrayProto.slice,
-      toString = ObjProto.toString,
-      hasOwnProperty = ObjProto.hasOwnProperty;
-
-  // Modern feature detection.
-  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
-      supportsDataView = typeof DataView !== 'undefined';
-
-  // All **ECMAScript 5+** native function implementations that we hope to use
-  // are declared here.
-  var nativeIsArray = Array.isArray,
-      nativeKeys = Object.keys,
-      nativeCreate = Object.create,
-      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
-
-  // Create references to these builtin functions because we override them.
-  var _isNaN = isNaN,
-      _isFinite = isFinite;
-
-  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
-  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
-  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
-    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
-
-  // The largest integer that can be represented exactly.
-  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
-
-  // Some functions take a variable number of arguments, or a few expected
-  // arguments at the beginning and then a variable number of values to operate
-  // on. This helper accumulates all remaining arguments past the function’s
-  // argument length (or an explicit `startIndex`), into an array that becomes
-  // the last argument. Similar to ES6’s "rest parameter".
-  function restArguments(func, startIndex) {
-    startIndex = startIndex == null ? func.length - 1 : +startIndex;
-    return function() {
-      var length = Math.max(arguments.length - startIndex, 0),
-          rest = Array(length),
-          index = 0;
-      for (; index < length; index++) {
-        rest[index] = arguments[index + startIndex];
-      }
-      switch (startIndex) {
-        case 0: return func.call(this, rest);
-        case 1: return func.call(this, arguments[0], rest);
-        case 2: return func.call(this, arguments[0], arguments[1], rest);
-      }
-      var args = Array(startIndex + 1);
-      for (index = 0; index < startIndex; index++) {
-        args[index] = arguments[index];
-      }
-      args[startIndex] = rest;
-      return func.apply(this, args);
-    };
-  }
-
-  // Is a given variable an object?
-  function isObject(obj) {
-    var type = typeof obj;
-    return type === 'function' || type === 'object' && !!obj;
-  }
-
-  // Is a given value equal to null?
-  function isNull(obj) {
-    return obj === null;
-  }
-
-  // Is a given variable undefined?
-  function isUndefined(obj) {
-    return obj === void 0;
-  }
-
-  // Is a given value a boolean?
-  function isBoolean(obj) {
-    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
-  }
-
-  // Is a given value a DOM element?
-  function isElement(obj) {
-    return !!(obj && obj.nodeType === 1);
-  }
-
-  // Internal function for creating a `toString`-based type tester.
-  function tagTester(name) {
-    var tag = '[object ' + name + ']';
-    return function(obj) {
-      return toString.call(obj) === tag;
-    };
-  }
-
-  var isString = tagTester('String');
-
-  var isNumber = tagTester('Number');
-
-  var isDate = tagTester('Date');
-
-  var isRegExp = tagTester('RegExp');
-
-  var isError = tagTester('Error');
-
-  var isSymbol = tagTester('Symbol');
-
-  var isArrayBuffer = tagTester('ArrayBuffer');
-
-  var isFunction = tagTester('Function');
-
-  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
-  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
-  var nodelist = root.document && root.document.childNodes;
-  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
-    isFunction = function(obj) {
-      return typeof obj == 'function' || false;
-    };
-  }
-
-  var isFunction$1 = isFunction;
-
-  var hasObjectTag = tagTester('Object');
-
-  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
-  // In IE 11, the most common among them, this problem also applies to
-  // `Map`, `WeakMap` and `Set`.
-  var hasStringTagBug = (
-        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
-      ),
-      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
-
-  var isDataView = tagTester('DataView');
-
-  // In IE 10 - Edge 13, we need a different heuristic
-  // to determine whether an object is a `DataView`.
-  function ie10IsDataView(obj) {
-    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
-  }
-
-  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
-
-  // Is a given value an array?
-  // Delegates to ECMA5's native `Array.isArray`.
-  var isArray = nativeIsArray || tagTester('Array');
-
-  // Internal function to check whether `key` is an own property name of `obj`.
-  function has$1(obj, key) {
-    return obj != null && hasOwnProperty.call(obj, key);
-  }
-
-  var isArguments = tagTester('Arguments');
-
-  // Define a fallback version of the method in browsers (ahem, IE < 9), where
-  // there isn't any inspectable "Arguments" type.
-  (function() {
-    if (!isArguments(arguments)) {
-      isArguments = function(obj) {
-        return has$1(obj, 'callee');
-      };
-    }
-  }());
-
-  var isArguments$1 = isArguments;
-
-  // Is a given object a finite number?
-  function isFinite$1(obj) {
-    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
-  }
-
-  // Is the given value `NaN`?
-  function isNaN$1(obj) {
-    return isNumber(obj) && _isNaN(obj);
-  }
-
-  // Predicate-generating function. Often useful outside of Underscore.
-  function constant(value) {
-    return function() {
-      return value;
-    };
-  }
-
-  // Common internal logic for `isArrayLike` and `isBufferLike`.
-  function createSizePropertyCheck(getSizeProperty) {
-    return function(collection) {
-      var sizeProperty = getSizeProperty(collection);
-      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
-    }
-  }
-
-  // Internal helper to generate a function to obtain property `key` from `obj`.
-  function shallowProperty(key) {
-    return function(obj) {
-      return obj == null ? void 0 : obj[key];
-    };
-  }
-
-  // Internal helper to obtain the `byteLength` property of an object.
-  var getByteLength = shallowProperty('byteLength');
-
-  // Internal helper to determine whether we should spend extensive checks against
-  // `ArrayBuffer` et al.
-  var isBufferLike = createSizePropertyCheck(getByteLength);
-
-  // Is a given value a typed array?
-  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
-  function isTypedArray(obj) {
-    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
-    // Otherwise, fall back on the above regular expression.
-    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
-                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
-  }
-
-  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
-
-  // Internal helper to obtain the `length` property of an object.
-  var getLength = shallowProperty('length');
-
-  // Internal helper to create a simple lookup structure.
-  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
-  // circular imports. `emulatedSet` is a one-off solution that only works for
-  // arrays of strings.
-  function emulatedSet(keys) {
-    var hash = {};
-    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
-    return {
-      contains: function(key) { return hash[key]; },
-      push: function(key) {
-        hash[key] = true;
-        return keys.push(key);
-      }
-    };
-  }
-
-  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
-  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
-  // needed.
-  function collectNonEnumProps(obj, keys) {
-    keys = emulatedSet(keys);
-    var nonEnumIdx = nonEnumerableProps.length;
-    var constructor = obj.constructor;
-    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
-
-    // Constructor is a special case.
-    var prop = 'constructor';
-    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
-
-    while (nonEnumIdx--) {
-      prop = nonEnumerableProps[nonEnumIdx];
-      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
-        keys.push(prop);
-      }
-    }
-  }
-
-  // Retrieve the names of an object's own properties.
-  // Delegates to **ECMAScript 5**'s native `Object.keys`.
-  function keys(obj) {
-    if (!isObject(obj)) return [];
-    if (nativeKeys) return nativeKeys(obj);
-    var keys = [];
-    for (var key in obj) if (has$1(obj, key)) keys.push(key);
-    // Ahem, IE < 9.
-    if (hasEnumBug) collectNonEnumProps(obj, keys);
-    return keys;
-  }
-
-  // Is a given array, string, or object empty?
-  // An "empty" object has no enumerable own-properties.
-  function isEmpty(obj) {
-    if (obj == null) return true;
-    // Skip the more expensive `toString`-based type checks if `obj` has no
-    // `.length`.
-    var length = getLength(obj);
-    if (typeof length == 'number' && (
-      isArray(obj) || isString(obj) || isArguments$1(obj)
-    )) return length === 0;
-    return getLength(keys(obj)) === 0;
-  }
-
-  // Returns whether an object has a given set of `key:value` pairs.
-  function isMatch(object, attrs) {
-    var _keys = keys(attrs), length = _keys.length;
-    if (object == null) return !length;
-    var obj = Object(object);
-    for (var i = 0; i < length; i++) {
-      var key = _keys[i];
-      if (attrs[key] !== obj[key] || !(key in obj)) return false;
-    }
-    return true;
-  }
-
-  // If Underscore is called as a function, it returns a wrapped object that can
-  // be used OO-style. This wrapper holds altered versions of all functions added
-  // through `_.mixin`. Wrapped objects may be chained.
-  function _$1(obj) {
-    if (obj instanceof _$1) return obj;
-    if (!(this instanceof _$1)) return new _$1(obj);
-    this._wrapped = obj;
-  }
-
-  _$1.VERSION = VERSION;
-
-  // Extracts the result from a wrapped and chained object.
-  _$1.prototype.value = function() {
-    return this._wrapped;
-  };
-
-  // Provide unwrapping proxies for some methods used in engine operations
-  // such as arithmetic and JSON stringification.
-  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
-
-  _$1.prototype.toString = function() {
-    return String(this._wrapped);
-  };
-
-  // Internal function to wrap or shallow-copy an ArrayBuffer,
-  // typed array or DataView to a new view, reusing the buffer.
-  function toBufferView(bufferSource) {
-    return new Uint8Array(
-      bufferSource.buffer || bufferSource,
-      bufferSource.byteOffset || 0,
-      getByteLength(bufferSource)
-    );
-  }
-
-  // We use this string twice, so give it a name for minification.
-  var tagDataView = '[object DataView]';
-
-  // Internal recursive comparison function for `_.isEqual`.
-  function eq(a, b, aStack, bStack) {
-    // Identical objects are equal. `0 === -0`, but they aren't identical.
-    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
-    if (a === b) return a !== 0 || 1 / a === 1 / b;
-    // `null` or `undefined` only equal to itself (strict comparison).
-    if (a == null || b == null) return false;
-    // `NaN`s are equivalent, but non-reflexive.
-    if (a !== a) return b !== b;
-    // Exhaust primitive checks
-    var type = typeof a;
-    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
-    return deepEq(a, b, aStack, bStack);
-  }
-
-  // Internal recursive comparison function for `_.isEqual`.
-  function deepEq(a, b, aStack, bStack) {
-    // Unwrap any wrapped objects.
-    if (a instanceof _$1) a = a._wrapped;
-    if (b instanceof _$1) b = b._wrapped;
-    // Compare `[[Class]]` names.
-    var className = toString.call(a);
-    if (className !== toString.call(b)) return false;
-    // Work around a bug in IE 10 - Edge 13.
-    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
-      if (!isDataView$1(b)) return false;
-      className = tagDataView;
-    }
-    switch (className) {
-      // These types are compared by value.
-      case '[object RegExp]':
-        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
-      case '[object String]':
-        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
-        // equivalent to `new String("5")`.
-        return '' + a === '' + b;
-      case '[object Number]':
-        // `NaN`s are equivalent, but non-reflexive.
-        // Object(NaN) is equivalent to NaN.
-        if (+a !== +a) return +b !== +b;
-        // An `egal` comparison is performed for other numeric values.
-        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
-      case '[object Date]':
-      case '[object Boolean]':
-        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
-        // millisecond representations. Note that invalid dates with millisecond representations
-        // of `NaN` are not equivalent.
-        return +a === +b;
-      case '[object Symbol]':
-        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
-      case '[object ArrayBuffer]':
-      case tagDataView:
-        // Coerce to typed array so we can fall through.
-        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
-    }
-
-    var areArrays = className === '[object Array]';
-    if (!areArrays && isTypedArray$1(a)) {
-        var byteLength = getByteLength(a);
-        if (byteLength !== getByteLength(b)) return false;
-        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
-        areArrays = true;
-    }
-    if (!areArrays) {
-      if (typeof a != 'object' || typeof b != 'object') return false;
-
-      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
-      // from different frames are.
-      var aCtor = a.constructor, bCtor = b.constructor;
-      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
-                               isFunction$1(bCtor) && bCtor instanceof bCtor)
-                          && ('constructor' in a && 'constructor' in b)) {
-        return false;
-      }
-    }
-    // Assume equality for cyclic structures. The algorithm for detecting cyclic
-    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
-
-    // Initializing stack of traversed objects.
-    // It's done here since we only need them for objects and arrays comparison.
-    aStack = aStack || [];
-    bStack = bStack || [];
-    var length = aStack.length;
-    while (length--) {
-      // Linear search. Performance is inversely proportional to the number of
-      // unique nested structures.
-      if (aStack[length] === a) return bStack[length] === b;
-    }
-
-    // Add the first object to the stack of traversed objects.
-    aStack.push(a);
-    bStack.push(b);
-
-    // Recursively compare objects and arrays.
-    if (areArrays) {
-      // Compare array lengths to determine if a deep comparison is necessary.
-      length = a.length;
-      if (length !== b.length) return false;
-      // Deep compare the contents, ignoring non-numeric properties.
-      while (length--) {
-        if (!eq(a[length], b[length], aStack, bStack)) return false;
-      }
-    } else {
-      // Deep compare objects.
-      var _keys = keys(a), key;
-      length = _keys.length;
-      // Ensure that both objects contain the same number of properties before comparing deep equality.
-      if (keys(b).length !== length) return false;
-      while (length--) {
-        // Deep compare each member
-        key = _keys[length];
-        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
-      }
-    }
-    // Remove the first object from the stack of traversed objects.
-    aStack.pop();
-    bStack.pop();
-    return true;
-  }
-
-  // Perform a deep comparison to check if two objects are equal.
-  function isEqual(a, b) {
-    return eq(a, b);
-  }
-
-  // Retrieve all the enumerable property names of an object.
-  function allKeys(obj) {
-    if (!isObject(obj)) return [];
-    var keys = [];
-    for (var key in obj) keys.push(key);
-    // Ahem, IE < 9.
-    if (hasEnumBug) collectNonEnumProps(obj, keys);
-    return keys;
-  }
-
-  // Since the regular `Object.prototype.toString` type tests don't work for
-  // some types in IE 11, we use a fingerprinting heuristic instead, based
-  // on the methods. It's not great, but it's the best we got.
-  // The fingerprint method lists are defined below.
-  function ie11fingerprint(methods) {
-    var length = getLength(methods);
-    return function(obj) {
-      if (obj == null) return false;
-      // `Map`, `WeakMap` and `Set` have no enumerable keys.
-      var keys = allKeys(obj);
-      if (getLength(keys)) return false;
-      for (var i = 0; i < length; i++) {
-        if (!isFunction$1(obj[methods[i]])) return false;
-      }
-      // If we are testing against `WeakMap`, we need to ensure that
-      // `obj` doesn't have a `forEach` method in order to distinguish
-      // it from a regular `Map`.
-      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
-    };
-  }
-
-  // In the interest of compact minification, we write
-  // each string in the fingerprints only once.
-  var forEachName = 'forEach',
-      hasName = 'has',
-      commonInit = ['clear', 'delete'],
-      mapTail = ['get', hasName, 'set'];
-
-  // `Map`, `WeakMap` and `Set` each have slightly different
-  // combinations of the above sublists.
-  var mapMethods = commonInit.concat(forEachName, mapTail),
-      weakMapMethods = commonInit.concat(mapTail),
-      setMethods = ['add'].concat(commonInit, forEachName, hasName);
-
-  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
-
-  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
-
-  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
-
-  var isWeakSet = tagTester('WeakSet');
-
-  // Retrieve the values of an object's properties.
-  function values(obj) {
-    var _keys = keys(obj);
-    var length = _keys.length;
-    var values = Array(length);
-    for (var i = 0; i < length; i++) {
-      values[i] = obj[_keys[i]];
-    }
-    return values;
-  }
-
-  // Convert an object into a list of `[key, value]` pairs.
-  // The opposite of `_.object` with one argument.
-  function pairs(obj) {
-    var _keys = keys(obj);
-    var length = _keys.length;
-    var pairs = Array(length);
-    for (var i = 0; i < length; i++) {
-      pairs[i] = [_keys[i], obj[_keys[i]]];
-    }
-    return pairs;
-  }
-
-  // Invert the keys and values of an object. The values must be serializable.
-  function invert(obj) {
-    var result = {};
-    var _keys = keys(obj);
-    for (var i = 0, length = _keys.length; i < length; i++) {
-      result[obj[_keys[i]]] = _keys[i];
-    }
-    return result;
-  }
-
-  // Return a sorted list of the function names available on the object.
-  function functions(obj) {
-    var names = [];
-    for (var key in obj) {
-      if (isFunction$1(obj[key])) names.push(key);
-    }
-    return names.sort();
-  }
-
-  // An internal function for creating assigner functions.
-  function createAssigner(keysFunc, defaults) {
-    return function(obj) {
-      var length = arguments.length;
-      if (defaults) obj = Object(obj);
-      if (length < 2 || obj == null) return obj;
-      for (var index = 1; index < length; index++) {
-        var source = arguments[index],
-            keys = keysFunc(source),
-            l = keys.length;
-        for (var i = 0; i < l; i++) {
-          var key = keys[i];
-          if (!defaults || obj[key] === void 0) obj[key] = source[key];
-        }
-      }
-      return obj;
-    };
-  }
-
-  // Extend a given object with all the properties in passed-in object(s).
-  var extend = createAssigner(allKeys);
-
-  // Assigns a given object with all the own properties in the passed-in
-  // object(s).
-  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
-  var extendOwn = createAssigner(keys);
-
-  // Fill in a given object with default properties.
-  var defaults = createAssigner(allKeys, true);
-
-  // Create a naked function reference for surrogate-prototype-swapping.
-  function ctor() {
-    return function(){};
-  }
-
-  // An internal function for creating a new object that inherits from another.
-  function baseCreate(prototype) {
-    if (!isObject(prototype)) return {};
-    if (nativeCreate) return nativeCreate(prototype);
-    var Ctor = ctor();
-    Ctor.prototype = prototype;
-    var result = new Ctor;
-    Ctor.prototype = null;
-    return result;
-  }
-
-  // Creates an object that inherits from the given prototype object.
-  // If additional properties are provided then they will be added to the
-  // created object.
-  function create(prototype, props) {
-    var result = baseCreate(prototype);
-    if (props) extendOwn(result, props);
-    return result;
-  }
-
-  // Create a (shallow-cloned) duplicate of an object.
-  function clone(obj) {
-    if (!isObject(obj)) return obj;
-    return isArray(obj) ? obj.slice() : extend({}, obj);
-  }
-
-  // Invokes `interceptor` with the `obj` and then returns `obj`.
-  // The primary purpose of this method is to "tap into" a method chain, in
-  // order to perform operations on intermediate results within the chain.
-  function tap(obj, interceptor) {
-    interceptor(obj);
-    return obj;
-  }
-
-  // Normalize a (deep) property `path` to array.
-  // Like `_.iteratee`, this function can be customized.
-  function toPath$1(path) {
-    return isArray(path) ? path : [path];
-  }
-  _$1.toPath = toPath$1;
-
-  // Internal wrapper for `_.toPath` to enable minification.
-  // Similar to `cb` for `_.iteratee`.
-  function toPath(path) {
-    return _$1.toPath(path);
-  }
-
-  // Internal function to obtain a nested property in `obj` along `path`.
-  function deepGet(obj, path) {
-    var length = path.length;
-    for (var i = 0; i < length; i++) {
-      if (obj == null) return void 0;
-      obj = obj[path[i]];
-    }
-    return length ? obj : void 0;
-  }
-
-  // Get the value of the (deep) property on `path` from `object`.
-  // If any property in `path` does not exist or if the value is
-  // `undefined`, return `defaultValue` instead.
-  // The `path` is normalized through `_.toPath`.
-  function get(object, path, defaultValue) {
-    var value = deepGet(object, toPath(path));
-    return isUndefined(value) ? defaultValue : value;
-  }
-
-  // Shortcut function for checking if an object has a given property directly on
-  // itself (in other words, not on a prototype). Unlike the internal `has`
-  // function, this public version can also traverse nested properties.
-  function has(obj, path) {
-    path = toPath(path);
-    var length = path.length;
-    for (var i = 0; i < length; i++) {
-      var key = path[i];
-      if (!has$1(obj, key)) return false;
-      obj = obj[key];
-    }
-    return !!length;
-  }
-
-  // Keep the identity function around for default iteratees.
-  function identity(value) {
-    return value;
-  }
-
-  // Returns a predicate for checking whether an object has a given set of
-  // `key:value` pairs.
-  function matcher(attrs) {
-    attrs = extendOwn({}, attrs);
-    return function(obj) {
-      return isMatch(obj, attrs);
-    };
-  }
-
-  // Creates a function that, when passed an object, will traverse that object’s
-  // properties down the given `path`, specified as an array of keys or indices.
-  function property(path) {
-    path = toPath(path);
-    return function(obj) {
-      return deepGet(obj, path);
-    };
-  }
-
-  // Internal function that returns an efficient (for current engines) version
-  // of the passed-in callback, to be repeatedly applied in other Underscore
-  // functions.
-  function optimizeCb(func, context, argCount) {
-    if (context === void 0) return func;
-    switch (argCount == null ? 3 : argCount) {
-      case 1: return function(value) {
-        return func.call(context, value);
-      };
-      // The 2-argument case is omitted because we’re not using it.
-      case 3: return function(value, index, collection) {
-        return func.call(context, value, index, collection);
-      };
-      case 4: return function(accumulator, value, index, collection) {
-        return func.call(context, accumulator, value, index, collection);
-      };
-    }
-    return function() {
-      return func.apply(context, arguments);
-    };
-  }
-
-  // An internal function to generate callbacks that can be applied to each
-  // element in a collection, returning the desired result — either `_.identity`,
-  // an arbitrary callback, a property matcher, or a property accessor.
-  function baseIteratee(value, context, argCount) {
-    if (value == null) return identity;
-    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
-    if (isObject(value) && !isArray(value)) return matcher(value);
-    return property(value);
-  }
-
-  // External wrapper for our callback generator. Users may customize
-  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
-  // This abstraction hides the internal-only `argCount` argument.
-  function iteratee(value, context) {
-    return baseIteratee(value, context, Infinity);
-  }
-  _$1.iteratee = iteratee;
-
-  // The function we call internally to generate a callback. It invokes
-  // `_.iteratee` if overridden, otherwise `baseIteratee`.
-  function cb(value, context, argCount) {
-    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
-    return baseIteratee(value, context, argCount);
-  }
-
-  // Returns the results of applying the `iteratee` to each element of `obj`.
-  // In contrast to `_.map` it returns an object.
-  function mapObject(obj, iteratee, context) {
-    iteratee = cb(iteratee, context);
-    var _keys = keys(obj),
-        length = _keys.length,
-        results = {};
-    for (var index = 0; index < length; index++) {
-      var currentKey = _keys[index];
-      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
-    }
-    return results;
-  }
-
-  // Predicate-generating function. Often useful outside of Underscore.
-  function noop(){}
-
-  // Generates a function for a given object that returns a given property.
-  function propertyOf(obj) {
-    if (obj == null) return noop;
-    return function(path) {
-      return get(obj, path);
-    };
-  }
-
-  // Run a function **n** times.
-  function times(n, iteratee, context) {
-    var accum = Array(Math.max(0, n));
-    iteratee = optimizeCb(iteratee, context, 1);
-    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
-    return accum;
-  }
-
-  // Return a random integer between `min` and `max` (inclusive).
-  function random(min, max) {
-    if (max == null) {
-      max = min;
-      min = 0;
-    }
-    return min + Math.floor(Math.random() * (max - min + 1));
-  }
-
-  // A (possibly faster) way to get the current timestamp as an integer.
-  var now = Date.now || function() {
-    return new Date().getTime();
-  };
-
-  // Internal helper to generate functions for escaping and unescaping strings
-  // to/from HTML interpolation.
-  function createEscaper(map) {
-    var escaper = function(match) {
-      return map[match];
-    };
-    // Regexes for identifying a key that needs to be escaped.
-    var source = '(?:' + keys(map).join('|') + ')';
-    var testRegexp = RegExp(source);
-    var replaceRegexp = RegExp(source, 'g');
-    return function(string) {
-      string = string == null ? '' : '' + string;
-      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
-    };
-  }
-
-  // Internal list of HTML entities for escaping.
-  var escapeMap = {
-    '&': '&amp;',
-    '<': '&lt;',
-    '>': '&gt;',
-    '"': '&quot;',
-    "'": '&#x27;',
-    '`': '&#x60;'
-  };
-
-  // Function for escaping strings to HTML interpolation.
-  var _escape = createEscaper(escapeMap);
-
-  // Internal list of HTML entities for unescaping.
-  var unescapeMap = invert(escapeMap);
-
-  // Function for unescaping strings from HTML interpolation.
-  var _unescape = createEscaper(unescapeMap);
-
-  // By default, Underscore uses ERB-style template delimiters. Change the
-  // following template settings to use alternative delimiters.
-  var templateSettings = _$1.templateSettings = {
-    evaluate: /<%([\s\S]+?)%>/g,
-    interpolate: /<%=([\s\S]+?)%>/g,
-    escape: /<%-([\s\S]+?)%>/g
-  };
-
-  // When customizing `_.templateSettings`, if you don't want to define an
-  // interpolation, evaluation or escaping regex, we need one that is
-  // guaranteed not to match.
-  var noMatch = /(.)^/;
-
-  // Certain characters need to be escaped so that they can be put into a
-  // string literal.
-  var escapes = {
-    "'": "'",
-    '\\': '\\',
-    '\r': 'r',
-    '\n': 'n',
-    '\u2028': 'u2028',
-    '\u2029': 'u2029'
-  };
-
-  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
-
-  function escapeChar(match) {
-    return '\\' + escapes[match];
-  }
-
-  // In order to prevent third-party code injection through
-  // `_.templateSettings.variable`, we test it against the following regular
-  // expression. It is intentionally a bit more liberal than just matching valid
-  // identifiers, but still prevents possible loopholes through defaults or
-  // destructuring assignment.
-  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
-
-  // JavaScript micro-templating, similar to John Resig's implementation.
-  // Underscore templating handles arbitrary delimiters, preserves whitespace,
-  // and correctly escapes quotes within interpolated code.
-  // NB: `oldSettings` only exists for backwards compatibility.
-  function template(text, settings, oldSettings) {
-    if (!settings && oldSettings) settings = oldSettings;
-    settings = defaults({}, settings, _$1.templateSettings);
-
-    // Combine delimiters into one regular expression via alternation.
-    var matcher = RegExp([
-      (settings.escape || noMatch).source,
-      (settings.interpolate || noMatch).source,
-      (settings.evaluate || noMatch).source
-    ].join('|') + '|$', 'g');
-
-    // Compile the template source, escaping string literals appropriately.
-    var index = 0;
-    var source = "__p+='";
-    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
-      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
-      index = offset + match.length;
-
-      if (escape) {
-        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
-      } else if (interpolate) {
-        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
-      } else if (evaluate) {
-        source += "';\n" + evaluate + "\n__p+='";
-      }
-
-      // Adobe VMs need the match returned to produce the correct offset.
-      return match;
-    });
-    source += "';\n";
-
-    var argument = settings.variable;
-    if (argument) {
-      // Insure against third-party code injection. (CVE-2021-23358)
-      if (!bareIdentifier.test(argument)) throw new Error(
-        'variable is not a bare identifier: ' + argument
-      );
-    } else {
-      // If a variable is not specified, place data values in local scope.
-      source = 'with(obj||{}){\n' + source + '}\n';
-      argument = 'obj';
-    }
-
-    source = "var __t,__p='',__j=Array.prototype.join," +
-      "print=function(){__p+=__j.call(arguments,'');};\n" +
-      source + 'return __p;\n';
-
-    var render;
-    try {
-      render = new Function(argument, '_', source);
-    } catch (e) {
-      e.source = source;
-      throw e;
-    }
-
-    var template = function(data) {
-      return render.call(this, data, _$1);
-    };
-
-    // Provide the compiled source as a convenience for precompilation.
-    template.source = 'function(' + argument + '){\n' + source + '}';
-
-    return template;
-  }
-
-  // Traverses the children of `obj` along `path`. If a child is a function, it
-  // is invoked with its parent as context. Returns the value of the final
-  // child, or `fallback` if any child is undefined.
-  function result(obj, path, fallback) {
-    path = toPath(path);
-    var length = path.length;
-    if (!length) {
-      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
-    }
-    for (var i = 0; i < length; i++) {
-      var prop = obj == null ? void 0 : obj[path[i]];
-      if (prop === void 0) {
-        prop = fallback;
-        i = length; // Ensure we don't continue iterating.
-      }
-      obj = isFunction$1(prop) ? prop.call(obj) : prop;
-    }
-    return obj;
-  }
-
-  // Generate a unique integer id (unique within the entire client session).
-  // Useful for temporary DOM ids.
-  var idCounter = 0;
-  function uniqueId(prefix) {
-    var id = ++idCounter + '';
-    return prefix ? prefix + id : id;
-  }
-
-  // Start chaining a wrapped Underscore object.
-  function chain(obj) {
-    var instance = _$1(obj);
-    instance._chain = true;
-    return instance;
-  }
-
-  // Internal function to execute `sourceFunc` bound to `context` with optional
-  // `args`. Determines whether to execute a function as a constructor or as a
-  // normal function.
-  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
-    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
-    var self = baseCreate(sourceFunc.prototype);
-    var result = sourceFunc.apply(self, args);
-    if (isObject(result)) return result;
-    return self;
-  }
-
-  // Partially apply a function by creating a version that has had some of its
-  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
-  // as a placeholder by default, allowing any combination of arguments to be
-  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
-  var partial = restArguments(function(func, boundArgs) {
-    var placeholder = partial.placeholder;
-    var bound = function() {
-      var position = 0, length = boundArgs.length;
-      var args = Array(length);
-      for (var i = 0; i < length; i++) {
-        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
-      }
-      while (position < arguments.length) args.push(arguments[position++]);
-      return executeBound(func, bound, this, this, args);
-    };
-    return bound;
-  });
-
-  partial.placeholder = _$1;
-
-  // Create a function bound to a given object (assigning `this`, and arguments,
-  // optionally).
-  var bind = restArguments(function(func, context, args) {
-    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
-    var bound = restArguments(function(callArgs) {
-      return executeBound(func, bound, context, this, args.concat(callArgs));
-    });
-    return bound;
-  });
-
-  // Internal helper for collection methods to determine whether a collection
-  // should be iterated as an array or as an object.
-  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
-  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
-  var isArrayLike = createSizePropertyCheck(getLength);
-
-  // Internal implementation of a recursive `flatten` function.
-  function flatten$1(input, depth, strict, output) {
-    output = output || [];
-    if (!depth && depth !== 0) {
-      depth = Infinity;
-    } else if (depth <= 0) {
-      return output.concat(input);
-    }
-    var idx = output.length;
-    for (var i = 0, length = getLength(input); i < length; i++) {
-      var value = input[i];
-      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
-        // Flatten current level of array or arguments object.
-        if (depth > 1) {
-          flatten$1(value, depth - 1, strict, output);
-          idx = output.length;
-        } else {
-          var j = 0, len = value.length;
-          while (j < len) output[idx++] = value[j++];
-        }
-      } else if (!strict) {
-        output[idx++] = value;
-      }
-    }
-    return output;
-  }
-
-  // Bind a number of an object's methods to that object. Remaining arguments
-  // are the method names to be bound. Useful for ensuring that all callbacks
-  // defined on an object belong to it.
-  var bindAll = restArguments(function(obj, keys) {
-    keys = flatten$1(keys, false, false);
-    var index = keys.length;
-    if (index < 1) throw new Error('bindAll must be passed function names');
-    while (index--) {
-      var key = keys[index];
-      obj[key] = bind(obj[key], obj);
-    }
-    return obj;
-  });
-
-  // Memoize an expensive function by storing its results.
-  function memoize(func, hasher) {
-    var memoize = function(key) {
-      var cache = memoize.cache;
-      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
-      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
-      return cache[address];
-    };
-    memoize.cache = {};
-    return memoize;
-  }
-
-  // Delays a function for the given number of milliseconds, and then calls
-  // it with the arguments supplied.
-  var delay = restArguments(function(func, wait, args) {
-    return setTimeout(function() {
-      return func.apply(null, args);
-    }, wait);
-  });
-
-  // Defers a function, scheduling it to run after the current call stack has
-  // cleared.
-  var defer = partial(delay, _$1, 1);
-
-  // Returns a function, that, when invoked, will only be triggered at most once
-  // during a given window of time. Normally, the throttled function will run
-  // as much as it can, without ever going more than once per `wait` duration;
-  // but if you'd like to disable the execution on the leading edge, pass
-  // `{leading: false}`. To disable execution on the trailing edge, ditto.
-  function throttle(func, wait, options) {
-    var timeout, context, args, result;
-    var previous = 0;
-    if (!options) options = {};
-
-    var later = function() {
-      previous = options.leading === false ? 0 : now();
-      timeout = null;
-      result = func.apply(context, args);
-      if (!timeout) context = args = null;
-    };
-
-    var throttled = function() {
-      var _now = now();
-      if (!previous && options.leading === false) previous = _now;
-      var remaining = wait - (_now - previous);
-      context = this;
-      args = arguments;
-      if (remaining <= 0 || remaining > wait) {
-        if (timeout) {
-          clearTimeout(timeout);
-          timeout = null;
-        }
-        previous = _now;
-        result = func.apply(context, args);
-        if (!timeout) context = args = null;
-      } else if (!timeout && options.trailing !== false) {
-        timeout = setTimeout(later, remaining);
-      }
-      return result;
-    };
-
-    throttled.cancel = function() {
-      clearTimeout(timeout);
-      previous = 0;
-      timeout = context = args = null;
-    };
-
-    return throttled;
-  }
-
-  // When a sequence of calls of the returned function ends, the argument
-  // function is triggered. The end of a sequence is defined by the `wait`
-  // parameter. If `immediate` is passed, the argument function will be
-  // triggered at the beginning of the sequence instead of at the end.
-  function debounce(func, wait, immediate) {
-    var timeout, previous, args, result, context;
-
-    var later = function() {
-      var passed = now() - previous;
-      if (wait > passed) {
-        timeout = setTimeout(later, wait - passed);
-      } else {
-        timeout = null;
-        if (!immediate) result = func.apply(context, args);
-        // This check is needed because `func` can recursively invoke `debounced`.
-        if (!timeout) args = context = null;
-      }
-    };
-
-    var debounced = restArguments(function(_args) {
-      context = this;
-      args = _args;
-      previous = now();
-      if (!timeout) {
-        timeout = setTimeout(later, wait);
-        if (immediate) result = func.apply(context, args);
-      }
-      return result;
-    });
-
-    debounced.cancel = function() {
-      clearTimeout(timeout);
-      timeout = args = context = null;
-    };
-
-    return debounced;
-  }
-
-  // Returns the first function passed as an argument to the second,
-  // allowing you to adjust arguments, run code before and after, and
-  // conditionally execute the original function.
-  function wrap(func, wrapper) {
-    return partial(wrapper, func);
-  }
-
-  // Returns a negated version of the passed-in predicate.
-  function negate(predicate) {
-    return function() {
-      return !predicate.apply(this, arguments);
-    };
-  }
-
-  // Returns a function that is the composition of a list of functions, each
-  // consuming the return value of the function that follows.
-  function compose() {
-    var args = arguments;
-    var start = args.length - 1;
-    return function() {
-      var i = start;
-      var result = args[start].apply(this, arguments);
-      while (i--) result = args[i].call(this, result);
-      return result;
-    };
-  }
-
-  // Returns a function that will only be executed on and after the Nth call.
-  function after(times, func) {
-    return function() {
-      if (--times < 1) {
-        return func.apply(this, arguments);
-      }
-    };
-  }
-
-  // Returns a function that will only be executed up to (but not including) the
-  // Nth call.
-  function before(times, func) {
-    var memo;
-    return function() {
-      if (--times > 0) {
-        memo = func.apply(this, arguments);
-      }
-      if (times <= 1) func = null;
-      return memo;
-    };
-  }
-
-  // Returns a function that will be executed at most one time, no matter how
-  // often you call it. Useful for lazy initialization.
-  var once = partial(before, 2);
-
-  // Returns the first key on an object that passes a truth test.
-  function findKey(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var _keys = keys(obj), key;
-    for (var i = 0, length = _keys.length; i < length; i++) {
-      key = _keys[i];
-      if (predicate(obj[key], key, obj)) return key;
-    }
-  }
-
-  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
-  function createPredicateIndexFinder(dir) {
-    return function(array, predicate, context) {
-      predicate = cb(predicate, context);
-      var length = getLength(array);
-      var index = dir > 0 ? 0 : length - 1;
-      for (; index >= 0 && index < length; index += dir) {
-        if (predicate(array[index], index, array)) return index;
-      }
-      return -1;
-    };
-  }
-
-  // Returns the first index on an array-like that passes a truth test.
-  var findIndex = createPredicateIndexFinder(1);
-
-  // Returns the last index on an array-like that passes a truth test.
-  var findLastIndex = createPredicateIndexFinder(-1);
-
-  // Use a comparator function to figure out the smallest index at which
-  // an object should be inserted so as to maintain order. Uses binary search.
-  function sortedIndex(array, obj, iteratee, context) {
-    iteratee = cb(iteratee, context, 1);
-    var value = iteratee(obj);
-    var low = 0, high = getLength(array);
-    while (low < high) {
-      var mid = Math.floor((low + high) / 2);
-      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
-    }
-    return low;
-  }
-
-  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
-  function createIndexFinder(dir, predicateFind, sortedIndex) {
-    return function(array, item, idx) {
-      var i = 0, length = getLength(array);
-      if (typeof idx == 'number') {
-        if (dir > 0) {
-          i = idx >= 0 ? idx : Math.max(idx + length, i);
-        } else {
-          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
-        }
-      } else if (sortedIndex && idx && length) {
-        idx = sortedIndex(array, item);
-        return array[idx] === item ? idx : -1;
-      }
-      if (item !== item) {
-        idx = predicateFind(slice.call(array, i, length), isNaN$1);
-        return idx >= 0 ? idx + i : -1;
-      }
-      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
-        if (array[idx] === item) return idx;
-      }
-      return -1;
-    };
-  }
-
-  // Return the position of the first occurrence of an item in an array,
-  // or -1 if the item is not included in the array.
-  // If the array is large and already in sort order, pass `true`
-  // for **isSorted** to use binary search.
-  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
-
-  // Return the position of the last occurrence of an item in an array,
-  // or -1 if the item is not included in the array.
-  var lastIndexOf = createIndexFinder(-1, findLastIndex);
-
-  // Return the first value which passes a truth test.
-  function find(obj, predicate, context) {
-    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
-    var key = keyFinder(obj, predicate, context);
-    if (key !== void 0 && key !== -1) return obj[key];
-  }
-
-  // Convenience version of a common use case of `_.find`: getting the first
-  // object containing specific `key:value` pairs.
-  function findWhere(obj, attrs) {
-    return find(obj, matcher(attrs));
-  }
-
-  // The cornerstone for collection functions, an `each`
-  // implementation, aka `forEach`.
-  // Handles raw objects in addition to array-likes. Treats all
-  // sparse array-likes as if they were dense.
-  function each(obj, iteratee, context) {
-    iteratee = optimizeCb(iteratee, context);
-    var i, length;
-    if (isArrayLike(obj)) {
-      for (i = 0, length = obj.length; i < length; i++) {
-        iteratee(obj[i], i, obj);
-      }
-    } else {
-      var _keys = keys(obj);
-      for (i = 0, length = _keys.length; i < length; i++) {
-        iteratee(obj[_keys[i]], _keys[i], obj);
-      }
-    }
-    return obj;
-  }
-
-  // Return the results of applying the iteratee to each element.
-  function map(obj, iteratee, context) {
-    iteratee = cb(iteratee, context);
-    var _keys = !isArrayLike(obj) && keys(obj),
-        length = (_keys || obj).length,
-        results = Array(length);
-    for (var index = 0; index < length; index++) {
-      var currentKey = _keys ? _keys[index] : index;
-      results[index] = iteratee(obj[currentKey], currentKey, obj);
-    }
-    return results;
-  }
-
-  // Internal helper to create a reducing function, iterating left or right.
-  function createReduce(dir) {
-    // Wrap code that reassigns argument variables in a separate function than
-    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
-    var reducer = function(obj, iteratee, memo, initial) {
-      var _keys = !isArrayLike(obj) && keys(obj),
-          length = (_keys || obj).length,
-          index = dir > 0 ? 0 : length - 1;
-      if (!initial) {
-        memo = obj[_keys ? _keys[index] : index];
-        index += dir;
-      }
-      for (; index >= 0 && index < length; index += dir) {
-        var currentKey = _keys ? _keys[index] : index;
-        memo = iteratee(memo, obj[currentKey], currentKey, obj);
-      }
-      return memo;
-    };
-
-    return function(obj, iteratee, memo, context) {
-      var initial = arguments.length >= 3;
-      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
-    };
-  }
-
-  // **Reduce** builds up a single result from a list of values, aka `inject`,
-  // or `foldl`.
-  var reduce = createReduce(1);
-
-  // The right-associative version of reduce, also known as `foldr`.
-  var reduceRight = createReduce(-1);
-
-  // Return all the elements that pass a truth test.
-  function filter(obj, predicate, context) {
-    var results = [];
-    predicate = cb(predicate, context);
-    each(obj, function(value, index, list) {
-      if (predicate(value, index, list)) results.push(value);
-    });
-    return results;
-  }
-
-  // Return all the elements for which a truth test fails.
-  function reject(obj, predicate, context) {
-    return filter(obj, negate(cb(predicate)), context);
-  }
-
-  // Determine whether all of the elements pass a truth test.
-  function every(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var _keys = !isArrayLike(obj) && keys(obj),
-        length = (_keys || obj).length;
-    for (var index = 0; index < length; index++) {
-      var currentKey = _keys ? _keys[index] : index;
-      if (!predicate(obj[currentKey], currentKey, obj)) return false;
-    }
-    return true;
-  }
-
-  // Determine if at least one element in the object passes a truth test.
-  function some(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var _keys = !isArrayLike(obj) && keys(obj),
-        length = (_keys || obj).length;
-    for (var index = 0; index < length; index++) {
-      var currentKey = _keys ? _keys[index] : index;
-      if (predicate(obj[currentKey], currentKey, obj)) return true;
-    }
-    return false;
-  }
-
-  // Determine if the array or object contains a given item (using `===`).
-  function contains(obj, item, fromIndex, guard) {
-    if (!isArrayLike(obj)) obj = values(obj);
-    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
-    return indexOf(obj, item, fromIndex) >= 0;
-  }
-
-  // Invoke a method (with arguments) on every item in a collection.
-  var invoke = restArguments(function(obj, path, args) {
-    var contextPath, func;
-    if (isFunction$1(path)) {
-      func = path;
-    } else {
-      path = toPath(path);
-      contextPath = path.slice(0, -1);
-      path = path[path.length - 1];
-    }
-    return map(obj, function(context) {
-      var method = func;
-      if (!method) {
-        if (contextPath && contextPath.length) {
-          context = deepGet(context, contextPath);
-        }
-        if (context == null) return void 0;
-        method = context[path];
-      }
-      return method == null ? method : method.apply(context, args);
-    });
-  });
-
-  // Convenience version of a common use case of `_.map`: fetching a property.
-  function pluck(obj, key) {
-    return map(obj, property(key));
-  }
-
-  // Convenience version of a common use case of `_.filter`: selecting only
-  // objects containing specific `key:value` pairs.
-  function where(obj, attrs) {
-    return filter(obj, matcher(attrs));
-  }
-
-  // Return the maximum element (or element-based computation).
-  function max(obj, iteratee, context) {
-    var result = -Infinity, lastComputed = -Infinity,
-        value, computed;
-    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
-      obj = isArrayLike(obj) ? obj : values(obj);
-      for (var i = 0, length = obj.length; i < length; i++) {
-        value = obj[i];
-        if (value != null && value > result) {
-          result = value;
-        }
-      }
-    } else {
-      iteratee = cb(iteratee, context);
-      each(obj, function(v, index, list) {
-        computed = iteratee(v, index, list);
-        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
-          result = v;
-          lastComputed = computed;
-        }
-      });
-    }
-    return result;
-  }
-
-  // Return the minimum element (or element-based computation).
-  function min(obj, iteratee, context) {
-    var result = Infinity, lastComputed = Infinity,
-        value, computed;
-    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
-      obj = isArrayLike(obj) ? obj : values(obj);
-      for (var i = 0, length = obj.length; i < length; i++) {
-        value = obj[i];
-        if (value != null && value < result) {
-          result = value;
-        }
-      }
-    } else {
-      iteratee = cb(iteratee, context);
-      each(obj, function(v, index, list) {
-        computed = iteratee(v, index, list);
-        if (computed < lastComputed || computed === Infinity && result === Infinity) {
-          result = v;
-          lastComputed = computed;
-        }
-      });
-    }
-    return result;
-  }
-
-  // Sample **n** random values from a collection using the modern version of the
-  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
-  // If **n** is not specified, returns a single random element.
-  // The internal `guard` argument allows it to work with `_.map`.
-  function sample(obj, n, guard) {
-    if (n == null || guard) {
-      if (!isArrayLike(obj)) obj = values(obj);
-      return obj[random(obj.length - 1)];
-    }
-    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
-    var length = getLength(sample);
-    n = Math.max(Math.min(n, length), 0);
-    var last = length - 1;
-    for (var index = 0; index < n; index++) {
-      var rand = random(index, last);
-      var temp = sample[index];
-      sample[index] = sample[rand];
-      sample[rand] = temp;
-    }
-    return sample.slice(0, n);
-  }
-
-  // Shuffle a collection.
-  function shuffle(obj) {
-    return sample(obj, Infinity);
-  }
-
-  // Sort the object's values by a criterion produced by an iteratee.
-  function sortBy(obj, iteratee, context) {
-    var index = 0;
-    iteratee = cb(iteratee, context);
-    return pluck(map(obj, function(value, key, list) {
-      return {
-        value: value,
-        index: index++,
-        criteria: iteratee(value, key, list)
-      };
-    }).sort(function(left, right) {
-      var a = left.criteria;
-      var b = right.criteria;
-      if (a !== b) {
-        if (a > b || a === void 0) return 1;
-        if (a < b || b === void 0) return -1;
-      }
-      return left.index - right.index;
-    }), 'value');
-  }
-
-  // An internal function used for aggregate "group by" operations.
-  function group(behavior, partition) {
-    return function(obj, iteratee, context) {
-      var result = partition ? [[], []] : {};
-      iteratee = cb(iteratee, context);
-      each(obj, function(value, index) {
-        var key = iteratee(value, index, obj);
-        behavior(result, value, key);
-      });
-      return result;
-    };
-  }
-
-  // Groups the object's values by a criterion. Pass either a string attribute
-  // to group by, or a function that returns the criterion.
-  var groupBy = group(function(result, value, key) {
-    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
-  });
-
-  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
-  // when you know that your index values will be unique.
-  var indexBy = group(function(result, value, key) {
-    result[key] = value;
-  });
-
-  // Counts instances of an object that group by a certain criterion. Pass
-  // either a string attribute to count by, or a function that returns the
-  // criterion.
-  var countBy = group(function(result, value, key) {
-    if (has$1(result, key)) result[key]++; else result[key] = 1;
-  });
-
-  // Split a collection into two arrays: one whose elements all pass the given
-  // truth test, and one whose elements all do not pass the truth test.
-  var partition = group(function(result, value, pass) {
-    result[pass ? 0 : 1].push(value);
-  }, true);
-
-  // Safely create a real, live array from anything iterable.
-  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
-  function toArray(obj) {
-    if (!obj) return [];
-    if (isArray(obj)) return slice.call(obj);
-    if (isString(obj)) {
-      // Keep surrogate pair characters together.
-      return obj.match(reStrSymbol);
-    }
-    if (isArrayLike(obj)) return map(obj, identity);
-    return values(obj);
-  }
-
-  // Return the number of elements in a collection.
-  function size(obj) {
-    if (obj == null) return 0;
-    return isArrayLike(obj) ? obj.length : keys(obj).length;
-  }
-
-  // Internal `_.pick` helper function to determine whether `key` is an enumerable
-  // property name of `obj`.
-  function keyInObj(value, key, obj) {
-    return key in obj;
-  }
-
-  // Return a copy of the object only containing the allowed properties.
-  var pick = restArguments(function(obj, keys) {
-    var result = {}, iteratee = keys[0];
-    if (obj == null) return result;
-    if (isFunction$1(iteratee)) {
-      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
-      keys = allKeys(obj);
-    } else {
-      iteratee = keyInObj;
-      keys = flatten$1(keys, false, false);
-      obj = Object(obj);
-    }
-    for (var i = 0, length = keys.length; i < length; i++) {
-      var key = keys[i];
-      var value = obj[key];
-      if (iteratee(value, key, obj)) result[key] = value;
-    }
-    return result;
-  });
-
-  // Return a copy of the object without the disallowed properties.
-  var omit = restArguments(function(obj, keys) {
-    var iteratee = keys[0], context;
-    if (isFunction$1(iteratee)) {
-      iteratee = negate(iteratee);
-      if (keys.length > 1) context = keys[1];
-    } else {
-      keys = map(flatten$1(keys, false, false), String);
-      iteratee = function(value, key) {
-        return !contains(keys, key);
-      };
-    }
-    return pick(obj, iteratee, context);
-  });
-
-  // Returns everything but the last entry of the array. Especially useful on
-  // the arguments object. Passing **n** will return all the values in
-  // the array, excluding the last N.
-  function initial(array, n, guard) {
-    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
-  }
-
-  // Get the first element of an array. Passing **n** will return the first N
-  // values in the array. The **guard** check allows it to work with `_.map`.
-  function first(array, n, guard) {
-    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
-    if (n == null || guard) return array[0];
-    return initial(array, array.length - n);
-  }
-
-  // Returns everything but the first entry of the `array`. Especially useful on
-  // the `arguments` object. Passing an **n** will return the rest N values in the
-  // `array`.
-  function rest(array, n, guard) {
-    return slice.call(array, n == null || guard ? 1 : n);
-  }
-
-  // Get the last element of an array. Passing **n** will return the last N
-  // values in the array.
-  function last(array, n, guard) {
-    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
-    if (n == null || guard) return array[array.length - 1];
-    return rest(array, Math.max(0, array.length - n));
-  }
-
-  // Trim out all falsy values from an array.
-  function compact(array) {
-    return filter(array, Boolean);
-  }
-
-  // Flatten out an array, either recursively (by default), or up to `depth`.
-  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
-  function flatten(array, depth) {
-    return flatten$1(array, depth, false);
-  }
-
-  // Take the difference between one array and a number of other arrays.
-  // Only the elements present in just the first array will remain.
-  var difference = restArguments(function(array, rest) {
-    rest = flatten$1(rest, true, true);
-    return filter(array, function(value){
-      return !contains(rest, value);
-    });
-  });
-
-  // Return a version of the array that does not contain the specified value(s).
-  var without = restArguments(function(array, otherArrays) {
-    return difference(array, otherArrays);
-  });
-
-  // Produce a duplicate-free version of the array. If the array has already
-  // been sorted, you have the option of using a faster algorithm.
-  // The faster algorithm will not work with an iteratee if the iteratee
-  // is not a one-to-one function, so providing an iteratee will disable
-  // the faster algorithm.
-  function uniq(array, isSorted, iteratee, context) {
-    if (!isBoolean(isSorted)) {
-      context = iteratee;
-      iteratee = isSorted;
-      isSorted = false;
-    }
-    if (iteratee != null) iteratee = cb(iteratee, context);
-    var result = [];
-    var seen = [];
-    for (var i = 0, length = getLength(array); i < length; i++) {
-      var value = array[i],
-          computed = iteratee ? iteratee(value, i, array) : value;
-      if (isSorted && !iteratee) {
-        if (!i || seen !== computed) result.push(value);
-        seen = computed;
-      } else if (iteratee) {
-        if (!contains(seen, computed)) {
-          seen.push(computed);
-          result.push(value);
-        }
-      } else if (!contains(result, value)) {
-        result.push(value);
-      }
-    }
-    return result;
-  }
-
-  // Produce an array that contains the union: each distinct element from all of
-  // the passed-in arrays.
-  var union = restArguments(function(arrays) {
-    return uniq(flatten$1(arrays, true, true));
-  });
-
-  // Produce an array that contains every item shared between all the
-  // passed-in arrays.
-  function intersection(array) {
-    var result = [];
-    var argsLength = arguments.length;
-    for (var i = 0, length = getLength(array); i < length; i++) {
-      var item = array[i];
-      if (contains(result, item)) continue;
-      var j;
-      for (j = 1; j < argsLength; j++) {
-        if (!contains(arguments[j], item)) break;
-      }
-      if (j === argsLength) result.push(item);
-    }
-    return result;
-  }
-
-  // Complement of zip. Unzip accepts an array of arrays and groups
-  // each array's elements on shared indices.
-  function unzip(array) {
-    var length = array && max(array, getLength).length || 0;
-    var result = Array(length);
-
-    for (var index = 0; index < length; index++) {
-      result[index] = pluck(array, index);
-    }
-    return result;
-  }
-
-  // Zip together multiple lists into a single array -- elements that share
-  // an index go together.
-  var zip = restArguments(unzip);
-
-  // Converts lists into objects. Pass either a single array of `[key, value]`
-  // pairs, or two parallel arrays of the same length -- one of keys, and one of
-  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
-  function object(list, values) {
-    var result = {};
-    for (var i = 0, length = getLength(list); i < length; i++) {
-      if (values) {
-        result[list[i]] = values[i];
-      } else {
-        result[list[i][0]] = list[i][1];
-      }
-    }
-    return result;
-  }
-
-  // Generate an integer Array containing an arithmetic progression. A port of
-  // the native Python `range()` function. See
-  // [the Python documentation](https://docs.python.org/library/functions.html#range).
-  function range(start, stop, step) {
-    if (stop == null) {
-      stop = start || 0;
-      start = 0;
-    }
-    if (!step) {
-      step = stop < start ? -1 : 1;
-    }
-
-    var length = Math.max(Math.ceil((stop - start) / step), 0);
-    var range = Array(length);
-
-    for (var idx = 0; idx < length; idx++, start += step) {
-      range[idx] = start;
-    }
-
-    return range;
-  }
-
-  // Chunk a single array into multiple arrays, each containing `count` or fewer
-  // items.
-  function chunk(array, count) {
-    if (count == null || count < 1) return [];
-    var result = [];
-    var i = 0, length = array.length;
-    while (i < length) {
-      result.push(slice.call(array, i, i += count));
-    }
-    return result;
-  }
-
-  // Helper function to continue chaining intermediate results.
-  function chainResult(instance, obj) {
-    return instance._chain ? _$1(obj).chain() : obj;
-  }
-
-  // Add your own custom functions to the Underscore object.
-  function mixin(obj) {
-    each(functions(obj), function(name) {
-      var func = _$1[name] = obj[name];
-      _$1.prototype[name] = function() {
-        var args = [this._wrapped];
-        push.apply(args, arguments);
-        return chainResult(this, func.apply(_$1, args));
-      };
-    });
-    return _$1;
-  }
-
-  // Add all mutator `Array` functions to the wrapper.
-  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
-    var method = ArrayProto[name];
-    _$1.prototype[name] = function() {
-      var obj = this._wrapped;
-      if (obj != null) {
-        method.apply(obj, arguments);
-        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
-          delete obj[0];
-        }
-      }
-      return chainResult(this, obj);
-    };
-  });
-
-  // Add all accessor `Array` functions to the wrapper.
-  each(['concat', 'join', 'slice'], function(name) {
-    var method = ArrayProto[name];
-    _$1.prototype[name] = function() {
-      var obj = this._wrapped;
-      if (obj != null) obj = method.apply(obj, arguments);
-      return chainResult(this, obj);
-    };
-  });
-
-  // Named Exports
-
-  var allExports = {
-    __proto__: null,
-    VERSION: VERSION,
-    restArguments: restArguments,
-    isObject: isObject,
-    isNull: isNull,
-    isUndefined: isUndefined,
-    isBoolean: isBoolean,
-    isElement: isElement,
-    isString: isString,
-    isNumber: isNumber,
-    isDate: isDate,
-    isRegExp: isRegExp,
-    isError: isError,
-    isSymbol: isSymbol,
-    isArrayBuffer: isArrayBuffer,
-    isDataView: isDataView$1,
-    isArray: isArray,
-    isFunction: isFunction$1,
-    isArguments: isArguments$1,
-    isFinite: isFinite$1,
-    isNaN: isNaN$1,
-    isTypedArray: isTypedArray$1,
-    isEmpty: isEmpty,
-    isMatch: isMatch,
-    isEqual: isEqual,
-    isMap: isMap,
-    isWeakMap: isWeakMap,
-    isSet: isSet,
-    isWeakSet: isWeakSet,
-    keys: keys,
-    allKeys: allKeys,
-    values: values,
-    pairs: pairs,
-    invert: invert,
-    functions: functions,
-    methods: functions,
-    extend: extend,
-    extendOwn: extendOwn,
-    assign: extendOwn,
-    defaults: defaults,
-    create: create,
-    clone: clone,
-    tap: tap,
-    get: get,
-    has: has,
-    mapObject: mapObject,
-    identity: identity,
-    constant: constant,
-    noop: noop,
-    toPath: toPath$1,
-    property: property,
-    propertyOf: propertyOf,
-    matcher: matcher,
-    matches: matcher,
-    times: times,
-    random: random,
-    now: now,
-    escape: _escape,
-    unescape: _unescape,
-    templateSettings: templateSettings,
-    template: template,
-    result: result,
-    uniqueId: uniqueId,
-    chain: chain,
-    iteratee: iteratee,
-    partial: partial,
-    bind: bind,
-    bindAll: bindAll,
-    memoize: memoize,
-    delay: delay,
-    defer: defer,
-    throttle: throttle,
-    debounce: debounce,
-    wrap: wrap,
-    negate: negate,
-    compose: compose,
-    after: after,
-    before: before,
-    once: once,
-    findKey: findKey,
-    findIndex: findIndex,
-    findLastIndex: findLastIndex,
-    sortedIndex: sortedIndex,
-    indexOf: indexOf,
-    lastIndexOf: lastIndexOf,
-    find: find,
-    detect: find,
-    findWhere: findWhere,
-    each: each,
-    forEach: each,
-    map: map,
-    collect: map,
-    reduce: reduce,
-    foldl: reduce,
-    inject: reduce,
-    reduceRight: reduceRight,
-    foldr: reduceRight,
-    filter: filter,
-    select: filter,
-    reject: reject,
-    every: every,
-    all: every,
-    some: some,
-    any: some,
-    contains: contains,
-    includes: contains,
-    include: contains,
-    invoke: invoke,
-    pluck: pluck,
-    where: where,
-    max: max,
-    min: min,
-    shuffle: shuffle,
-    sample: sample,
-    sortBy: sortBy,
-    groupBy: groupBy,
-    indexBy: indexBy,
-    countBy: countBy,
-    partition: partition,
-    toArray: toArray,
-    size: size,
-    pick: pick,
-    omit: omit,
-    first: first,
-    head: first,
-    take: first,
-    initial: initial,
-    last: last,
-    rest: rest,
-    tail: rest,
-    drop: rest,
-    compact: compact,
-    flatten: flatten,
-    without: without,
-    uniq: uniq,
-    unique: uniq,
-    union: union,
-    intersection: intersection,
-    difference: difference,
-    unzip: unzip,
-    transpose: unzip,
-    zip: zip,
-    object: object,
-    range: range,
-    chunk: chunk,
-    mixin: mixin,
-    'default': _$1
-  };
-
-  // Default Export
-
-  // Add all of the Underscore functions to the wrapper object.
-  var _ = mixin(allExports);
-  // Legacy Node.js API.
-  _._ = _;
-
-  return _;
-
-})));
-//# sourceMappingURL=underscore-umd.js.map
diff --git a/dev/_static/underscore.js b/dev/_static/underscore.js
deleted file mode 100644
index cf177d428..000000000
--- a/dev/_static/underscore.js
+++ /dev/null
@@ -1,6 +0,0 @@
-!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
-//     Underscore.js 1.13.1
-//     https://underscorejs.org
-//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
-//     Underscore may be freely distributed under the MIT license.
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diff --git a/dev/_static/vendor/fontawesome/5.13.0/LICENSE.txt b/dev/_static/vendor/fontawesome/5.13.0/LICENSE.txt
deleted file mode 100644
index f31bef92b..000000000
--- a/dev/_static/vendor/fontawesome/5.13.0/LICENSE.txt
+++ /dev/null
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-Font Awesome Free License
--------------------------
-
-Font Awesome Free is free, open source, and GPL friendly. You can use it for
-commercial projects, open source projects, or really almost whatever you want.
-Full Font Awesome Free license: https://fontawesome.com/license/free.
-
-# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)
-In the Font Awesome Free download, the CC BY 4.0 license applies to all icons
-packaged as SVG and JS file types.
-
-# Fonts: SIL OFL 1.1 License (https://scripts.sil.org/OFL)
-In the Font Awesome Free download, the SIL OFL license applies to all icons
-packaged as web and desktop font files.
-
-# Code: MIT License (https://opensource.org/licenses/MIT)
-In the Font Awesome Free download, the MIT license applies to all non-font and
-non-icon files.
-
-# Attribution
-Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
-Awesome Free files already contain embedded comments with sufficient
-attribution, so you shouldn't need to do anything additional when using these
-files normally.
-
-We've kept attribution comments terse, so we ask that you do not actively work
-to remove them from files, especially code. They're a great way for folks to
-learn about Font Awesome.
-
-# Brand Icons
-All brand icons are trademarks of their respective owners. The use of these
-trademarks does not indicate endorsement of the trademark holder by Font
-Awesome, nor vice versa. **Please do not use brand logos for any purpose except
-to represent the company, product, or service to which they refer.**
diff --git a/dev/_static/vendor/fontawesome/5.13.0/css/all.min.css b/dev/_static/vendor/fontawesome/5.13.0/css/all.min.css
deleted file mode 100644
index 3d28ab203..000000000
--- a/dev/_static/vendor/fontawesome/5.13.0/css/all.min.css
+++ /dev/null
@@ -1,5 +0,0 @@
-/*!
- * Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com
- * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
- */
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deleted file mode 100644
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diff --git a/dev/_static/vendor/fontawesome/6.5.1/LICENSE.txt b/dev/_static/vendor/fontawesome/6.5.1/LICENSE.txt
new file mode 100644
index 000000000..39e18e3d3
--- /dev/null
+++ b/dev/_static/vendor/fontawesome/6.5.1/LICENSE.txt
@@ -0,0 +1,165 @@
+Fonticons, Inc. (https://fontawesome.com)
+
+--------------------------------------------------------------------------------
+
+Font Awesome Free License
+
+Font Awesome Free is free, open source, and GPL friendly. You can use it for
+commercial projects, open source projects, or really almost whatever you want.
+Full Font Awesome Free license: https://fontawesome.com/license/free.
+
+--------------------------------------------------------------------------------
+
+# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)
+
+The Font Awesome Free download is licensed under a Creative Commons
+Attribution 4.0 International License and applies to all icons packaged
+as SVG and JS file types.
+
+--------------------------------------------------------------------------------
+
+# Fonts: SIL OFL 1.1 License
+
+In the Font Awesome Free download, the SIL OFL license applies to all icons
+packaged as web and desktop font files.
+
+Copyright (c) 2023 Fonticons, Inc. (https://fontawesome.com)
+with Reserved Font Name: "Font Awesome".
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+SIL OPEN FONT LICENSE
+Version 1.1 - 26 February 2007
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded,
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting — in part or in whole — any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
+
+--------------------------------------------------------------------------------
+
+# Code: MIT License (https://opensource.org/licenses/MIT)
+
+In the Font Awesome Free download, the MIT license applies to all non-font and
+non-icon files.
+
+Copyright 2023 Fonticons, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in the
+Software without restriction, including without limitation the rights to use, copy,
+modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
+and to permit persons to whom the Software is furnished to do so, subject to the
+following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
+PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+--------------------------------------------------------------------------------
+
+# Attribution
+
+Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
+Awesome Free files already contain embedded comments with sufficient
+attribution, so you shouldn't need to do anything additional when using these
+files normally.
+
+We've kept attribution comments terse, so we ask that you do not actively work
+to remove them from files, especially code. They're a great way for folks to
+learn about Font Awesome.
+
+--------------------------------------------------------------------------------
+
+# Brand Icons
+
+All brand icons are trademarks of their respective owners. The use of these
+trademarks does not indicate endorsement of the trademark holder by Font
+Awesome, nor vice versa. **Please do not use brand logos for any purpose except
+to represent the company, product, or service to which they refer.**
diff --git a/dev/_static/vendor/fontawesome/6.5.1/css/all.min.css b/dev/_static/vendor/fontawesome/6.5.1/css/all.min.css
new file mode 100644
index 000000000..5f2038f00
--- /dev/null
+++ b/dev/_static/vendor/fontawesome/6.5.1/css/all.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:Font Awesome\ 6 Free}.fa-brands,.fab{font-family:Font Awesome\ 6 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diff --git a/dev/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt b/dev/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
new file mode 100644
index 000000000..ef6dda407
--- /dev/null
+++ b/dev/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
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new file mode 100644
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diff --git a/dev/_static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.ttf b/dev/_static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..b175aa8ece8b1881ed7a23ec6ee6db6ad6b7cd94
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HcmV?d00001

diff --git a/dev/_static/webpack-macros.html b/dev/_static/webpack-macros.html
index b51c16ef5..243a8589f 100644
--- a/dev/_static/webpack-macros.html
+++ b/dev/_static/webpack-macros.html
@@ -4,26 +4,28 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link rel="stylesheet"
-    href="{{ pathto('_static/vendor/fontawesome/5.13.0/css/all.min.css', 1) }}">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="{{ pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2', 1) }}">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="{{ pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2', 1) }}">
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2', 1) }}" />
 {% endmacro %}
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=1999514e3f237ded88cf">
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=1999514e3f237ded88cf"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
\ No newline at end of file
diff --git a/dev/api/generated/verde.BlockKFold.html b/dev/api/generated/verde.BlockKFold.html
index e4322ef6d..db767426b 100644
--- a/dev/api/generated/verde.BlockKFold.html
+++ b/dev/api/generated/verde.BlockKFold.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.BlockKFold | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
-    
-  <link rel="stylesheet"
-    href="../../_static/vendor/fontawesome/5.13.0/css/all.min.css">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
-
-    <link rel="stylesheet" type="text/css" href="../../_static/pygments.css" />
-    <link rel="stylesheet" href="../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" type="text/css" />
+  
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
+
+    <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=80d5e7a1" />
+    <link rel="stylesheet" type="text/css" href="../../_static/styles/sphinx-book-theme.css?v=384b581d" />
     <link rel="stylesheet" type="text/css" href="../../_static/plot_directive.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/custom.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-binder.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css" />
-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../_static/custom.css?v=44687e0a" />
+  
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
-
-    <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
-    <script src="../../_static/jquery.js"></script>
-    <script src="../../_static/underscore.js"></script>
-    <script src="../../_static/doctools.js"></script>
-    <script src="../../_static/clipboard.min.js"></script>
-    <script src="../../_static/copybutton.js"></script>
-    <script src="../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
-    <script src="../../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.BlockKFold';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.line_coordinates" href="verde.line_coordinates.html" />
@@ -55,799 +65,445 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="../../index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
-      
-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
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   <section id="verde-blockkfold">
-<h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permalink to this headline">#</a></h1>
+<h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.BlockKFold">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockKFold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">balance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#BlockKFold"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockKFold" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockKFold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">balance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#BlockKFold"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockKFold" title="Link to this definition">#</a></dt>
 <dd><p>K-Folds over spatial blocks cross-validator.</p>
 <p>Yields indices to split data into training and test sets. Data are first
 grouped into rectangular blocks of size given by the <em>spacing</em> argument.
@@ -867,26 +523,26 @@ <h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permal
 behaviour is not to shuffle for compatibility with similar cross-validators
 in scikit-learn.</p>
 <p>This cross-validator is preferred over
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> for spatial data to avoid
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> for spatial data to avoid
 overestimating cross-validation scores. This can happen because of the
 inherent autocorrelation that is usually associated with this type of data
 (points that are close together are more likely to have similar values).
 See <a class="reference internal" href="../../references.html#roberts-etal2017" id="id1"><span>[Roberts_etal2017]</span></a> for an overview of this topic.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the spacing is equal in both
 directions. If None, then <em>shape</em> <strong>must be provided</strong>.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively. If None, then <em>spacing</em> <strong>must be provided</strong>.</p></li>
-<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – Number of folds. Must be at least 2.</p></li>
-<li><p><strong>shuffle</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – Whether to shuffle the data before splitting into batches.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em>, </em><em>RandomState instance</em><em> or </em><em>None</em><em>, </em><em>optional</em><em> (</em><em>default=None</em><em>)</em>) – If int, random_state is the seed used by the random number generator;
+<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Number of folds. Must be at least 2.</p></li>
+<li><p><strong>shuffle</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Whether to shuffle the data before splitting into batches.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>RandomState instance</em><em> or </em><em>None</em><em>, </em><em>optional</em><em> (</em><em>default=None</em><em>)</em>) – If int, random_state is the seed used by the random number generator;
 If RandomState instance, random_state is the random number generator;
 If None, the random number generator is the RandomState instance used
 by <cite>np.random</cite>.</p></li>
-<li><p><strong>balance</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – Whether or not to split blocks into fold with approximately equal
+<li><p><strong>balance</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Whether or not to split blocks into fold with approximately equal
 number of data points. If False, each fold will have the same number of
 blocks (which can have different number of data points in them).</p></li>
 </ul>
@@ -970,33 +626,46 @@ <h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permal
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockKFold.get_n_splits" title="verde.BlockKFold.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockKFold.get_n_splits</span></code></a>([X, y, groups])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockKFold.get_metadata_routing" title="verde.BlockKFold.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockKFold.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockKFold.get_n_splits" title="verde.BlockKFold.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockKFold.get_n_splits</span></code></a>([X, y, groups])</p></td>
 <td><p>Returns the number of splitting iterations in the cross-validator</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockKFold.split" title="verde.BlockKFold.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockKFold.split</span></code></a>(X[, y, groups])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockKFold.split" title="verde.BlockKFold.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockKFold.split</span></code></a>(X[, y, groups])</p></td>
 <td><p>Generate indices to split data into training and test set.</p></td>
 </tr>
 </tbody>
 </table>
 <hr class="docutils" />
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.BlockKFold.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BlockKFold.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockKFold.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockKFold.get_n_splits">
-<span class="sig-prename descclassname"><span class="pre">BlockKFold.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockKFold.get_n_splits" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockKFold.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockKFold.get_n_splits" title="Link to this definition">#</a></dt>
 <dd><p>Returns the number of splitting iterations in the cross-validator</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>n_splits</strong> (<em>int</em>) – Returns the number of splitting iterations in the cross-validator.</p>
 </dd>
 </dl>
@@ -1004,10 +673,10 @@ <h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockKFold.split">
-<span class="sig-prename descclassname"><span class="pre">BlockKFold.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockKFold.split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockKFold.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockKFold.split" title="Link to this definition">#</a></dt>
 <dd><p>Generate indices to split data into training and test set.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>X</strong> (<em>array-like</em><em>, </em><em>shape</em><em> (</em><em>n_samples</em><em>, </em><em>2</em><em>)</em>) – Columns should be the easting and northing coordinates of data
 points, respectively.</p></li>
@@ -1017,7 +686,7 @@ <h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permal
 train/test set. Always ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Yields</dt>
+<dt class="field-even">Yields<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>train</strong> (<em>ndarray</em>) – The training set indices for that split.</p></li>
 <li><p><strong>test</strong> (<em>ndarray</em>) – The testing set indices for that split.</p></li>
@@ -1027,60 +696,116 @@ <h1>verde.BlockKFold<a class="headerlink" href="#verde-blockkfold" title="Permal
 </dd></dl>
 
 <section id="examples-using-verde-blockkfold">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockKFold</span></code><a class="headerlink" href="#examples-using-verde-blockkfold" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><figure class="align-default" id="id2">
-<img alt="K-Fold cross-validation with blocks" src="../../_images/sphx_glr_blockkfold_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockKFold</span></code><a class="headerlink" href="#examples-using-verde-blockkfold" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><img alt="" src="../../_images/sphx_glr_blockkfold_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></p>
+  <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockKFold"><code class="docutils literal notranslate"><span class="pre">BlockKFold</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockKFold.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BlockKFold.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockKFold.get_n_splits"><code class="docutils literal notranslate"><span class="pre">BlockKFold.get_n_splits</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockKFold.split"><code class="docutils literal notranslate"><span class="pre">BlockKFold.split</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-blockkfold">Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockKFold</span></code></a></li>
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diff --git a/dev/api/generated/verde.BlockMean.html b/dev/api/generated/verde.BlockMean.html
index 7525a7857..e151d66ba 100644
--- a/dev/api/generated/verde.BlockMean.html
+++ b/dev/api/generated/verde.BlockMean.html
@@ -2,51 +2,61 @@
 
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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   <section id="verde-blockmean">
-<h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalink to this headline">#</a></h1>
+<h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.BlockMean">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockMean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uncertainty</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockMean"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockMean" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockMean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uncertainty</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockMean"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockMean" title="Link to this definition">#</a></dt>
 <dd><p>Apply a (weighted) mean to the data in blocks/windows.</p>
 <p>Returns the mean data value for each block along with the associated
 coordinates and weights. Coordinates can be determined through the mean of
@@ -890,11 +547,11 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 with <a class="reference internal" href="verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a>. Only acts during data fitting and is ignored
 during prediction.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the size is equal in both
 directions.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
@@ -902,13 +559,13 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 <li><p><strong>adjust</strong> (<em>{'spacing'</em><em>, </em><em>'region'}</em>) – Whether to adjust the spacing or the region if required. Ignored if
 <em>shape</em> is given instead of <em>spacing</em>. Defaults to adjusting the
 spacing.</p></li>
-<li><p><strong>center_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, then the returned coordinates correspond to the center of each
+<li><p><strong>center_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, then the returned coordinates correspond to the center of each
 block. Otherwise, the coordinates are calculated by applying the same
 reduction operation to the input coordinates.</p></li>
-<li><p><strong>drop_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, only the reduced <code class="docutils literal notranslate"><span class="pre">easting</span></code> and <code class="docutils literal notranslate"><span class="pre">northing</span></code> coordinates are
+<li><p><strong>drop_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, only the reduced <code class="docutils literal notranslate"><span class="pre">easting</span></code> and <code class="docutils literal notranslate"><span class="pre">northing</span></code> coordinates are
 returned, dropping any other ones. If False, all coordinates are
 reduced and returned. Default True.</p></li>
-<li><p><strong>uncertainty</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, the blocked weights will be calculated by uncertainty
+<li><p><strong>uncertainty</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, the blocked weights will be calculated by uncertainty
 propagation of the data uncertainties. If this is case, then the input
 weights <strong>must be</strong> <code class="docutils literal notranslate"><span class="pre">1/uncertainty**2</span></code>. <strong>Do not normalize the
 input weights</strong>. If False, then the blocked weights will be calculated
@@ -932,18 +589,17 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockMean.filter" title="verde.BlockMean.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Apply the blocked mean to the given data.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockMean.get_params" title="verde.BlockMean.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.get_params</span></code></a>([deep])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockMean.get_metadata_routing" title="verde.BlockMean.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockMean.get_params" title="verde.BlockMean.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockMean.set_params" title="verde.BlockMean.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.set_params</span></code></a>(**params)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockMean.set_params" title="verde.BlockMean.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockMean.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
 </tbody>
@@ -951,29 +607,29 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockMean.filter">
-<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockMean.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockMean.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockMean.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockMean.filter" title="Link to this definition">#</a></dt>
 <dd><p>Apply the blocked mean to the given data.</p>
 <p>Returns the reduced data value for each block along with the associated
 coordinates and weights. See the class docstring for details.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used to create the blocks. If <code class="docutils literal notranslate"><span class="pre">drop_coords</span></code>
 is <code class="docutils literal notranslate"><span class="pre">False</span></code>, all other coordinates will be reduced along with the
 data.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values at each point. If you want to reduce more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values at each point. If you want to reduce more than one
 data component, pass in multiple arrays as elements of a tuple. All
 arrays must have the same shape.</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None). If calculating the
 output weights through uncertainty propagation, then <em>weights</em>
 <strong>must be</strong> <code class="docutils literal notranslate"><span class="pre">1/uncertainty**2</span></code>.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><ul class="simple">
 <li><p><strong>blocked_coordinates</strong> (<em>tuple of arrays</em>) – Tuple containing arrays with the coordinates of each block that
 contains data. If <code class="docutils literal notranslate"><span class="pre">drop_coords</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, the tuple will only
@@ -988,16 +644,30 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.BlockMean.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockMean.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockMean.get_params">
-<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockMean.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockMean.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1005,107 +675,149 @@ <h1>verde.BlockMean<a class="headerlink" href="#verde-blockmean" title="Permalin
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockMean.set_params">
-<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockMean.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockMean.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockMean.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
 <section id="examples-using-verde-blockmean">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockMean</span></code><a class="headerlink" href="#examples-using-verde-blockmean" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id1">
-<img alt="Using weights in blocked reduction" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><figure class="align-default" id="id2">
-<img alt="Using weights in blocked means" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id4">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id5">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id6">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockMean</span></code><a class="headerlink" href="#examples-using-verde-blockmean" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockMean"><code class="docutils literal notranslate"><span class="pre">BlockMean</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockMean.filter"><code class="docutils literal notranslate"><span class="pre">BlockMean.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockMean.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BlockMean.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockMean.get_params"><code class="docutils literal notranslate"><span class="pre">BlockMean.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockMean.set_params"><code class="docutils literal notranslate"><span class="pre">BlockMean.set_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-blockmean">Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockMean</span></code></a></li>
+</ul>
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   <section id="verde-blockreduce">
-<h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Permalink to this headline">#</a></h1>
+<h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.BlockReduce">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockReduce</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockReduce"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockReduce" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockReduce</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockReduce"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockReduce" title="Link to this definition">#</a></dt>
 <dd><p>Apply a reduction/aggregation operation to the data in blocks/windows.</p>
 <p>Returns the reduced data value for each block along with the associated
 coordinates, which can be determined through the same reduction applied to
@@ -867,13 +524,13 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 with <a class="reference internal" href="verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a>. Only acts during data fitting and is ignored
 during prediction.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>reduction</strong> (<em>function</em>) – A reduction function that takes an array and returns a single value
 (e.g., <code class="docutils literal notranslate"><span class="pre">np.mean</span></code>, <code class="docutils literal notranslate"><span class="pre">np.median</span></code>, etc).</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the size is equal in both
 directions.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
@@ -881,10 +538,10 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 <li><p><strong>adjust</strong> (<em>{'spacing'</em><em>, </em><em>'region'}</em>) – Whether to adjust the spacing or the region if required. Ignored if
 <em>shape</em> is given instead of <em>spacing</em>. Defaults to adjusting the
 spacing.</p></li>
-<li><p><strong>center_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, then the returned coordinates correspond to the center of each
+<li><p><strong>center_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, then the returned coordinates correspond to the center of each
 block. Otherwise, the coordinates are calculated by applying the same
 reduction operation to the input coordinates.</p></li>
-<li><p><strong>drop_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, only the reduced <code class="docutils literal notranslate"><span class="pre">easting</span></code> and <code class="docutils literal notranslate"><span class="pre">northing</span></code> coordinates are
+<li><p><strong>drop_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, only the reduced <code class="docutils literal notranslate"><span class="pre">easting</span></code> and <code class="docutils literal notranslate"><span class="pre">northing</span></code> coordinates are
 returned, dropping any other ones. If False, all coordinates are
 reduced and returned. Default True.</p></li>
 </ul>
@@ -905,18 +562,17 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockReduce.filter" title="verde.BlockReduce.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Apply the blocked aggregation to the given data.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockReduce.get_params" title="verde.BlockReduce.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.get_params</span></code></a>([deep])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockReduce.get_metadata_routing" title="verde.BlockReduce.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockReduce.get_params" title="verde.BlockReduce.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockReduce.set_params" title="verde.BlockReduce.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.set_params</span></code></a>(**params)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockReduce.set_params" title="verde.BlockReduce.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
 </tbody>
@@ -924,7 +580,7 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockReduce.filter">
-<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockReduce.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockReduce.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/blockreduce.html#BlockReduce.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockReduce.filter" title="Link to this definition">#</a></dt>
 <dd><p>Apply the blocked aggregation to the given data.</p>
 <p>Returns the reduced data value for each block along with the associated
 coordinates, which can be determined through the same reduction applied
@@ -935,22 +591,22 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 For that, look to the specialized classes like
 <a class="reference internal" href="verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockMean</span></code></a>.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used to create the blocks. If <code class="docutils literal notranslate"><span class="pre">drop_coords</span></code>
 is <code class="docutils literal notranslate"><span class="pre">False</span></code>, all other coordinates will be reduced along with the
 data.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values at each point. If you want to reduce more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values at each point. If you want to reduce more than one
 data component, pass in multiple arrays as elements of a tuple. All
 arrays must have the same shape.</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><ul class="simple">
 <li><p><strong>blocked_coordinates</strong> (<em>tuple of arrays</em>) – Tuple containing arrays with the coordinates of each block that
 contains data. If <code class="docutils literal notranslate"><span class="pre">drop_coords</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, the tuple will only
@@ -964,16 +620,30 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.BlockReduce.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockReduce.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockReduce.get_params">
-<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockReduce.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockReduce.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -981,155 +651,173 @@ <h1>verde.BlockReduce<a class="headerlink" href="#verde-blockreduce" title="Perm
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockReduce.set_params">
-<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockReduce.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockReduce.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockReduce.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
 <section id="examples-using-verde-blockreduce">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code><a class="headerlink" href="#examples-using-verde-blockreduce" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><figure class="align-default" id="id1">
-<img alt="Blocked reduction operations" src="../../_images/sphx_glr_blockreduce_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id2">
-<img alt="Using weights in blocked reduction" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><figure class="align-default" id="id3">
-<img alt="Using weights in blocked means" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id4">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id5">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id6">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id7">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id8">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id9">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id10">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><figure class="align-default" id="id11">
-<img alt="Data Decimation" src="../../_images/sphx_glr_decimation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id12">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id12" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id13">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id13" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id14">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id14" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code><a class="headerlink" href="#examples-using-verde-blockreduce" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><img alt="" src="../../_images/sphx_glr_blockreduce_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Blocked reduction operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><img alt="" src="../../_images/sphx_glr_decimation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Data Decimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockReduce"><code class="docutils literal notranslate"><span class="pre">BlockReduce</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockReduce.filter"><code class="docutils literal notranslate"><span class="pre">BlockReduce.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockReduce.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BlockReduce.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockReduce.get_params"><code class="docutils literal notranslate"><span class="pre">BlockReduce.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockReduce.set_params"><code class="docutils literal notranslate"><span class="pre">BlockReduce.set_params</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-blockreduce">Examples using <code class="docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+</li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
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-                <h1>verde.BlockShuffleSplit</h1>
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+    <h1>verde.BlockShuffleSplit</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.get_n_splits"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_n_splits</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.split"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.split</span></code></a></li>
+</ul>
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+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-blockshufflesplit">
-<h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit" title="Permalink to this headline">#</a></h1>
+<h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.BlockShuffleSplit">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockShuffleSplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">balancing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#BlockShuffleSplit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockShuffleSplit" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">BlockShuffleSplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">balancing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#BlockShuffleSplit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.BlockShuffleSplit" title="Link to this definition">#</a></dt>
 <dd><p>Random permutation of spatial blocks cross-validator.</p>
 <p>Yields indices to split data into training and test sets. Data are first
 grouped into rectangular blocks of size given by the <em>spacing</em> argument.
@@ -817,40 +519,40 @@ <h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit"
 desired amount <a class="reference internal" href="../../references.html#valavi-etal2019" id="id1"><span>[Valavi_etal2019]</span></a>. The number of balancing splits per
 iteration is controlled by the <em>balancing</em> argument.</p>
 <p>This cross-validator is preferred over
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a> for spatial data to avoid
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a> for spatial data to avoid
 overestimating cross-validation scores. This can happen because of the
 inherent autocorrelation that is usually associated with this type of data
 (points that are close together are more likely to have similar values).
 See <a class="reference internal" href="../../references.html#roberts-etal2017" id="id2"><span>[Roberts_etal2017]</span></a> for an overview of this topic.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
-<p>Like <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>, this
+<p>Like <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>, this
 cross-validator cannot guarantee that all folds will be different,
 although this is still very likely for sizeable datasets.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the spacing is equal in both
 directions. If None, then <em>shape</em> <strong>must be provided</strong>.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively. If None, then <em>spacing</em> <strong>must be provided</strong>.</p></li>
-<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em>, </em><em>default 10</em>) – Number of re-shuffling &amp; splitting iterations.</p></li>
-<li><p><strong>test_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em>, </em><em>None</em><em>, </em><em>default=None</em>) – If float, should be between 0.0 and 1.0 and represent the proportion
+<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>default 10</em>) – Number of re-shuffling &amp; splitting iterations.</p></li>
+<li><p><strong>test_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>None</em><em>, </em><em>default=None</em>) – If float, should be between 0.0 and 1.0 and represent the proportion
 of the dataset to include in the test split. If int, represents the
 absolute number of test samples. If None, the value is set to the
 complement of the train size. If <code class="docutils literal notranslate"><span class="pre">train_size</span></code> is also None, it will
 be set to 0.1.</p></li>
-<li><p><strong>train_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em>, or </em><em>None</em><em>, </em><em>default=None</em>) – If float, should be between 0.0 and 1.0 and represent the
+<li><p><strong>train_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, or </em><em>None</em><em>, </em><em>default=None</em>) – If float, should be between 0.0 and 1.0 and represent the
 proportion of the dataset to include in the train split. If
 int, represents the absolute number of train samples. If None,
 the value is automatically set to the complement of the test size.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em>, </em><em>RandomState instance</em><em> or </em><em>None</em><em>, </em><em>optional</em><em> (</em><em>default=None</em><em>)</em>) – If int, random_state is the seed used by the random number generator;
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>RandomState instance</em><em> or </em><em>None</em><em>, </em><em>optional</em><em> (</em><em>default=None</em><em>)</em>) – If int, random_state is the seed used by the random number generator;
 If RandomState instance, random_state is the random number generator;
 If None, the random number generator is the RandomState instance used
 by <cite>np.random</cite>.</p></li>
-<li><p><strong>balancing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of splits generated per iteration to try to balance the
+<li><p><strong>balancing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of splits generated per iteration to try to balance the
 amount of data in each set so that <em>test_size</em> and <em>train_size</em> are
 respected. If 1, then no extra splits are generated (essentially
 disabling the balancing). Must be &gt;= 1.</p></li>
@@ -911,33 +613,46 @@ <h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit"
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockShuffleSplit.get_n_splits" title="verde.BlockShuffleSplit.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_n_splits</span></code></a>([X, y, groups])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockShuffleSplit.get_metadata_routing" title="verde.BlockShuffleSplit.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockShuffleSplit.get_n_splits" title="verde.BlockShuffleSplit.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_n_splits</span></code></a>([X, y, groups])</p></td>
 <td><p>Returns the number of splitting iterations in the cross-validator</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.BlockShuffleSplit.split" title="verde.BlockShuffleSplit.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockShuffleSplit.split</span></code></a>(X[, y, groups])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.BlockShuffleSplit.split" title="verde.BlockShuffleSplit.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockShuffleSplit.split</span></code></a>(X[, y, groups])</p></td>
 <td><p>Generate indices to split data into training and test set.</p></td>
 </tr>
 </tbody>
 </table>
 <hr class="docutils" />
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.BlockShuffleSplit.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BlockShuffleSplit.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockShuffleSplit.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockShuffleSplit.get_n_splits">
-<span class="sig-prename descclassname"><span class="pre">BlockShuffleSplit.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockShuffleSplit.get_n_splits" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockShuffleSplit.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockShuffleSplit.get_n_splits" title="Link to this definition">#</a></dt>
 <dd><p>Returns the number of splitting iterations in the cross-validator</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>n_splits</strong> (<em>int</em>) – Returns the number of splitting iterations in the cross-validator.</p>
 </dd>
 </dl>
@@ -945,10 +660,10 @@ <h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit"
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.BlockShuffleSplit.split">
-<span class="sig-prename descclassname"><span class="pre">BlockShuffleSplit.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockShuffleSplit.split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BlockShuffleSplit.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.BlockShuffleSplit.split" title="Link to this definition">#</a></dt>
 <dd><p>Generate indices to split data into training and test set.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>X</strong> (<em>array-like</em><em>, </em><em>shape</em><em> (</em><em>n_samples</em><em>, </em><em>2</em><em>)</em>) – Columns should be the easting and northing coordinates of data
 points, respectively.</p></li>
@@ -958,7 +673,7 @@ <h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit"
 train/test set. Always ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Yields</dt>
+<dt class="field-even">Yields<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>train</strong> (<em>ndarray</em>) – The training set indices for that split.</p></li>
 <li><p><strong>test</strong> (<em>ndarray</em>) – The testing set indices for that split.</p></li>
@@ -970,49 +685,107 @@ <h1>verde.BlockShuffleSplit<a class="headerlink" href="#verde-blockshufflesplit"
 <div style='clear:both'></div></section>
 
 
-              </div>
+                </article>
               
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.get_n_splits"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.get_n_splits</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.BlockShuffleSplit.split"><code class="docutils literal notranslate"><span class="pre">BlockShuffleSplit.split</span></code></a></li>
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diff --git a/dev/api/generated/verde.Chain.html b/dev/api/generated/verde.Chain.html
index 87d0c7f07..c1f499745 100644
--- a/dev/api/generated/verde.Chain.html
+++ b/dev/api/generated/verde.Chain.html
@@ -2,51 +2,61 @@
 
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+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.Chain';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.Vector" href="verde.Vector.html" />
@@ -55,799 +65,455 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
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+  
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
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-   Examples using
-   <code class="docutils literal notranslate">
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-     verde.Chain
-    </span>
-   </code>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>verde.Chain</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain"><code class="docutils literal notranslate"><span class="pre">Chain</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.filter"><code class="docutils literal notranslate"><span class="pre">Chain.filter</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.get_params"><code class="docutils literal notranslate"><span class="pre">Chain.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.grid"><code class="docutils literal notranslate"><span class="pre">Chain.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.predict"><code class="docutils literal notranslate"><span class="pre">Chain.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.profile"><code class="docutils literal notranslate"><span class="pre">Chain.profile</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.score"><code class="docutils literal notranslate"><span class="pre">Chain.score</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.set_params"><code class="docutils literal notranslate"><span class="pre">Chain.set_params</span></code></a></li>
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   <section id="verde-chain">
-<h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to this headline">#</a></h1>
+<h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Chain">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Chain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Chain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain" title="Link to this definition">#</a></dt>
 <dd><p>Chain filtering operations to fit on each subsequent output.</p>
 <p>The <a class="reference internal" href="verde.base.BaseGridder.html#verde.base.BaseGridder.filter" title="verde.base.BaseGridder.filter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">filter</span></code></a> method of each element of the
 set is called with the outputs of the previous one. For gridders and trend
@@ -859,17 +525,17 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 <p>This provides a convenient way to chaining operations like trend estimation
 to a given gridder.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>steps</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – A list of <code class="docutils literal notranslate"><span class="pre">('name',</span> <span class="pre">step)</span></code> pairs where <code class="docutils literal notranslate"><span class="pre">step</span></code> is any verde
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>steps</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – A list of <code class="docutils literal notranslate"><span class="pre">('name',</span> <span class="pre">step)</span></code> pairs where <code class="docutils literal notranslate"><span class="pre">step</span></code> is any verde
 class that implements a <code class="docutils literal notranslate"><span class="pre">filter(coordinates,</span> <span class="pre">data,</span> <span class="pre">weights)</span></code> method
 (including <code class="docutils literal notranslate"><span class="pre">Chain</span></code> itself).</p>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the chain.
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the chain.
 Used as the default region for the <a class="reference internal" href="#verde.Chain.grid" title="verde.Chain.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and
 <a class="reference internal" href="#verde.Chain.scatter" title="verde.Chain.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
-<li><p><strong>named_steps</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – A dictionary version of <em>steps</em> where the <code class="docutils literal notranslate"><span class="pre">'name'</span></code>  strings are keys
+<li><p><strong>named_steps</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – A dictionary version of <em>steps</em> where the <code class="docutils literal notranslate"><span class="pre">'name'</span></code>  strings are keys
 and the estimator/gridder/processor objects are the values.</p></li>
 </ul>
 </dd>
@@ -885,10 +551,6 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.filter" title="verde.Chain.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -896,33 +558,45 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.fit" title="verde.Chain.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the chained estimators to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.get_params" title="verde.Chain.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.get_metadata_routing" title="verde.Chain.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.get_params" title="verde.Chain.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.grid" title="verde.Chain.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.grid" title="verde.Chain.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.predict" title="verde.Chain.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.predict" title="verde.Chain.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluates the data predicted by the chain on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.profile" title="verde.Chain.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.profile" title="verde.Chain.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.scatter" title="verde.Chain.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.scatter" title="verde.Chain.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.score" title="verde.Chain.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.score" title="verde.Chain.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.set_fit_request" title="verde.Chain.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.set_params" title="verde.Chain.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Chain.set_predict_request" title="verde.Chain.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Chain.set_score_request" title="verde.Chain.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.filter">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -931,21 +605,21 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -954,7 +628,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.fit">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the chained estimators to the given data.</p>
 <p>Each estimator in the chain is fitted to the residuals of the previous
 estimator. The coordinates are preserved. Only the data values are
@@ -963,34 +637,48 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 <a class="reference internal" href="#verde.Chain.grid" title="verde.Chain.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Chain.scatter" title="verde.Chain.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p>
 <p>All input arrays must have the same shape.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – the data values of each data point. if the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – the data values of each data point. if the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – if not none, then the weights assigned to each data point. if more
+<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – if not none, then the weights assigned to each data point. if more
 than one data component is provided, you must provide a weights
 array for each data component (if not none).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Chain.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.get_params">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -998,13 +686,13 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.grid">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1014,10 +702,10 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1027,13 +715,13 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1045,7 +733,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1053,7 +741,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1069,17 +757,17 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.predict">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/chain.html#Chain.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Chain.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluates the data predicted by the chain on the given set of points.</p>
 <p>Predictions from each step in the chain are added together. Any step
 that doesn’t implement a <code class="docutils literal notranslate"><span class="pre">predict</span></code> method is ignored.</p>
 <p>Requires a fitted gridder (see <a class="reference internal" href="#verde.Chain.fit" title="verde.Chain.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values predicted on the given points.</p>
 </dd>
 </dl>
@@ -1087,7 +775,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.profile">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1095,7 +783,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1122,20 +810,20 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1152,7 +840,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1160,7 +848,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.scatter">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1169,7 +857,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1177,21 +865,21 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1205,7 +893,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1213,7 +901,7 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.score">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1229,141 +917,305 @@ <h1>verde.Chain<a class="headerlink" href="#verde-chain" title="Permalink to thi
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Chain.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Chain" title="verde.chain.Chain"><span class="pre">Chain</span></a></span></span><a class="headerlink" href="#verde.Chain.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Chain.set_params">
-<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Chain.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Chain.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Chain" title="verde.chain.Chain"><span class="pre">Chain</span></a></span></span><a class="headerlink" href="#verde.Chain.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Chain.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Chain.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Chain" title="verde.chain.Chain"><span class="pre">Chain</span></a></span></span><a class="headerlink" href="#verde.Chain.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-chain">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Chain</span></code><a class="headerlink" href="#examples-using-verde-chain" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id1">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id2">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id3">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id4">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id5">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id6">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id7">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id8">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Chain</span></code><a class="headerlink" href="#examples-using-verde-chain" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain"><code class="docutils literal notranslate"><span class="pre">Chain</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.filter"><code class="docutils literal notranslate"><span class="pre">Chain.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.fit"><code class="docutils literal notranslate"><span class="pre">Chain.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Chain.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.get_params"><code class="docutils literal notranslate"><span class="pre">Chain.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.grid"><code class="docutils literal notranslate"><span class="pre">Chain.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.predict"><code class="docutils literal notranslate"><span class="pre">Chain.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.profile"><code class="docutils literal notranslate"><span class="pre">Chain.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.scatter"><code class="docutils literal notranslate"><span class="pre">Chain.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.score"><code class="docutils literal notranslate"><span class="pre">Chain.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Chain.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.set_params"><code class="docutils literal notranslate"><span class="pre">Chain.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Chain.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Chain.set_score_request"><code class="docutils literal notranslate"><span class="pre">Chain.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-chain">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Chain</span></code></a></li>
+</ul>
+  </nav></div>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-<p aria-level="2" class="caption" role="heading">
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-  User Guide
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.grid"><code class="docutils literal notranslate"><span class="pre">Cubic.grid</span></code></a></li>
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   <section id="verde-cubic">
-<h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to this headline">#</a></h1>
+<h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Cubic">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Cubic</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rescale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#Cubic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Cubic" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Cubic</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rescale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#Cubic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Cubic" title="Link to this definition">#</a></dt>
 <dd><p>Piecewise cubic interpolation.</p>
 <p>Provides a Verde interface to
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a>.</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a>.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>rescale</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, rescale the data coordinates to [0, 1] range before
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>rescale</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, rescale the data coordinates to [0, 1] range before
 interpolation. Useful when coordinates vary greatly in scale. Default
 is <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>interpolator</strong> (<em>scipy interpolator class</em>) – An instance of the corresponding scipy interpolator class.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.Cubic.grid" title="verde.Cubic.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> method.</p></li>
 </ul>
@@ -870,10 +536,6 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.filter" title="verde.Cubic.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -881,33 +543,45 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.fit" title="verde.Cubic.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the interpolator to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.get_params" title="verde.Cubic.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.get_metadata_routing" title="verde.Cubic.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.get_params" title="verde.Cubic.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.grid" title="verde.Cubic.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.grid" title="verde.Cubic.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.predict" title="verde.Cubic.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.predict" title="verde.Cubic.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.predict</span></code></a>(coordinates)</p></td>
 <td><p>Interpolate data on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.profile" title="verde.Cubic.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.profile" title="verde.Cubic.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.scatter" title="verde.Cubic.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.scatter" title="verde.Cubic.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.score" title="verde.Cubic.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.score" title="verde.Cubic.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.set_fit_request" title="verde.Cubic.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.set_params" title="verde.Cubic.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Cubic.set_predict_request" title="verde.Cubic.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Cubic.set_score_request" title="verde.Cubic.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cubic.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.filter">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -916,21 +590,21 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -939,14 +613,14 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.fit">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the interpolator to the given data.</p>
 <p>The data region is captured and used as default for the
 <code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code> method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -955,22 +629,36 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 ignored. Only present for compatibility with other gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this gridder instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Cubic.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.get_params">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -978,13 +666,13 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.grid">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -994,10 +682,10 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1007,13 +695,13 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1025,7 +713,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1033,7 +721,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1049,17 +737,17 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.predict">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.predict" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data on the given set of points.</p>
 <p>Requires a fitted gridder (see <code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values interpolated on the given points.</p>
 </dd>
 </dl>
@@ -1067,7 +755,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.profile">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1075,7 +763,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1102,20 +790,20 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1132,7 +820,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1140,7 +828,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.scatter">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1149,7 +837,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1157,21 +845,21 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1185,7 +873,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1193,7 +881,7 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.score">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1209,105 +897,287 @@ <h1>verde.Cubic<a class="headerlink" href="#verde-cubic" title="Permalink to thi
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Cubic.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Cubic" title="verde.scipygridder.Cubic"><span class="pre">Cubic</span></a></span></span><a class="headerlink" href="#verde.Cubic.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Cubic.set_params">
-<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Cubic.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Cubic.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Cubic" title="verde.scipygridder.Cubic"><span class="pre">Cubic</span></a></span></span><a class="headerlink" href="#verde.Cubic.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Cubic.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Cubic.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Cubic" title="verde.scipygridder.Cubic"><span class="pre">Cubic</span></a></span></span><a class="headerlink" href="#verde.Cubic.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-cubic">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Cubic</span></code><a class="headerlink" href="#examples-using-verde-cubic" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id1">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id2">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Cubic</span></code><a class="headerlink" href="#examples-using-verde-cubic" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+                </article>
               
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic"><code class="docutils literal notranslate"><span class="pre">Cubic</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.filter"><code class="docutils literal notranslate"><span class="pre">Cubic.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.fit"><code class="docutils literal notranslate"><span class="pre">Cubic.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Cubic.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.get_params"><code class="docutils literal notranslate"><span class="pre">Cubic.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.grid"><code class="docutils literal notranslate"><span class="pre">Cubic.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.predict"><code class="docutils literal notranslate"><span class="pre">Cubic.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.profile"><code class="docutils literal notranslate"><span class="pre">Cubic.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.scatter"><code class="docutils literal notranslate"><span class="pre">Cubic.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.score"><code class="docutils literal notranslate"><span class="pre">Cubic.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Cubic.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.set_params"><code class="docutils literal notranslate"><span class="pre">Cubic.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Cubic.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Cubic.set_score_request"><code class="docutils literal notranslate"><span class="pre">Cubic.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-cubic">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Cubic</span></code></a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.grid"><code class="docutils literal notranslate"><span class="pre">KNeighbors.grid</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.profile"><code class="docutils literal notranslate"><span class="pre">KNeighbors.profile</span></code></a></li>
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   <section id="verde-kneighbors">
-<h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permalink to this headline">#</a></h1>
+<h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.KNeighbors">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">KNeighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k=1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction=&lt;function</span> <span class="pre">mean&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">KNeighbors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k=1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction=&lt;function</span> <span class="pre">mean&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors" title="Link to this definition">#</a></dt>
 <dd><p>Nearest neighbor interpolation.</p>
 <p>This gridder assumes Cartesian coordinates.</p>
 <p>Interpolation based on the values of the <em>k</em> nearest neighbors of each
@@ -859,26 +525,26 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>If installed, package <code class="docutils literal notranslate"><span class="pre">pykdtree</span></code> will be used for the nearest
-neighbors look-up instead of <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better
+neighbors look-up instead of <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better
 performance.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>k</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of neighbors to use for each interpolated point. Default is
+<li><p><strong>k</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of neighbors to use for each interpolated point. Default is
 1.</p></li>
 <li><p><strong>reduction</strong> (<em>function</em>) – Function used to combine the values of the <em>k</em> neighbors into a single
 value. Can be any function that takes a 1D numpy array as input and
-outputs a single value. Default is <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.mean</span></code></a>.</p></li>
+outputs a single value. Default is <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.mean</span></code></a>.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>tree</strong> (<em>K-D tree</em>) – An instance of the K-D tree data structure for the data points that is
 used to query for nearest neighbors.</p></li>
 <li><p><strong>data</strong> (<em>1D array</em>) – A copy of the input data as a 1D array. Used to look up values for
 interpolation/prediction.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <code class="xref py py-meth docutils literal notranslate"><span class="pre">grid`</span></code> method.</p></li>
 </ul>
@@ -888,10 +554,6 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.filter" title="verde.KNeighbors.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -899,33 +561,45 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.fit" title="verde.KNeighbors.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the interpolator to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.get_params" title="verde.KNeighbors.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.get_metadata_routing" title="verde.KNeighbors.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.get_params" title="verde.KNeighbors.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.grid" title="verde.KNeighbors.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.grid</span></code></a>([region, shape, spacing, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.grid" title="verde.KNeighbors.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.grid</span></code></a>([region, shape, spacing, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.predict" title="verde.KNeighbors.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.predict" title="verde.KNeighbors.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.predict</span></code></a>(coordinates)</p></td>
 <td><p>Interpolate data on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.profile" title="verde.KNeighbors.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.profile</span></code></a>(point1, point2, size[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.profile" title="verde.KNeighbors.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.profile</span></code></a>(point1, point2, size[, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.scatter" title="verde.KNeighbors.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.scatter" title="verde.KNeighbors.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.score" title="verde.KNeighbors.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.score" title="verde.KNeighbors.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.set_fit_request" title="verde.KNeighbors.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.set_params" title="verde.KNeighbors.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.KNeighbors.set_predict_request" title="verde.KNeighbors.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.KNeighbors.set_score_request" title="verde.KNeighbors.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNeighbors.set_score_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.filter">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -934,21 +608,21 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -957,14 +631,14 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.fit">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the interpolator to the given data.</p>
 <p>The data region is captured and used as default for the
 <a class="reference internal" href="#verde.KNeighbors.grid" title="verde.KNeighbors.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -973,22 +647,36 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 ignored. Only present for compatibility with other gridders.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this gridder instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.KNeighbors.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.get_params">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -996,13 +684,13 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.grid">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1012,10 +700,10 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1025,13 +713,13 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1043,7 +731,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1051,7 +739,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1067,17 +755,17 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.predict">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/neighbors.html#KNeighbors.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.KNeighbors.predict" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data on the given set of points.</p>
 <p>Requires a fitted gridder (see <a class="reference internal" href="#verde.KNeighbors.fit" title="verde.KNeighbors.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values interpolated on the given points.</p>
 </dd>
 </dl>
@@ -1085,7 +773,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.profile">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1093,7 +781,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1120,20 +808,20 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1150,7 +838,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1158,7 +846,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.scatter">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1167,7 +855,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1175,21 +863,21 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1203,7 +891,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1211,7 +899,7 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.score">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1227,99 +915,284 @@ <h1>verde.KNeighbors<a class="headerlink" href="#verde-kneighbors" title="Permal
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.KNeighbors.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.KNeighbors" title="verde.neighbors.KNeighbors"><span class="pre">KNeighbors</span></a></span></span><a class="headerlink" href="#verde.KNeighbors.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.KNeighbors.set_params">
-<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.KNeighbors.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.KNeighbors.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.KNeighbors" title="verde.neighbors.KNeighbors"><span class="pre">KNeighbors</span></a></span></span><a class="headerlink" href="#verde.KNeighbors.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.KNeighbors.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">KNeighbors.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.KNeighbors" title="verde.neighbors.KNeighbors"><span class="pre">KNeighbors</span></a></span></span><a class="headerlink" href="#verde.KNeighbors.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-kneighbors">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.KNeighbors</span></code><a class="headerlink" href="#examples-using-verde-kneighbors" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id1">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.KNeighbors</span></code><a class="headerlink" href="#examples-using-verde-kneighbors" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div></div><div style='clear:both'></div></section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors"><code class="docutils literal notranslate"><span class="pre">KNeighbors</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.filter"><code class="docutils literal notranslate"><span class="pre">KNeighbors.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.fit"><code class="docutils literal notranslate"><span class="pre">KNeighbors.fit</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.get_params"><code class="docutils literal notranslate"><span class="pre">KNeighbors.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.grid"><code class="docutils literal notranslate"><span class="pre">KNeighbors.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.predict"><code class="docutils literal notranslate"><span class="pre">KNeighbors.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.profile"><code class="docutils literal notranslate"><span class="pre">KNeighbors.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.scatter"><code class="docutils literal notranslate"><span class="pre">KNeighbors.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.score"><code class="docutils literal notranslate"><span class="pre">KNeighbors.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.set_fit_request"><code class="docutils literal notranslate"><span class="pre">KNeighbors.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.set_params"><code class="docutils literal notranslate"><span class="pre">KNeighbors.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.set_predict_request"><code class="docutils literal notranslate"><span class="pre">KNeighbors.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.KNeighbors.set_score_request"><code class="docutils literal notranslate"><span class="pre">KNeighbors.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-kneighbors">Examples using <code class="docutils literal notranslate"><span class="pre">verde.KNeighbors</span></code></a></li>
+</ul>
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   <section id="verde-linear">
-<h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to this headline">#</a></h1>
+<h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Linear">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Linear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rescale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#Linear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Linear" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Linear</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rescale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#Linear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Linear" title="Link to this definition">#</a></dt>
 <dd><p>Piecewise linear interpolation.</p>
 <p>Provides a Verde interface to
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a>.</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a>.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>rescale</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, rescale the data coordinates to [0, 1] range before
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>rescale</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, rescale the data coordinates to [0, 1] range before
 interpolation. Useful when coordinates vary greatly in scale. Default
 is <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>interpolator</strong> (<em>scipy interpolator class</em>) – An instance of the corresponding scipy interpolator class.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.Linear.grid" title="verde.Linear.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> method.</p></li>
 </ul>
@@ -870,10 +536,6 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.filter" title="verde.Linear.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -881,33 +543,45 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.fit" title="verde.Linear.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the interpolator to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.get_params" title="verde.Linear.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.get_metadata_routing" title="verde.Linear.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.get_params" title="verde.Linear.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.grid" title="verde.Linear.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.grid" title="verde.Linear.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.predict" title="verde.Linear.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.predict" title="verde.Linear.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.predict</span></code></a>(coordinates)</p></td>
 <td><p>Interpolate data on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.profile" title="verde.Linear.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.profile" title="verde.Linear.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.scatter" title="verde.Linear.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.scatter" title="verde.Linear.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.score" title="verde.Linear.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.score" title="verde.Linear.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.set_fit_request" title="verde.Linear.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.set_params" title="verde.Linear.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Linear.set_predict_request" title="verde.Linear.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Linear.set_score_request" title="verde.Linear.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.filter">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -916,21 +590,21 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -939,14 +613,14 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.fit">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the interpolator to the given data.</p>
 <p>The data region is captured and used as default for the
 <code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code> method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -955,22 +629,36 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 ignored. Only present for compatibility with other gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this gridder instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Linear.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.get_params">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -978,13 +666,13 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.grid">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -994,10 +682,10 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1007,13 +695,13 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1025,7 +713,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1033,7 +721,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1049,17 +737,17 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.predict">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.predict" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data on the given set of points.</p>
 <p>Requires a fitted gridder (see <code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values interpolated on the given points.</p>
 </dd>
 </dl>
@@ -1067,7 +755,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.profile">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1075,7 +763,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1102,20 +790,20 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1132,7 +820,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1140,7 +828,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.scatter">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1149,7 +837,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1157,21 +845,21 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1185,7 +873,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1193,7 +881,7 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.score">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1209,99 +897,284 @@ <h1>verde.Linear<a class="headerlink" href="#verde-linear" title="Permalink to t
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Linear.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Linear" title="verde.scipygridder.Linear"><span class="pre">Linear</span></a></span></span><a class="headerlink" href="#verde.Linear.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Linear.set_params">
-<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Linear.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Linear.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Linear" title="verde.scipygridder.Linear"><span class="pre">Linear</span></a></span></span><a class="headerlink" href="#verde.Linear.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Linear.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Linear.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Linear" title="verde.scipygridder.Linear"><span class="pre">Linear</span></a></span></span><a class="headerlink" href="#verde.Linear.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-linear">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Linear</span></code><a class="headerlink" href="#examples-using-verde-linear" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id1">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Linear</span></code><a class="headerlink" href="#examples-using-verde-linear" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+                </article>
               
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear"><code class="docutils literal notranslate"><span class="pre">Linear</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.filter"><code class="docutils literal notranslate"><span class="pre">Linear.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.fit"><code class="docutils literal notranslate"><span class="pre">Linear.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Linear.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.get_params"><code class="docutils literal notranslate"><span class="pre">Linear.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.grid"><code class="docutils literal notranslate"><span class="pre">Linear.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.predict"><code class="docutils literal notranslate"><span class="pre">Linear.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.profile"><code class="docutils literal notranslate"><span class="pre">Linear.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.scatter"><code class="docutils literal notranslate"><span class="pre">Linear.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.score"><code class="docutils literal notranslate"><span class="pre">Linear.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Linear.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.set_params"><code class="docutils literal notranslate"><span class="pre">Linear.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Linear.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Linear.set_score_request"><code class="docutils literal notranslate"><span class="pre">Linear.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-linear">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Linear</span></code></a></li>
+</ul>
+  </nav></div>
+
+</div></div>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.fit"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.get_params"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.grid"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.predict"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.profile"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.scatter"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.score"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_fit_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_params"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_predict_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_score_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_score_request</span></code></a></li>
 </ul>
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   <section id="verde-scipygridder">
-<h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Permalink to this headline">#</a></h1>
+<h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.ScipyGridder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">ScipyGridder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cubic'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#ScipyGridder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.ScipyGridder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">ScipyGridder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cubic'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_args</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/scipygridder.html#ScipyGridder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.ScipyGridder" title="Link to this definition">#</a></dt>
 <dd><p>A scipy.interpolate based gridder for scalar Cartesian data.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -856,23 +522,23 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 and <a class="reference internal" href="verde.Cubic.html#verde.Cubic" title="verde.Cubic"><code class="xref py py-class docutils literal notranslate"><span class="pre">Cubic</span></code></a> instead.</p>
 </div>
 <p>Provides a verde gridder interface to the scipy interpolators
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a>,
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.NearestNDInterpolator.html#scipy.interpolate.NearestNDInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.NearestNDInterpolator</span></code></a>, and
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a> (cubic).</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a>,
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.NearestNDInterpolator.html#scipy.interpolate.NearestNDInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.NearestNDInterpolator</span></code></a>, and
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a> (cubic).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>method</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – The interpolation method. Either <code class="docutils literal notranslate"><span class="pre">'linear'</span></code>, <code class="docutils literal notranslate"><span class="pre">'nearest'</span></code>, or
+<li><p><strong>method</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The interpolation method. Either <code class="docutils literal notranslate"><span class="pre">'linear'</span></code>, <code class="docutils literal notranslate"><span class="pre">'nearest'</span></code>, or
 <code class="docutils literal notranslate"><span class="pre">'cubic'</span></code>.</p></li>
-<li><p><strong>extra_args</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Extra keyword arguments to pass to the scipy interpolator class. See
+<li><p><strong>extra_args</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Extra keyword arguments to pass to the scipy interpolator class. See
 the documentation for each interpolator for a list of possible
 arguments.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>interpolator</strong> (<em>scipy interpolator class</em>) – An instance of the corresponding scipy interpolator class.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.ScipyGridder.grid" title="verde.ScipyGridder.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and
 <a class="reference internal" href="#verde.ScipyGridder.scatter" title="verde.ScipyGridder.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
@@ -883,10 +549,6 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.filter" title="verde.ScipyGridder.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -894,33 +556,45 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.fit" title="verde.ScipyGridder.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the interpolator to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.get_params" title="verde.ScipyGridder.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.get_metadata_routing" title="verde.ScipyGridder.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.get_params" title="verde.ScipyGridder.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.grid" title="verde.ScipyGridder.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.grid</span></code></a>([region, shape, spacing, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.grid" title="verde.ScipyGridder.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.grid</span></code></a>([region, shape, spacing, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.predict" title="verde.ScipyGridder.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.predict" title="verde.ScipyGridder.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.predict</span></code></a>(coordinates)</p></td>
 <td><p>Interpolate data on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.profile" title="verde.ScipyGridder.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.profile</span></code></a>(point1, point2, size[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.profile" title="verde.ScipyGridder.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.profile</span></code></a>(point1, point2, size[, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.scatter" title="verde.ScipyGridder.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.scatter" title="verde.ScipyGridder.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.score" title="verde.ScipyGridder.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.score" title="verde.ScipyGridder.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.set_fit_request" title="verde.ScipyGridder.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.set_fit_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.set_params" title="verde.ScipyGridder.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.ScipyGridder.set_predict_request" title="verde.ScipyGridder.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.set_predict_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.ScipyGridder.set_score_request" title="verde.ScipyGridder.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder.set_score_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.filter">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -929,21 +603,21 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -952,14 +626,14 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.fit">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the interpolator to the given data.</p>
 <p>The data region is captured and used as default for the
 <code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code> method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -968,22 +642,36 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 ignored. Only present for compatibility with other gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this gridder instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.ScipyGridder.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.get_params">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -991,13 +679,13 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.grid">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1007,10 +695,10 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1020,13 +708,13 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1038,7 +726,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1046,7 +734,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1062,17 +750,17 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.predict">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.predict" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data on the given set of points.</p>
 <p>Requires a fitted gridder (see <code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values interpolated on the given points.</p>
 </dd>
 </dl>
@@ -1080,7 +768,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.profile">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1088,7 +776,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1115,20 +803,20 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1145,7 +833,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1153,7 +841,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.scatter">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1162,7 +850,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1170,21 +858,21 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1198,7 +886,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1206,7 +894,7 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.score">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1222,99 +910,284 @@ <h1>verde.ScipyGridder<a class="headerlink" href="#verde-scipygridder" title="Pe
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.ScipyGridder.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.ScipyGridder" title="verde.scipygridder.ScipyGridder"><span class="pre">ScipyGridder</span></a></span></span><a class="headerlink" href="#verde.ScipyGridder.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.ScipyGridder.set_params">
-<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.ScipyGridder.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.ScipyGridder.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.ScipyGridder" title="verde.scipygridder.ScipyGridder"><span class="pre">ScipyGridder</span></a></span></span><a class="headerlink" href="#verde.ScipyGridder.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.ScipyGridder.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">ScipyGridder.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.ScipyGridder" title="verde.scipygridder.ScipyGridder"><span class="pre">ScipyGridder</span></a></span></span><a class="headerlink" href="#verde.ScipyGridder.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-scipygridder">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.ScipyGridder</span></code><a class="headerlink" href="#examples-using-verde-scipygridder" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id1">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.ScipyGridder</span></code><a class="headerlink" href="#examples-using-verde-scipygridder" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder"><code class="docutils literal notranslate"><span class="pre">ScipyGridder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.filter"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.fit"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.get_params"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.grid"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.predict"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.profile"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.scatter"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.score"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_fit_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_params"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_predict_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.ScipyGridder.set_score_request"><code class="docutils literal notranslate"><span class="pre">ScipyGridder.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-scipygridder">Examples using <code class="docutils literal notranslate"><span class="pre">verde.ScipyGridder</span></code></a></li>
+</ul>
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diff --git a/dev/api/generated/verde.Spline.html b/dev/api/generated/verde.Spline.html
index 5f71da2c4..3e94eafd0 100644
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@@ -2,52 +2,62 @@
 
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+</li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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   <section id="verde-spline">
-<h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to this headline">#</a></h1>
+<h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Spline">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Spline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mindist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Spline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mindist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline" title="Link to this definition">#</a></dt>
 <dd><p>Biharmonic spline interpolation using Green’s functions.</p>
 <p>This gridder assumes Cartesian coordinates.</p>
 <p>Implements the 2D splines of <a class="reference internal" href="../../references.html#sandwell1987" id="id1"><span>[Sandwell1987]</span></a>. The Green’s function for the
@@ -876,23 +543,23 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 using the approximate solutions.</p>
 <p>Before fitting, the Jacobian (design, sensitivity, feature, etc) matrix for
 the spline is normalized using
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without centering the mean so
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without centering the mean so
 that the transformation can be undone in the estimated forces.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em> or </em><em>None</em>) – <strong>DEPRECATED:</strong> This argument is no longer needed and will be removed
+<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>None</em>) – <strong>DEPRECATED:</strong> This argument is no longer needed and will be removed
 in Verde 2.0.0. This fudge factor is no longer required since a new
 formulation eliminates the singularity at zero distance. Use the
 default value of <code class="docutils literal notranslate"><span class="pre">mindist=None</span></code> to get the future behaviour. A
 minimum distance between the point forces and data points.</p></li>
-<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The positive damping regularization parameter. Controls how much
+<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The positive damping regularization parameter. Controls how much
 smoothness is imposed on the estimated forces. If None, no
 regularization is used.</p></li>
-<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><em>tuple of arrays</em>) – The easting and northing coordinates of the point forces. If None
+<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The easting and northing coordinates of the point forces. If None
 (default), then will be set to the data coordinates used to fit the
 spline.</p></li>
-<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
+<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
 v2.0.0. The numba engine will be the only option. Computation engine
 for the Jacobian matrix and prediction. Can be <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, <code class="docutils literal notranslate"><span class="pre">'numba'</span></code>,
 or <code class="docutils literal notranslate"><span class="pre">'numpy'</span></code>. If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, will use numba if it is installed or
@@ -900,13 +567,13 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 faster, which makes fitting and predicting faster.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>force</strong> (<em>array</em>) – The estimated forces that fit the observed data.</p></li>
-<li><p><strong>force_coords</strong> (<em>tuple of arrays</em>) – The easting and northing coordinates of the point forces. Same as
+<li><p><strong>force_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The easting and northing coordinates of the point forces. Same as
 <em>force_coords</em> if it is not None. Otherwise, same as the data locations
 used to fit the spline.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Spline.scatter" title="verde.Spline.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
 </ul>
@@ -923,10 +590,6 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.filter" title="verde.Spline.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -934,36 +597,48 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.fit" title="verde.Spline.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the biharmonic spline to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.get_params" title="verde.Spline.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.get_metadata_routing" title="verde.Spline.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.get_params" title="verde.Spline.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.jacobian" title="verde.Spline.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.jacobian</span></code></a>(coordinates, force_coords[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.jacobian" title="verde.Spline.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.jacobian</span></code></a>(coordinates, force_coords[, ...])</p></td>
 <td><p>Make the Jacobian matrix for the 2D biharmonic spline.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.predict" title="verde.Spline.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.predict" title="verde.Spline.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate the estimated spline on the given set of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.profile" title="verde.Spline.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.profile" title="verde.Spline.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.scatter" title="verde.Spline.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.scatter" title="verde.Spline.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.score" title="verde.Spline.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.score" title="verde.Spline.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.set_fit_request" title="verde.Spline.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.set_params" title="verde.Spline.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Spline.set_predict_request" title="verde.Spline.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Spline.set_score_request" title="verde.Spline.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.filter">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -972,21 +647,21 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -995,15 +670,15 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.fit">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the biharmonic spline to the given data.</p>
 <p>The data region is captured and used as default for the
 <a class="reference internal" href="#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Spline.scatter" title="verde.Spline.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p>
 <p>All input arrays must have the same shape.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -1012,22 +687,36 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 Typically, this should be 1 over the data uncertainty squared.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Spline.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.get_params">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1035,13 +724,13 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.grid">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1051,10 +740,10 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1064,13 +753,13 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1082,7 +771,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1090,7 +779,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1106,23 +795,23 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.jacobian">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.jacobian" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.jacobian" title="Link to this definition">#</a></dt>
 <dd><p>Make the Jacobian matrix for the 2D biharmonic spline.</p>
 <p>Each column of the Jacobian is the Green’s function for a single force
 evaluated on all observation points <a class="reference internal" href="../../references.html#sandwell1987" id="id2"><span>[Sandwell1987]</span></a>.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
-<li><p><strong>force_coords</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates for the forces. Should be in the same
+<li><p><strong>force_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates for the forces. Should be in the same
 order as the coordinate arrays.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the Jacobian array.</p></li>
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the Jacobian array.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>jacobian</strong> (<em>2D array</em>) – The (n_data, n_forces) Jacobian matrix.</p>
 </dd>
 </dl>
@@ -1130,17 +819,17 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.predict">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#Spline.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Spline.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the estimated spline on the given set of points.</p>
 <p>Requires a fitted estimator (see <a class="reference internal" href="#verde.Spline.fit" title="verde.Spline.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values evaluated on the given points.</p>
 </dd>
 </dl>
@@ -1148,7 +837,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.profile">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1156,7 +845,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1183,20 +872,20 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1213,7 +902,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1221,7 +910,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.scatter">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1230,7 +919,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1238,21 +927,21 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1266,7 +955,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1274,7 +963,7 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.score">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1290,165 +979,318 @@ <h1>verde.Spline<a class="headerlink" href="#verde-spline" title="Permalink to t
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Spline.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Spline" title="verde.spline.Spline"><span class="pre">Spline</span></a></span></span><a class="headerlink" href="#verde.Spline.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Spline.set_params">
-<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Spline.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Spline.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Spline" title="verde.spline.Spline"><span class="pre">Spline</span></a></span></span><a class="headerlink" href="#verde.Spline.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Spline.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Spline.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Spline" title="verde.spline.Spline"><span class="pre">Spline</span></a></span></span><a class="headerlink" href="#verde.Spline.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-spline">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Spline</span></code><a class="headerlink" href="#examples-using-verde-spline" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id4">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id5">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id6">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id7">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id8">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id9">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><figure class="align-default" id="id10">
-<img alt="Overview" src="../../_images/sphx_glr_overview_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id11">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id12">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id12" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id13">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id13" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id14">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id14" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Spline</span></code><a class="headerlink" href="#examples-using-verde-spline" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><img alt="" src="../../_images/sphx_glr_overview_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Overview</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline"><code class="docutils literal notranslate"><span class="pre">Spline</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.filter"><code class="docutils literal notranslate"><span class="pre">Spline.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.fit"><code class="docutils literal notranslate"><span class="pre">Spline.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Spline.get_metadata_routing</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.jacobian"><code class="docutils literal notranslate"><span class="pre">Spline.jacobian</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.predict"><code class="docutils literal notranslate"><span class="pre">Spline.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.profile"><code class="docutils literal notranslate"><span class="pre">Spline.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.scatter"><code class="docutils literal notranslate"><span class="pre">Spline.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.score"><code class="docutils literal notranslate"><span class="pre">Spline.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Spline.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.set_params"><code class="docutils literal notranslate"><span class="pre">Spline.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Spline.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Spline.set_score_request"><code class="docutils literal notranslate"><span class="pre">Spline.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-spline">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Spline</span></code></a></li>
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-     verde.SplineCV
-    </span>
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+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV"><code class="docutils literal notranslate"><span class="pre">SplineCV</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.filter"><code class="docutils literal notranslate"><span class="pre">SplineCV.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.fit"><code class="docutils literal notranslate"><span class="pre">SplineCV.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">SplineCV.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.get_params"><code class="docutils literal notranslate"><span class="pre">SplineCV.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.grid"><code class="docutils literal notranslate"><span class="pre">SplineCV.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.predict"><code class="docutils literal notranslate"><span class="pre">SplineCV.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.profile"><code class="docutils literal notranslate"><span class="pre">SplineCV.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.scatter"><code class="docutils literal notranslate"><span class="pre">SplineCV.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.score"><code class="docutils literal notranslate"><span class="pre">SplineCV.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_fit_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_params"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_predict_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_score_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_score_request</span></code></a></li>
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   <section id="verde-splinecv">
-<h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink to this headline">#</a></h1>
+<h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.SplineCV">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">SplineCV</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mindists</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dampings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1e-10,</span> <span class="pre">1e-05,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delayed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scoring</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">SplineCV</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mindists</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dampings</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1e-10,</span> <span class="pre">1e-05,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delayed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scoring</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV" title="Link to this definition">#</a></dt>
 <dd><p>Cross-validated biharmonic spline interpolation.</p>
 <p>Similar to <a class="reference internal" href="verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> but automatically chooses the best
 <em>damping</em> and <em>mindist</em> parameters using cross-validation. Tests all
@@ -872,10 +538,10 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 <p>The <code class="docutils literal notranslate"><span class="pre">client</span></code> parameter is deprecated and will be removed in Verde
 v2.0.0. Use <code class="docutils literal notranslate"><span class="pre">delayed</span></code> instead.</p>
 </div>
-<p>Other cross-validation generators from <a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.2)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> can
+<p>Other cross-validation generators from <a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.4)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> can
 be used by passing them through the <em>cv</em> argument.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>mindists</strong> (<em>iterable</em><em> or </em><em>1d array</em><em> or </em><em>None</em>) – <strong>DEPRECATED:</strong> This argument is no longer needed and will be removed
 in Verde 2.0.0. This fudge factor is no longer required since a new
@@ -886,10 +552,10 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 <li><p><strong>dampings</strong> (<em>iterable</em><em> or </em><em>1d array</em>) – List (or other iterable) of <em>damping</em> parameter values to try. Is the
 positive damping regularization parameter. Controls how much smoothness
 is imposed on the estimated forces. If None, no regularization is used.</p></li>
-<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><em>tuple of arrays</em>) – The easting and northing coordinates of the point forces. If None
+<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The easting and northing coordinates of the point forces. If None
 (default), then will be set to the data coordinates the first time
 <a class="reference internal" href="#verde.SplineCV.fit" title="verde.SplineCV.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a> is called.</p></li>
-<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
+<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
 v2.0.0. The numba engine will be the only option. Computation engine
 for the Jacobian matrix and prediction. Can be <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, <code class="docutils literal notranslate"><span class="pre">'numba'</span></code>,
 or <code class="docutils literal notranslate"><span class="pre">'numpy'</span></code>. If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, will use numba if it is installed or
@@ -901,30 +567,30 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 v2.0.0. If None, then computations are run serially. Otherwise, should
 be a dask <code class="docutils literal notranslate"><span class="pre">Client</span></code> object. It will be used to dispatch computations
 to the dask cluster.</p></li>
-<li><p><strong>delayed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, will use <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> to dispatch computations and
+<li><p><strong>delayed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, will use <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> to dispatch computations and
 allow mod:<cite>dask</cite> to execute the grid search in parallel (see note
 above).</p></li>
-<li><p><strong>scoring</strong> (<em>None</em><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, or </em><em>callable</em>) – The scoring function (or name of a function) used for cross-validation.
+<li><p><strong>scoring</strong> (<em>None</em><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, or </em><em>callable</em>) – The scoring function (or name of a function) used for cross-validation.
 Must be known to scikit-learn. See the description of <em>scoring</em> in
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> for details. If None,
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> for details. If None,
 will fall back to the <a class="reference internal" href="verde.Spline.html#verde.Spline.score" title="verde.Spline.score"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Spline.score</span></code></a> method.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>force</strong> (<em>array</em>) – The estimated forces that fit the observed data.</p></li>
-<li><p><strong>force_coords</strong> (<em>tuple of arrays</em>) – The easting and northing coordinates of the point forces. Same as
+<li><p><strong>force_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The easting and northing coordinates of the point forces. Same as
 <em>force_coords</em> if it is not None. Otherwise, same as the data locations
 used to fit the spline.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.SplineCV.grid" title="verde.SplineCV.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.SplineCV.scatter" title="verde.SplineCV.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a>
 methods.</p></li>
 <li><p><strong>scores</strong> (<em>array</em>) – The mean cross-validation score for each parameter combination. If
 <code class="docutils literal notranslate"><span class="pre">delayed=True</span></code>, will be a list of <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> objects (see
 note above).</p></li>
-<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The optimal value for the <em>mindist</em> parameter.</p></li>
-<li><p><strong>damping</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The optimal value for the <em>damping</em> parameter.</p></li>
+<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The optimal value for the <em>mindist</em> parameter.</p></li>
+<li><p><strong>damping</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The optimal value for the <em>damping</em> parameter.</p></li>
 <li><p><strong>spline</strong> (<a class="reference internal" href="verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>) – A fitted <a class="reference internal" href="verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a> with the optimal configuration
 parameters.</p></li>
 </ul>
@@ -943,10 +609,6 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.filter" title="verde.SplineCV.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -954,33 +616,45 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.fit" title="verde.SplineCV.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the spline to the given data and automatically tune parameters.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.get_params" title="verde.SplineCV.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.get_metadata_routing" title="verde.SplineCV.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.get_params" title="verde.SplineCV.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.grid" title="verde.SplineCV.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.grid</span></code></a>([region, shape, spacing, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.grid" title="verde.SplineCV.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.grid</span></code></a>([region, shape, spacing, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.predict" title="verde.SplineCV.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.predict" title="verde.SplineCV.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate the best estimated spline on the given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.profile" title="verde.SplineCV.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.profile</span></code></a>(point1, point2, size[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.profile" title="verde.SplineCV.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.profile</span></code></a>(point1, point2, size[, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.scatter" title="verde.SplineCV.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.scatter" title="verde.SplineCV.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.score" title="verde.SplineCV.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.score" title="verde.SplineCV.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.set_fit_request" title="verde.SplineCV.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.set_params" title="verde.SplineCV.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.SplineCV.set_predict_request" title="verde.SplineCV.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.SplineCV.set_score_request" title="verde.SplineCV.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SplineCV.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.filter">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -989,21 +663,21 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -1012,7 +686,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.fit">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the spline to the given data and automatically tune parameters.</p>
 <p>For each combination of the parameters given, computes the mean cross
 validation score using <a class="reference internal" href="verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a> and the given CV
@@ -1023,9 +697,9 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 methods.</p>
 <p>All input arrays must have the same shape.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -1034,22 +708,36 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 Typically, this should be 1 over the data uncertainty squared.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.SplineCV.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.get_params">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1057,13 +745,13 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.grid">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1073,10 +761,10 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1086,13 +774,13 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1104,7 +792,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1112,7 +800,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1128,17 +816,17 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.predict">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/spline.html#SplineCV.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.SplineCV.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the best estimated spline on the given set of points.</p>
 <p>Requires a fitted estimator (see <a class="reference internal" href="#verde.SplineCV.fit" title="verde.SplineCV.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data values evaluated on the given points.</p>
 </dd>
 </dl>
@@ -1146,7 +834,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.profile">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1154,7 +842,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1181,20 +869,20 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1211,7 +899,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1219,7 +907,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.scatter">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1228,7 +916,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1236,21 +924,21 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1264,7 +952,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1272,7 +960,7 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.score">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1288,105 +976,287 @@ <h1>verde.SplineCV<a class="headerlink" href="#verde-splinecv" title="Permalink
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.SplineCV.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.SplineCV" title="verde.spline.SplineCV"><span class="pre">SplineCV</span></a></span></span><a class="headerlink" href="#verde.SplineCV.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.SplineCV.set_params">
-<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.SplineCV.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.SplineCV.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.SplineCV" title="verde.spline.SplineCV"><span class="pre">SplineCV</span></a></span></span><a class="headerlink" href="#verde.SplineCV.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.SplineCV.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">SplineCV.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.SplineCV" title="verde.spline.SplineCV"><span class="pre">SplineCV</span></a></span></span><a class="headerlink" href="#verde.SplineCV.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-splinecv">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.SplineCV</span></code><a class="headerlink" href="#examples-using-verde-splinecv" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id1">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id2">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.SplineCV</span></code><a class="headerlink" href="#examples-using-verde-splinecv" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+                </article>
               
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV"><code class="docutils literal notranslate"><span class="pre">SplineCV</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.filter"><code class="docutils literal notranslate"><span class="pre">SplineCV.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.fit"><code class="docutils literal notranslate"><span class="pre">SplineCV.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">SplineCV.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.get_params"><code class="docutils literal notranslate"><span class="pre">SplineCV.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.grid"><code class="docutils literal notranslate"><span class="pre">SplineCV.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.predict"><code class="docutils literal notranslate"><span class="pre">SplineCV.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.profile"><code class="docutils literal notranslate"><span class="pre">SplineCV.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.scatter"><code class="docutils literal notranslate"><span class="pre">SplineCV.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.score"><code class="docutils literal notranslate"><span class="pre">SplineCV.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_fit_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_params"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_predict_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.SplineCV.set_score_request"><code class="docutils literal notranslate"><span class="pre">SplineCV.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-splinecv">Examples using <code class="docutils literal notranslate"><span class="pre">verde.SplineCV</span></code></a></li>
+</ul>
+  </nav></div>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   <code class="docutils literal notranslate">
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-     verde.Trend
-    </span>
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- </li>
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+    <h1>verde.Trend</h1>
+    <!-- Table of contents -->
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend"><code class="docutils literal notranslate"><span class="pre">Trend</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.filter"><code class="docutils literal notranslate"><span class="pre">Trend.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.fit"><code class="docutils literal notranslate"><span class="pre">Trend.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Trend.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.get_params"><code class="docutils literal notranslate"><span class="pre">Trend.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.grid"><code class="docutils literal notranslate"><span class="pre">Trend.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.jacobian"><code class="docutils literal notranslate"><span class="pre">Trend.jacobian</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.predict"><code class="docutils literal notranslate"><span class="pre">Trend.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.profile"><code class="docutils literal notranslate"><span class="pre">Trend.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.scatter"><code class="docutils literal notranslate"><span class="pre">Trend.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.score"><code class="docutils literal notranslate"><span class="pre">Trend.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_params"><code class="docutils literal notranslate"><span class="pre">Trend.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_score_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_score_request</span></code></a></li>
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   <section id="verde-trend">
-<h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to this headline">#</a></h1>
+<h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Trend">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Trend</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">degree</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Trend</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">degree</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend" title="Link to this definition">#</a></dt>
 <dd><p>Fit a 2D polynomial trend to spatial data.</p>
 <p>The polynomial of degree <span class="math notranslate nohighlight">\(N\)</span> is defined as:</p>
 <div class="math notranslate nohighlight">
@@ -857,18 +524,18 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 respectively.</p>
 <p>The trend is estimated through weighted least-squares regression. The
 Jacobian (design, sensitivity, feature, etc) matrix for the regression is
-normalized using <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without
+normalized using <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without
 centering the mean so that the transformation can be undone in the
 estimated coefficients.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>degree</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The degree of the polynomial. Must be &gt;= 0 (a degree of zero would
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>degree</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The degree of the polynomial. Must be &gt;= 0 (a degree of zero would
 estimate the mean of the data).</p>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>coef</strong> (<em>array</em>) – The estimated polynomial coefficients that fit the observed data.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.Trend.grid" title="verde.Trend.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Trend.scatter" title="verde.Trend.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
 </ul>
@@ -923,10 +590,6 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.filter" title="verde.Trend.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -934,36 +597,48 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.fit" title="verde.Trend.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the trend to the given data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.get_params" title="verde.Trend.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.get_metadata_routing" title="verde.Trend.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.get_params" title="verde.Trend.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.grid" title="verde.Trend.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.grid" title="verde.Trend.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.jacobian" title="verde.Trend.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.jacobian</span></code></a>(coordinates[, dtype])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.jacobian" title="verde.Trend.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.jacobian</span></code></a>(coordinates[, dtype])</p></td>
 <td><p>Make the Jacobian matrix for a 2D polynomial.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.predict" title="verde.Trend.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.predict" title="verde.Trend.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate the polynomial trend on the given set of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.profile" title="verde.Trend.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.profile" title="verde.Trend.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.scatter" title="verde.Trend.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.scatter" title="verde.Trend.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.score" title="verde.Trend.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.score" title="verde.Trend.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.set_fit_request" title="verde.Trend.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.set_params" title="verde.Trend.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Trend.set_predict_request" title="verde.Trend.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Trend.set_score_request" title="verde.Trend.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Trend.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.filter">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -972,21 +647,21 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -995,15 +670,15 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.fit">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the trend to the given data.</p>
 <p>The data region is captured and used as default for the
 <a class="reference internal" href="#verde.Trend.grid" title="verde.Trend.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Trend.scatter" title="verde.Trend.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p>
 <p>All input arrays must have the same shape.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
@@ -1012,22 +687,36 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 Typically, this should be 1 over the data uncertainty squared.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Trend.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.get_params">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1035,13 +724,13 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.grid">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1051,10 +740,10 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1064,13 +753,13 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1082,7 +771,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1090,7 +779,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1106,21 +795,21 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.jacobian">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.jacobian" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.jacobian" title="Link to this definition">#</a></dt>
 <dd><p>Make the Jacobian matrix for a 2D polynomial.</p>
 <p>Each column of the Jacobian is <code class="docutils literal notranslate"><span class="pre">easting**i</span> <span class="pre">*</span> <span class="pre">northing**j</span></code> for each
 (i, j) pair in the polynomial.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the output Jacobian numpy array.</p></li>
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the output Jacobian numpy array.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>jacobian</strong> (<em>2D array</em>) – The (n_data, n_coefficients) Jacobian matrix.</p>
 </dd>
 </dl>
@@ -1146,17 +835,17 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.predict">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/trend.html#Trend.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Trend.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the polynomial trend on the given set of points.</p>
 <p>Requires a fitted estimator (see <a class="reference internal" href="#verde.Trend.fit" title="verde.Trend.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The trend values evaluated on the given points.</p>
 </dd>
 </dl>
@@ -1164,7 +853,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.profile">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1172,7 +861,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1199,20 +888,20 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1229,7 +918,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1237,7 +926,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.scatter">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1246,7 +935,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1254,21 +943,21 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1282,7 +971,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1290,7 +979,7 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.score">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1306,129 +995,300 @@ <h1>verde.Trend<a class="headerlink" href="#verde-trend" title="Permalink to thi
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Trend.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Trend" title="verde.trend.Trend"><span class="pre">Trend</span></a></span></span><a class="headerlink" href="#verde.Trend.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Trend.set_params">
-<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Trend.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Trend.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Trend" title="verde.trend.Trend"><span class="pre">Trend</span></a></span></span><a class="headerlink" href="#verde.Trend.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Trend.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Trend.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Trend" title="verde.trend.Trend"><span class="pre">Trend</span></a></span></span><a class="headerlink" href="#verde.Trend.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-trend">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Trend</span></code><a class="headerlink" href="#examples-using-verde-trend" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id1">
-<img alt="Polynomial trend" src="../../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id2">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id3">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id4">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id5">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id6">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Trend</span></code><a class="headerlink" href="#examples-using-verde-trend" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend"><code class="docutils literal notranslate"><span class="pre">Trend</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.filter"><code class="docutils literal notranslate"><span class="pre">Trend.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.fit"><code class="docutils literal notranslate"><span class="pre">Trend.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Trend.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.get_params"><code class="docutils literal notranslate"><span class="pre">Trend.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.grid"><code class="docutils literal notranslate"><span class="pre">Trend.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.jacobian"><code class="docutils literal notranslate"><span class="pre">Trend.jacobian</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.predict"><code class="docutils literal notranslate"><span class="pre">Trend.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.profile"><code class="docutils literal notranslate"><span class="pre">Trend.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.scatter"><code class="docutils literal notranslate"><span class="pre">Trend.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.score"><code class="docutils literal notranslate"><span class="pre">Trend.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_params"><code class="docutils literal notranslate"><span class="pre">Trend.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Trend.set_score_request"><code class="docutils literal notranslate"><span class="pre">Trend.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-trend">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Trend</span></code></a></li>
+</ul>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.filter"><code class="docutils literal notranslate"><span class="pre">Vector.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.fit"><code class="docutils literal notranslate"><span class="pre">Vector.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Vector.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.get_params"><code class="docutils literal notranslate"><span class="pre">Vector.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.grid"><code class="docutils literal notranslate"><span class="pre">Vector.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.predict"><code class="docutils literal notranslate"><span class="pre">Vector.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.profile"><code class="docutils literal notranslate"><span class="pre">Vector.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.scatter"><code class="docutils literal notranslate"><span class="pre">Vector.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.score"><code class="docutils literal notranslate"><span class="pre">Vector.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_params"><code class="docutils literal notranslate"><span class="pre">Vector.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_score_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_score_request</span></code></a></li>
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-   Examples using
-   <code class="docutils literal notranslate">
-    <span class="pre">
-     verde.Vector
-    </span>
-   </code>
-  </a>
- </li>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-vector">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Vector</span></code></a></li>
 </ul>
+            </nav>
+        </div>
+    </div>
+</div>
 
-                        </nav>
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-vector">
-<h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to this headline">#</a></h1>
+<h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.Vector">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Vector</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">components</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">Vector</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">components</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector" title="Link to this definition">#</a></dt>
 <dd><p>Fit an estimator to each component of multi-component vector data.</p>
 <p>Provides a convenient way of fitting and gridding vector data using scalar
 gridders and estimators.</p>
@@ -863,15 +529,15 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 list comprehension instead: <code class="docutils literal notranslate"><span class="pre">[vd.Trend(1)</span> <span class="pre">for</span> <span class="pre">i</span> <span class="pre">in</span> <span class="pre">range(3)]</span></code>.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>components</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – A tuple or list of the estimator/gridder instances used for each
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>components</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – A tuple or list of the estimator/gridder instances used for each
 component. The estimators will be applied for each data component in
 the same order that they are given here.</p>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
-<li><p><strong>components</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – Tuple of the fitted estimators on each component of the data.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>components</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – Tuple of the fitted estimators on each component of the data.</p></li>
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Vector.scatter" title="verde.Vector.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
 </ul>
@@ -888,10 +554,6 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.filter" title="verde.Vector.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -899,33 +561,45 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.fit" title="verde.Vector.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the estimators to the given multi-component data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.get_params" title="verde.Vector.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.get_metadata_routing" title="verde.Vector.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.get_params" title="verde.Vector.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.grid</span></code></a>([region, shape, spacing, dims, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.predict" title="verde.Vector.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.predict" title="verde.Vector.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate each data component on a set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.profile" title="verde.Vector.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.profile" title="verde.Vector.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.profile</span></code></a>(point1, point2, size[, dims, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.scatter" title="verde.Vector.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.scatter</span></code></a>([region, size, random_state, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.scatter" title="verde.Vector.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.scatter</span></code></a>([region, size, random_state, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.score" title="verde.Vector.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.score" title="verde.Vector.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.set_fit_request" title="verde.Vector.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.set_fit_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.set_params" title="verde.Vector.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.Vector.set_predict_request" title="verde.Vector.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.Vector.set_score_request" title="verde.Vector.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Vector.set_score_request</span></code></a>(*[, coordinates, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.filter">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -934,21 +608,21 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -957,42 +631,56 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.fit">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the estimators to the given multi-component data.</p>
 <p>The data region is captured and used as default for the
 <a class="reference internal" href="#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and <a class="reference internal" href="#verde.Vector.scatter" title="verde.Vector.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p>
 <p>All input arrays must have the same shape. If weights are given, there
 must be a separate array for each component of the data.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
-<li><p><strong>data</strong> (<em>tuple of array</em>) – The data values of each component at each data point. Must be a
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>array</em>) – The data values of each component at each data point. Must be a
 tuple.</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>tuple of array</em>) – If not None, then the weights assigned to each data point of each
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>array</em>) – If not None, then the weights assigned to each data point of each
 data component. Typically, this should be 1 over the data
 uncertainty squared.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Vector.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.get_params">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1000,13 +688,13 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.grid">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1016,10 +704,10 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1029,13 +717,13 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1047,7 +735,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1055,7 +743,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1071,17 +759,17 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.predict">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#Vector.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.Vector.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate each data component on a set of points.</p>
 <p>Requires a fitted estimator (see <a class="reference internal" href="#verde.Vector.fit" title="verde.Vector.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>tuple of array</em>) – The values for each vector component evaluated on the given points.
 The order of components will be the same as was provided to
 <a class="reference internal" href="#verde.Vector.fit" title="verde.Vector.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>.</p>
@@ -1091,7 +779,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.profile">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1099,7 +787,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1126,20 +814,20 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1156,7 +844,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1164,7 +852,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.scatter">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1173,7 +861,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1181,21 +869,21 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1209,7 +897,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1217,7 +905,7 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.score">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1233,117 +921,293 @@ <h1>verde.Vector<a class="headerlink" href="#verde-vector" title="Permalink to t
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Vector.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Vector" title="verde.vector.Vector"><span class="pre">Vector</span></a></span></span><a class="headerlink" href="#verde.Vector.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.Vector.set_params">
-<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.Vector.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Vector.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Vector" title="verde.vector.Vector"><span class="pre">Vector</span></a></span></span><a class="headerlink" href="#verde.Vector.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.Vector.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">Vector.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.Vector" title="verde.vector.Vector"><span class="pre">Vector</span></a></span></span><a class="headerlink" href="#verde.Vector.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-vector">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Vector</span></code><a class="headerlink" href="#examples-using-verde-vector" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id1">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id2">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id3">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id4">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.Vector</span></code><a class="headerlink" href="#examples-using-verde-vector" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector"><code class="docutils literal notranslate"><span class="pre">Vector</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.filter"><code class="docutils literal notranslate"><span class="pre">Vector.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.fit"><code class="docutils literal notranslate"><span class="pre">Vector.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">Vector.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.get_params"><code class="docutils literal notranslate"><span class="pre">Vector.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.grid"><code class="docutils literal notranslate"><span class="pre">Vector.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.predict"><code class="docutils literal notranslate"><span class="pre">Vector.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.profile"><code class="docutils literal notranslate"><span class="pre">Vector.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.scatter"><code class="docutils literal notranslate"><span class="pre">Vector.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.score"><code class="docutils literal notranslate"><span class="pre">Vector.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_fit_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_params"><code class="docutils literal notranslate"><span class="pre">Vector.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_predict_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.Vector.set_score_request"><code class="docutils literal notranslate"><span class="pre">Vector.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-vector">Examples using <code class="docutils literal notranslate"><span class="pre">verde.Vector</span></code></a></li>
+</ul>
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+
+</div></div>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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   <section id="verde-vectorspline2d">
-<h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title="Permalink to this headline">#</a></h1>
+<h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.VectorSpline2D">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">VectorSpline2D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">poisson</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mindist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">VectorSpline2D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">poisson</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mindist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D" title="Link to this definition">#</a></dt>
 <dd><p>Elastically coupled interpolation of 2-component vector data.</p>
 <p>This gridder assumes Cartesian coordinates.</p>
 <p>Uses the Green’s functions based on elastic deformation from
@@ -874,25 +541,25 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 solution is required for data weights to have any effect.</p>
 <p>Before fitting, the Jacobian (design, sensitivity, feature, etc) matrix for
 the spline is normalized using
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without centering the mean so
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.StandardScaler</span></code></a> without centering the mean so
 that the transformation can be undone in the estimated forces.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>poisson</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The Poisson’s ratio for the elastic deformation Green’s functions.
+<li><p><strong>poisson</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The Poisson’s ratio for the elastic deformation Green’s functions.
 Default is 0.5. A value of -1 will lead to uncoupled interpolation of
 the east and north data components.</p></li>
-<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – A minimum distance between the point forces and data points. Needed
+<li><p><strong>mindist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – A minimum distance between the point forces and data points. Needed
 because the Green’s functions are singular when forces and data points
 coincide. Acts as a fudge factor. A good rule of thumb is to use the
 average spacing between data points.</p></li>
-<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The positive damping regularization parameter. Controls how much
+<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The positive damping regularization parameter. Controls how much
 smoothness is imposed on the estimated forces. If None, no
 regularization is used.</p></li>
-<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><em>tuple of arrays</em>) – The easting and northing coordinates of the point forces. If None
+<li><p><strong>force_coords</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The easting and northing coordinates of the point forces. If None
 (default), then will be set to the data coordinates the first time
 <a class="reference internal" href="#verde.VectorSpline2D.fit" title="verde.VectorSpline2D.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a> is called.</p></li>
-<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
+<li><p><strong>engine</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
 v2.0.0. The numba engine will be the only option. Computation engine
 for the Jacobian matrix and prediction. Can be <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, <code class="docutils literal notranslate"><span class="pre">'numba'</span></code>,
 or <code class="docutils literal notranslate"><span class="pre">'numpy'</span></code>. If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, will use numba if it is installed or
@@ -900,10 +567,10 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 faster, which makes fitting and predicting faster.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Variables</dt>
+<dt class="field-even">Variables<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>force</strong> (<em>array</em>) – The estimated forces that fit the observed data.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the data used to fit the
 interpolator. Used as the default region for the
 <a class="reference internal" href="#verde.VectorSpline2D.grid" title="verde.VectorSpline2D.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and
 <a class="reference internal" href="#verde.VectorSpline2D.scatter" title="verde.VectorSpline2D.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p></li>
@@ -914,10 +581,6 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.filter" title="verde.VectorSpline2D.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.filter</span></code></a>(coordinates, data[, ...])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -925,36 +588,48 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.fit" title="verde.VectorSpline2D.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the gridder to the given 2-component vector data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.get_params" title="verde.VectorSpline2D.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.get_metadata_routing" title="verde.VectorSpline2D.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.get_params" title="verde.VectorSpline2D.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.grid" title="verde.VectorSpline2D.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.grid</span></code></a>([region, shape, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.grid" title="verde.VectorSpline2D.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.grid</span></code></a>([region, shape, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.jacobian" title="verde.VectorSpline2D.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.jacobian</span></code></a>(coordinates, ...[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.jacobian" title="verde.VectorSpline2D.jacobian"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.jacobian</span></code></a>(coordinates, ...[, ...])</p></td>
 <td><p>Make the Jacobian matrix for the 2D coupled elastic deformation.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.predict" title="verde.VectorSpline2D.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.predict" title="verde.VectorSpline2D.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate the fitted gridder on the given set of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.profile" title="verde.VectorSpline2D.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.profile</span></code></a>(point1, point2, size)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.profile" title="verde.VectorSpline2D.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.profile</span></code></a>(point1, point2, size)</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.scatter" title="verde.VectorSpline2D.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.scatter" title="verde.VectorSpline2D.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.score" title="verde.VectorSpline2D.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.score</span></code></a>(coordinates, data[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.score" title="verde.VectorSpline2D.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.score</span></code></a>(coordinates, data[, ...])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.set_fit_request" title="verde.VectorSpline2D.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.set_fit_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.set_params" title="verde.VectorSpline2D.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.VectorSpline2D.set_predict_request" title="verde.VectorSpline2D.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.set_predict_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.VectorSpline2D.set_score_request" title="verde.VectorSpline2D.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VectorSpline2D.set_score_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.filter">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -963,21 +638,21 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -986,42 +661,56 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.fit">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the gridder to the given 2-component vector data.</p>
 <p>The data region is captured and used as default for the
 <a class="reference internal" href="#verde.VectorSpline2D.grid" title="verde.VectorSpline2D.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and
 <a class="reference internal" href="#verde.VectorSpline2D.scatter" title="verde.VectorSpline2D.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter</span></code></a> methods.</p>
 <p>All input arrays must have the same shape.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
-<li><p><strong>data</strong> (<em>tuple of array</em>) – A tuple <code class="docutils literal notranslate"><span class="pre">(east_component,</span> <span class="pre">north_component)</span></code> of arrays with the
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>array</em>) – A tuple <code class="docutils literal notranslate"><span class="pre">(east_component,</span> <span class="pre">north_component)</span></code> of arrays with the
 vector data values at each point.</p></li>
 <li><p><strong>weights</strong> (<em>None</em><em> or </em><em>tuple array</em>) – If not None, then the weights assigned to each data point. Must be
 one array per data component. Typically, this should be 1 over the
 data uncertainty squared.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – Returns this estimator instance for chaining operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.VectorSpline2D.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.get_params">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1029,13 +718,13 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.grid">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1045,10 +734,10 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1058,13 +747,13 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1076,7 +765,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1084,7 +773,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1100,7 +789,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.jacobian">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.jacobian" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">jacobian</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_coords</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.jacobian"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.jacobian" title="Link to this definition">#</a></dt>
 <dd><p>Make the Jacobian matrix for the 2D coupled elastic deformation.</p>
 <p>The Jacobian is segmented into 4 parts, each relating a force component
 to a data component <a class="reference internal" href="../../references.html#sandwellwessel2016" id="id3"><span>[SandwellWessel2016]</span></a>:</p>
@@ -1111,18 +800,18 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 <p>The forces and data are assumed to be stacked into 1D arrays with the
 east component on top of the north component.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p></li>
-<li><p><strong>force_coords</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates for the forces. Should be in the same
+<li><p><strong>force_coords</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates for the forces. Should be in the same
 order as the coordinate arrays.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the Jacobian array.</p></li>
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the Jacobian array.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>jacobian</strong> (<em>2D array</em>) – The (n_data*2, n_forces*2) Jacobian matrix.</p>
 </dd>
 </dl>
@@ -1130,17 +819,17 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.predict">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/vector.html#VectorSpline2D.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.VectorSpline2D.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the fitted gridder on the given set of points.</p>
 <p>Requires a fitted estimator (see <a class="reference internal" href="#verde.VectorSpline2D.fit" title="verde.VectorSpline2D.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>tuple of arrays</em>) – A tuple <code class="docutils literal notranslate"><span class="pre">(east_component,</span> <span class="pre">north_component)</span></code> of arrays with the
 predicted vector data values at each point.</p>
 </dd>
@@ -1149,7 +838,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.profile">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1157,7 +846,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1184,20 +873,20 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1214,7 +903,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1222,7 +911,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.scatter">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1231,7 +920,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1239,21 +928,21 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1267,7 +956,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1275,7 +964,7 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.score">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1291,99 +980,285 @@ <h1>verde.VectorSpline2D<a class="headerlink" href="#verde-vectorspline2d" title
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.VectorSpline2D.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.VectorSpline2D" title="verde.vector.VectorSpline2D"><span class="pre">VectorSpline2D</span></a></span></span><a class="headerlink" href="#verde.VectorSpline2D.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.VectorSpline2D.set_params">
-<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.VectorSpline2D.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.VectorSpline2D.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.VectorSpline2D" title="verde.vector.VectorSpline2D"><span class="pre">VectorSpline2D</span></a></span></span><a class="headerlink" href="#verde.VectorSpline2D.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.VectorSpline2D.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">VectorSpline2D.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.VectorSpline2D" title="verde.vector.VectorSpline2D"><span class="pre">VectorSpline2D</span></a></span></span><a class="headerlink" href="#verde.VectorSpline2D.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-vectorspline2d">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.VectorSpline2D</span></code><a class="headerlink" href="#examples-using-verde-vectorspline2d" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id4">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.VectorSpline2D</span></code><a class="headerlink" href="#examples-using-verde-vectorspline2d" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.filter"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.fit"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.get_params"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.grid"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.jacobian"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.jacobian</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.predict"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.profile"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.scatter"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.score"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.set_fit_request"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.set_params"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.set_predict_request"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.VectorSpline2D.set_score_request"><code class="docutils literal notranslate"><span class="pre">VectorSpline2D.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-vectorspline2d">Examples using <code class="docutils literal notranslate"><span class="pre">verde.VectorSpline2D</span></code></a></li>
+</ul>
+  </nav></div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.get_n_splits"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_n_splits</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.split"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.split</span></code></a></li>
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-                <h1>verde.base.BaseBlockCrossValidator</h1>
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-  <a class="reference internal nav-link" href="#examples-using-verde-base-baseblockcrossvalidator">
-   Examples using
-   <code class="docutils literal notranslate">
-    <span class="pre">
-     verde.base.BaseBlockCrossValidator
-    </span>
-   </code>
-  </a>
- </li>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-base-baseblockcrossvalidator">Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseBlockCrossValidator</span></code></a></li>
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   <section id="verde-base-baseblockcrossvalidator">
-<h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-baseblockcrossvalidator" title="Permalink to this headline">#</a></h1>
+<h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-baseblockcrossvalidator" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.base.BaseBlockCrossValidator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">BaseBlockCrossValidator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">BaseBlockCrossValidator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_splits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator" title="Link to this definition">#</a></dt>
 <dd><p>Base class for spatially blocked cross-validators.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the spacing is equal in both
 directions. If None, then <em>shape</em> <strong>must be provided</strong>.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively. If None, then <em>spacing</em> <strong>must be provided</strong>.</p></li>
-<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – Number of splitting iterations.</p></li>
+<li><p><strong>n_splits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Number of splitting iterations.</p></li>
 </ul>
 </dd>
 </dl>
@@ -865,33 +521,46 @@ <h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-ba
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseBlockCrossValidator.get_n_splits" title="verde.base.BaseBlockCrossValidator.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_n_splits</span></code></a>([X, y, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseBlockCrossValidator.get_metadata_routing" title="verde.base.BaseBlockCrossValidator.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseBlockCrossValidator.get_n_splits" title="verde.base.BaseBlockCrossValidator.get_n_splits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_n_splits</span></code></a>([X, y, ...])</p></td>
 <td><p>Returns the number of splitting iterations in the cross-validator</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseBlockCrossValidator.split" title="verde.base.BaseBlockCrossValidator.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.split</span></code></a>(X[, y, groups])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseBlockCrossValidator.split" title="verde.base.BaseBlockCrossValidator.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.split</span></code></a>(X[, y, groups])</p></td>
 <td><p>Generate indices to split data into training and test set.</p></td>
 </tr>
 </tbody>
 </table>
 <hr class="docutils" />
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.base.BaseBlockCrossValidator.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BaseBlockCrossValidator.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseBlockCrossValidator.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseBlockCrossValidator.get_n_splits">
-<span class="sig-prename descclassname"><span class="pre">BaseBlockCrossValidator.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator.get_n_splits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator.get_n_splits" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseBlockCrossValidator.</span></span><span class="sig-name descname"><span class="pre">get_n_splits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator.get_n_splits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator.get_n_splits" title="Link to this definition">#</a></dt>
 <dd><p>Returns the number of splitting iterations in the cross-validator</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
-<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.11)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>X</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
+<li><p><strong>groups</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.12)"><em>object</em></a>) – Always ignored, exists for compatibility.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>n_splits</strong> (<em>int</em>) – Returns the number of splitting iterations in the cross-validator.</p>
 </dd>
 </dl>
@@ -899,10 +568,10 @@ <h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-ba
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseBlockCrossValidator.split">
-<span class="sig-prename descclassname"><span class="pre">BaseBlockCrossValidator.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator.split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator.split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseBlockCrossValidator.</span></span><span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">groups</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseBlockCrossValidator.split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseBlockCrossValidator.split" title="Link to this definition">#</a></dt>
 <dd><p>Generate indices to split data into training and test set.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>X</strong> (<em>array-like</em><em>, </em><em>shape</em><em> (</em><em>n_samples</em><em>, </em><em>2</em><em>)</em>) – Columns should be the easting and northing coordinates of data
 points, respectively.</p></li>
@@ -912,7 +581,7 @@ <h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-ba
 train/test set. Always ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Yields</dt>
+<dt class="field-even">Yields<span class="colon">:</span></dt>
 <dd class="field-even"><ul class="simple">
 <li><p><strong>train</strong> (<em>ndarray</em>) – The training set indices for that split.</p></li>
 <li><p><strong>test</strong> (<em>ndarray</em>) – The testing set indices for that split.</p></li>
@@ -922,60 +591,116 @@ <h1>verde.base.BaseBlockCrossValidator<a class="headerlink" href="#verde-base-ba
 </dd></dl>
 
 <section id="examples-using-verde-base-baseblockcrossvalidator">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseBlockCrossValidator</span></code><a class="headerlink" href="#examples-using-verde-base-baseblockcrossvalidator" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><figure class="align-default" id="id1">
-<img alt="K-Fold cross-validation with blocks" src="../../_images/sphx_glr_blockkfold_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseBlockCrossValidator</span></code><a class="headerlink" href="#examples-using-verde-base-baseblockcrossvalidator" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><img alt="" src="../../_images/sphx_glr_blockkfold_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></p>
+  <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.get_n_splits"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.get_n_splits</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseBlockCrossValidator.split"><code class="docutils literal notranslate"><span class="pre">BaseBlockCrossValidator.split</span></code></a></li>
+</ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-base-baseblockcrossvalidator">Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseBlockCrossValidator</span></code></a></li>
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+      </main>
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+  </div>
   
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+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/api/generated/verde.base.BaseGridder.html b/dev/api/generated/verde.base.BaseGridder.html
index 2062f5dac..8502c9a72 100644
--- a/dev/api/generated/verde.base.BaseGridder.html
+++ b/dev/api/generated/verde.base.BaseGridder.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.base.BaseGridder | Verde dev</title>
     
 
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+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+  
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-  <link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../_static/custom.css?v=44687e0a" />
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-  <link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
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-    <script src="../../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.base.BaseGridder';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.base.BaseBlockCrossValidator" href="verde.base.BaseBlockCrossValidator.html" />
@@ -55,799 +65,455 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
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-    <div class="visually-hidden">Toggle navigation sidebar</div>
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-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
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+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
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+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+  
 
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
       
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-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
-      
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-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
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-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
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+  <div class="sidebar-header-items sidebar-primary__section">
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
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-   Overview
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- <li class="toctree-l1">
-  <a class="reference internal" href="../../install.html">
-   Installing
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- </li>
- <li class="toctree-l1 has-children">
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-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder"><code class="docutils literal notranslate"><span class="pre">BaseGridder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.filter"><code class="docutils literal notranslate"><span class="pre">BaseGridder.filter</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.grid"><code class="docutils literal notranslate"><span class="pre">BaseGridder.grid</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.set_params"><code class="docutils literal notranslate"><span class="pre">BaseGridder.set_params</span></code></a></li>
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   <section id="verde-base-basegridder">
-<h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" title="Permalink to this headline">#</a></h1>
+<h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.base.BaseGridder">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">BaseGridder</span></span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">BaseGridder</span></span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder" title="Link to this definition">#</a></dt>
 <dd><p>Base class for gridders.</p>
 <p>Most methods of this class requires the implementation of a
 <a class="reference internal" href="#verde.base.BaseGridder.predict" title="verde.base.BaseGridder.predict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">predict</span></code></a> method. The data returned by it
@@ -857,7 +523,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 implementation of a <a class="reference internal" href="#verde.base.BaseGridder.fit" title="verde.base.BaseGridder.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a> method to fit the
 gridder model to data.</p>
 <p>Doesn’t define any new attributes.</p>
-<p>This is a subclass of <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html#sklearn.base.BaseEstimator" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.base.BaseEstimator</span></code></a> and must abide by
+<p>This is a subclass of <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html#sklearn.base.BaseEstimator" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.base.BaseEstimator</span></code></a> and must abide by
 the same rules of the scikit-learn classes. Mainly:</p>
 <ul class="simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">__init__</span></code> must <strong>only</strong> assign values to attributes based on the
@@ -914,10 +580,6 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.filter" title="verde.base.BaseGridder.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -925,33 +587,45 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.fit" title="verde.base.BaseGridder.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the gridder to observed data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.get_params" title="verde.base.BaseGridder.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.get_metadata_routing" title="verde.base.BaseGridder.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.get_params" title="verde.base.BaseGridder.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.grid" title="verde.base.BaseGridder.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.grid</span></code></a>([region, shape, spacing, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.grid" title="verde.base.BaseGridder.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.grid</span></code></a>([region, shape, spacing, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.predict" title="verde.base.BaseGridder.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.predict" title="verde.base.BaseGridder.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.predict</span></code></a>(coordinates)</p></td>
 <td><p>Predict data on the given coordinate values.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.profile" title="verde.base.BaseGridder.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.profile</span></code></a>(point1, point2, size[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.profile" title="verde.base.BaseGridder.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.profile</span></code></a>(point1, point2, size[, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.scatter" title="verde.base.BaseGridder.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.scatter" title="verde.base.BaseGridder.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Interpolate values onto a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.score" title="verde.base.BaseGridder.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.score" title="verde.base.BaseGridder.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.set_fit_request" title="verde.base.BaseGridder.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.set_fit_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.set_params" title="verde.base.BaseGridder.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.base.BaseGridder.set_predict_request" title="verde.base.BaseGridder.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.set_predict_request</span></code></a>(*[, coordinates])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.base.BaseGridder.set_score_request" title="verde.base.BaseGridder.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseGridder.set_score_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.filter">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -960,21 +634,21 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -983,38 +657,52 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.fit">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.fit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the gridder to observed data. NOT IMPLEMENTED.</p>
 <p>This is a dummy placeholder for an actual method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – This instance of the gridder. Useful to chain operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.base.BaseGridder.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseGridder.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.get_params">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseGridder.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseGridder.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -1022,13 +710,13 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.grid">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1038,10 +726,10 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1051,13 +739,13 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1069,7 +757,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1077,7 +765,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1093,15 +781,15 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.predict">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.predict" title="Link to this definition">#</a></dt>
 <dd><p>Predict data on the given coordinate values. NOT IMPLEMENTED.</p>
 <p>This is a dummy placeholder for an actual method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The data predicted at the give coordinates.</p>
 </dd>
 </dl>
@@ -1109,7 +797,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.profile">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.profile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.profile"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1117,7 +805,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1144,20 +832,20 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1174,7 +862,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1182,7 +870,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.scatter">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.scatter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.scatter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate values onto a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1191,7 +879,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>. Otherwise, you must specify the grid region.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">scatter</span></code> method is deprecated and will be removed in Verde
@@ -1199,21 +887,21 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1227,7 +915,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1235,7 +923,7 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.score">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/base_classes.html#BaseGridder.score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.BaseGridder.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1251,207 +939,338 @@ <h1>verde.base.BaseGridder<a class="headerlink" href="#verde-base-basegridder" t
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.base.BaseGridder.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.base.BaseGridder" title="verde.base.base_classes.BaseGridder"><span class="pre">BaseGridder</span></a></span></span><a class="headerlink" href="#verde.base.BaseGridder.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.base.BaseGridder.set_params">
-<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseGridder.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.base.BaseGridder.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.base.BaseGridder.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.base.BaseGridder" title="verde.base.base_classes.BaseGridder"><span class="pre">BaseGridder</span></a></span></span><a class="headerlink" href="#verde.base.BaseGridder.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.base.BaseGridder.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">BaseGridder.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.base.BaseGridder" title="verde.base.base_classes.BaseGridder"><span class="pre">BaseGridder</span></a></span></span><a class="headerlink" href="#verde.base.BaseGridder.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-base-basegridder">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseGridder</span></code><a class="headerlink" href="#examples-using-verde-base-basegridder" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><figure class="align-default" id="id1">
-<img alt="Checkerboard function" src="../../_images/sphx_glr_checkerboard_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id2">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id3">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id4">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id5">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id6">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id7">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id8">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id9">
-<img alt="Polynomial trend" src="../../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id10">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id11">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id12">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id12" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id13">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id13" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id14">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id14" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><figure class="align-default" id="id15">
-<img alt="Overview" src="../../_images/sphx_glr_overview_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></span><a class="headerlink" href="#id15" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id16">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id16" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id17">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id17" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id18">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id18" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id19">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id19" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseGridder</span></code><a class="headerlink" href="#examples-using-verde-base-basegridder" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><img alt="" src="../../_images/sphx_glr_checkerboard_thumb.png" />
+<p><a class="reference internal" href="../../gallery/checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Checkerboard function</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><img alt="" src="../../_images/sphx_glr_overview_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Overview</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder"><code class="docutils literal notranslate"><span class="pre">BaseGridder</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.filter"><code class="docutils literal notranslate"><span class="pre">BaseGridder.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.fit"><code class="docutils literal notranslate"><span class="pre">BaseGridder.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">BaseGridder.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.get_params"><code class="docutils literal notranslate"><span class="pre">BaseGridder.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.grid"><code class="docutils literal notranslate"><span class="pre">BaseGridder.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.predict"><code class="docutils literal notranslate"><span class="pre">BaseGridder.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.profile"><code class="docutils literal notranslate"><span class="pre">BaseGridder.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.scatter"><code class="docutils literal notranslate"><span class="pre">BaseGridder.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.score"><code class="docutils literal notranslate"><span class="pre">BaseGridder.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.set_fit_request"><code class="docutils literal notranslate"><span class="pre">BaseGridder.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.set_params"><code class="docutils literal notranslate"><span class="pre">BaseGridder.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.set_predict_request"><code class="docutils literal notranslate"><span class="pre">BaseGridder.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.BaseGridder.set_score_request"><code class="docutils literal notranslate"><span class="pre">BaseGridder.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-base-basegridder">Examples using <code class="docutils literal notranslate"><span class="pre">verde.base.BaseGridder</span></code></a></li>
+</ul>
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diff --git a/dev/api/generated/verde.base.check_fit_input.html b/dev/api/generated/verde.base.check_fit_input.html
index aa5e458f6..bb04cc5bc 100644
--- a/dev/api/generated/verde.base.check_fit_input.html
+++ b/dev/api/generated/verde.base.check_fit_input.html
@@ -2,51 +2,61 @@
 
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-     Splitting data into train and test sets
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-     Polynomial trend
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-   <li class="toctree-l2">
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-     Trends in vector data
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-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
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   <section id="verde-base-check-fit-input">
-<h1>verde.base.check_fit_input<a class="headerlink" href="#verde-base-check-fit-input" title="Permalink to this headline">#</a></h1>
+<h1>verde.base.check_fit_input<a class="headerlink" href="#verde-base-check-fit-input" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.base.check_fit_input">
-<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">check_fit_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unpack</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/utils.html#check_fit_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.check_fit_input" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">check_fit_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unpack</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/utils.html#check_fit_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.check_fit_input" title="Link to this definition">#</a></dt>
 <dd><p>Validate the inputs to the fit method of gridders.</p>
 <p>Checks that the coordinates, data, and weights (if given) all have the same
 shape. Weights arrays are raveled.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. Data can have more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. Data can have more than one
 component. In such cases, data should be a tuple of arrays.</p></li>
 <li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em>) – If not None, then the weights assigned to each data point.
 Typically, this should be 1 over the data uncertainty squared.
 If the data has multiple components, the weights have the same number
 of components.</p></li>
-<li><p><strong>unpack</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If False, data and weights will be tuples always. If they are single
+<li><p><strong>unpack</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If False, data and weights will be tuples always. If they are single
 arrays, then they will be returned as a 1-element tuple. If True, will
 unpack the tuples if there is only 1 array in each.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>validated_inputs</em> – The validated inputs in the same order. If weights are given, will
 ravel the array before returning.</p>
 </dd>
@@ -830,49 +527,102 @@ <h1>verde.base.check_fit_input<a class="headerlink" href="#verde-base-check-fit-
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Using Weights
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-   Vector Data
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- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
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   <section id="verde-base-least-squares">
-<h1>verde.base.least_squares<a class="headerlink" href="#verde-base-least-squares" title="Permalink to this headline">#</a></h1>
+<h1>verde.base.least_squares<a class="headerlink" href="#verde-base-least-squares" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.base.least_squares">
-<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">least_squares</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">jacobian</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">copy_jacobian</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/least_squares.html#least_squares"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.least_squares" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">least_squares</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">jacobian</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">damping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">copy_jacobian</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/least_squares.html#least_squares"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.least_squares" title="Link to this definition">#</a></dt>
 <dd><p>Solve a weighted least-squares problem with optional damping regularization</p>
 <p>Scales the Jacobian matrix so that each column has unit variance. This
 helps keep the regularization parameter in a sensible range. The scaling is
@@ -814,7 +511,7 @@ <h1>verde.base.least_squares<a class="headerlink" href="#verde-base-least-square
 afterwards.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>jacobian</strong> (<em>2d-array</em>) – The Jacobian/sensitivity/feature matrix.</p></li>
 <li><p><strong>data</strong> (<em>1d-array</em>) – The data array. Must be a single 1D array. If fitting multiple data
@@ -822,13 +519,13 @@ <h1>verde.base.least_squares<a class="headerlink" href="#verde-base-least-square
 <li><p><strong>weights</strong> (<em>None</em><em> or </em><em>1d-array</em>) – The data weights. Like the data, this must also be a 1D array. Stack
 the weights in the same order as the data. Use <code class="docutils literal notranslate"><span class="pre">weights=None</span></code> to fit
 without weights.</p></li>
-<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The positive damping (Tikhonov 0th order) regularization parameter. If
+<li><p><strong>damping</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The positive damping (Tikhonov 0th order) regularization parameter. If
 <code class="docutils literal notranslate"><span class="pre">damping=None</span></code>, will use a regular least-squares fit.</p></li>
-<li><p><strong>copy_jacobian</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If False, the Jacobian matrix will be scaled inplace. If True, the
+<li><p><strong>copy_jacobian</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If False, the Jacobian matrix will be scaled inplace. If True, the
 Jacobian matrix will be copied before scaling. Default False.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>parameters</strong> (<em>1d-array</em>) – The estimated 1D array of parameters that fit the data.</p>
 </dd>
 </dl>
@@ -837,49 +534,102 @@ <h1>verde.base.least_squares<a class="headerlink" href="#verde-base-least-square
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   <section id="verde-base-n-1d-arrays">
-<h1>verde.base.n_1d_arrays<a class="headerlink" href="#verde-base-n-1d-arrays" title="Permalink to this headline">#</a></h1>
+<h1>verde.base.n_1d_arrays<a class="headerlink" href="#verde-base-n-1d-arrays" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.base.n_1d_arrays">
-<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">n_1d_arrays</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arrays</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/utils.html#n_1d_arrays"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.n_1d_arrays" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.base.</span></span><span class="sig-name descname"><span class="pre">n_1d_arrays</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arrays</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/base/utils.html#n_1d_arrays"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.base.n_1d_arrays" title="Link to this definition">#</a></dt>
 <dd><p>Get the first n elements from a tuple/list, convert to arrays, and ravel.</p>
 <p>Use this function to make sure that coordinate and data arrays are ready
 for building Jacobian matrices and least-squares fitting.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>arrays</strong> (<em>tuple of arrays</em>) – The arrays. Can be lists or anything that can be converted to a numpy
+<li><p><strong>arrays</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The arrays. Can be lists or anything that can be converted to a numpy
 array (including numpy arrays).</p></li>
-<li><p><strong>n</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – How many arrays to return.</p></li>
+<li><p><strong>n</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – How many arrays to return.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>1darrays</strong> (<em>tuple of arrays</em>) – The converted 1D numpy arrays.</p>
 </dd>
 </dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.base.n_1d_arrays"><code class="docutils literal notranslate"><span class="pre">n_1d_arrays</span></code></a></li>
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diff --git a/dev/api/generated/verde.block_split.html b/dev/api/generated/verde.block_split.html
index 87cfac00f..585fff868 100644
--- a/dev/api/generated/verde.block_split.html
+++ b/dev/api/generated/verde.block_split.html
@@ -2,51 +2,61 @@
 
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-<html>
+
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
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+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.block_split';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.rolling_window" href="verde.rolling_window.html" />
@@ -55,752 +65,439 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
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-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
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+    Back to top
+  </button>
 
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+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
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+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
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+         autocomplete="off"
+         autocorrect="off"
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+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
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-  Getting Started
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+      <div class="bd-sidebar-primary bd-sidebar">
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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- <li class="toctree-l1">
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
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-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
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+    <h1>verde.block_split</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.block_split"><code class="docutils literal notranslate"><span class="pre">block_split</span></code></a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
                 
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+                  
   <section id="verde-block-split">
-<h1>verde.block_split<a class="headerlink" href="#verde-block-split" title="Permalink to this headline">#</a></h1>
+<h1>verde.block_split<a class="headerlink" href="#verde-block-split" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.block_split">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">block_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#block_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.block_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">block_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#block_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.block_split" title="Link to this definition">#</a></dt>
 <dd><p>Split a region into blocks and label points according to where they fall.</p>
 <p>The labels are integers corresponding to the index of the block. Also
 returns the coordinates of the center of each block (following the same
@@ -811,17 +508,17 @@ <h1>verde.block_split<a class="headerlink" href="#verde-block-split" title="Perm
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>If installed, package <code class="docutils literal notranslate"><span class="pre">pykdtree</span></code> will be used instead of
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
 respectively.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The block size in the South-North and West-East directions,
 respectively. A single value means that the size is equal in both
 directions.</p></li>
 <li><p><strong>adjust</strong> (<em>{'spacing'</em><em>, </em><em>'region'}</em>) – Whether to adjust the spacing or the region if required. Ignored if
@@ -832,7 +529,7 @@ <h1>verde.block_split<a class="headerlink" href="#verde-block-split" title="Perm
 the given points.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><ul class="simple">
 <li><p><strong>block_coordinates</strong> (<em>tuple of arrays</em>) – (easting, northing) arrays with the coordinates of the center of each
 block.</p></li>
@@ -888,49 +585,102 @@ <h1>verde.block_split<a class="headerlink" href="#verde-block-split" title="Perm
 <div style='clear:both'></div></section>
 
 
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diff --git a/dev/api/generated/verde.convexhull_mask.html b/dev/api/generated/verde.convexhull_mask.html
index b1cc8fd20..4dc9898de 100644
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+  
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+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Geographic Coordinates
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- <li class="toctree-l1">
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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   <section id="verde-convexhull-mask">
-<h1>verde.convexhull_mask<a class="headerlink" href="#verde-convexhull-mask" title="Permalink to this headline">#</a></h1>
+<h1>verde.convexhull_mask<a class="headerlink" href="#verde-convexhull-mask" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.convexhull_mask">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">convexhull_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/mask.html#convexhull_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.convexhull_mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">convexhull_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/mask.html#convexhull_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.convexhull_mask" title="Link to this definition">#</a></dt>
 <dd><p>Mask grid points that are outside the convex hull of the given data points.</p>
 <p>Either <em>coordinates</em> or <em>grid</em> must be given:</p>
 <ul class="simple">
 <li><p>If <em>coordinates</em> is not None, produces an array that is False when a
 point is outside the convex hull and True otherwise.</p></li>
 <li><p>If <em>grid</em> is not None, produces a mask and applies it to <em>grid</em> (an
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>).</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>).</p></li>
 </ul>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data_coordinates</strong> (<em>tuple of arrays</em>) – Same as <em>coordinates</em> but for the data points.</p></li>
-<li><p><strong>coordinates</strong> (<em>None</em><em> or </em><em>tuple of arrays</em>) – Arrays with the coordinates of each point that will be masked. Should
+<li><p><strong>data_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Same as <em>coordinates</em> but for the data points.</p></li>
+<li><p><strong>coordinates</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each point that will be masked. Should
 be in the following order: (easting, northing, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
-<li><p><strong>grid</strong> (None or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – 2D grid with values to be masked. Will use the first two dimensions of
+<li><p><strong>grid</strong> (None or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – 2D grid with values to be masked. Will use the first two dimensions of
 the grid as northing and easting coordinates, respectively. For this to
 work, the grid dimensions <strong>must be ordered as northing then easting</strong>.
 The mask will be applied to <em>grid</em> using the
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.where.html#xarray.Dataset.where" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">xarray.Dataset.where</span></code></a> method.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.where.html#xarray.Dataset.where" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">xarray.Dataset.where</span></code></a> method.</p></li>
 <li><p><strong>projection</strong> (<em>callable</em><em> or </em><em>None</em>) – If not None, then should be a callable object <code class="docutils literal notranslate"><span class="pre">projection(easting,</span>
 <span class="pre">northing)</span> <span class="pre">-&gt;</span> <span class="pre">(proj_easting,</span> <span class="pre">proj_northing)</span></code> that takes in easting and
 northing coordinate arrays and returns projected easting and northing
@@ -876,10 +527,10 @@ <h1>verde.convexhull_mask<a class="headerlink" href="#verde-convexhull-mask" tit
 distances.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>mask</strong> (array or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – If <em>coordinates</em> was given, then a boolean array with the same shape as
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (array or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – If <em>coordinates</em> was given, then a boolean array with the same shape as
 the elements of <em>coordinates</em>. If <em>grid</em> was given, then an
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> with the mask applied to it.</p>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> with the mask applied to it.</p>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
@@ -916,84 +567,123 @@ <h1>verde.convexhull_mask<a class="headerlink" href="#verde-convexhull-mask" tit
 </dd></dl>
 
 <section id="examples-using-verde-convexhull-mask">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.convexhull_mask</span></code><a class="headerlink" href="#examples-using-verde-convexhull-mask" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id1">
-<img alt="Mask grid points by convex hull" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id2">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id4">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id5">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.convexhull_mask</span></code><a class="headerlink" href="#examples-using-verde-convexhull-mask" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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diff --git a/dev/api/generated/verde.cross_val_score.html b/dev/api/generated/verde.cross_val_score.html
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Using Weights
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.cross_val_score"><code class="docutils literal notranslate"><span class="pre">cross_val_score</span></code></a></li>
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   <section id="verde-cross-val-score">
-<h1>verde.cross_val_score<a class="headerlink" href="#verde-cross-val-score" title="Permalink to this headline">#</a></h1>
+<h1>verde.cross_val_score<a class="headerlink" href="#verde-cross-val-score" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.cross_val_score">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">cross_val_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delayed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scoring</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#cross_val_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.cross_val_score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">cross_val_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">estimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delayed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scoring</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#cross_val_score"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.cross_val_score" title="Link to this definition">#</a></dt>
 <dd><p>Score an estimator/gridder using cross-validation.</p>
-<p>Similar to <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> but modified to
+<p>Similar to <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> but modified to
 accept spatial multi-component data with weights.</p>
-<p>By default, will use <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> with
+<p>By default, will use <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> with
 <code class="docutils literal notranslate"><span class="pre">n_splits=5</span></code> and <code class="docutils literal notranslate"><span class="pre">random_state=0</span></code> to split the dataset. Any other
 cross-validation class from scikit-learn or Verde can be passed in through
 the <em>cv</em> argument.</p>
@@ -870,33 +521,33 @@ <h1>verde.cross_val_score<a class="headerlink" href="#verde-cross-val-score" tit
 v2.0.0. Use <code class="docutils literal notranslate"><span class="pre">delayed</span></code> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>estimator</strong> (<em>verde gridder</em>) – Any verde gridder class that has the <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">score</span></code> methods.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – the data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – the data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each component).</p></li>
-<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – if not none, then the weights assigned to each data point. If more than
+<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – if not none, then the weights assigned to each data point. If more than
 one data component is provided, you must provide a weights array for
 each data component (if not none).</p></li>
 <li><p><strong>cv</strong> (<em>None</em><em> or </em><em>cross-validation generator</em>) – Any scikit-learn or Verde cross-validation generator. Defaults to
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a>.</p></li>
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a>.</p></li>
 <li><p><strong>client</strong> (<em>None</em><em> or </em><em>dask.distributed.Client</em>) – <strong>DEPRECATED:</strong> This option is deprecated and will be removed in Verde
 v2.0.0. If None, then computations are run serially. Otherwise, should
 be a dask <code class="docutils literal notranslate"><span class="pre">Client</span></code> object. It will be used to dispatch computations
 to the dask cluster.</p></li>
-<li><p><strong>delayed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, will use <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> to dispatch computations without
+<li><p><strong>delayed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, will use <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> to dispatch computations without
 actually executing them. The returned scores will be a list of delayed
 objects. Call <cite>.compute()</cite> on each score or <a class="reference external" href="https://docs.dask.org/en/latest/api.html#dask.compute" title="(in Dask)"><code class="xref py py-func docutils literal notranslate"><span class="pre">dask.compute</span></code></a> on the
 entire list to trigger the actual computations.</p></li>
-<li><p><strong>scoring</strong> (<em>None</em><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, or </em><em>callable</em>) – A scoring function (or name of a function) known to scikit-learn. See
+<li><p><strong>scoring</strong> (<em>None</em><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, or </em><em>callable</em>) – A scoring function (or name of a function) known to scikit-learn. See
 the description of <em>scoring</em> in
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> for details. If None,
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.cross_val_score</span></code></a> for details. If None,
 will fall back to the estimator’s <code class="docutils literal notranslate"><span class="pre">.score</span></code> method.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>scores</strong> (<em>array</em>) – Array of scores for each split of the cross-validation generator. If
 <em>delayed</em>, will be a list of Dask delayed objects (see the <em>delayed</em>
 option). If <em>client</em> is not None, then the scores will be futures.</p>
@@ -928,7 +579,7 @@ <h1>verde.cross_val_score<a class="headerlink" href="#verde-cross-val-score" tit
 </pre></div>
 </div>
 <p>There are 5 scores because the default cross-validator is
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> with <code class="docutils literal notranslate"><span class="pre">n_splits=5</span></code>.</p>
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html#sklearn.model_selection.KFold" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.KFold</span></code></a> with <code class="docutils literal notranslate"><span class="pre">n_splits=5</span></code>.</p>
 <p>To calculate the score with a different metric, use the <em>scoring</em> argument:</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">scores</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
 <span class="gp">... </span>    <span class="n">model</span><span class="p">,</span> <span class="n">coords</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_mean_squared_error&quot;</span><span class="p">,</span>
@@ -990,72 +641,117 @@ <h1>verde.cross_val_score<a class="headerlink" href="#verde-cross-val-score" tit
 </dd></dl>
 
 <section id="examples-using-verde-cross-val-score">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code><a class="headerlink" href="#examples-using-verde-cross-val-score" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id2">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id3">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id4">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code><a class="headerlink" href="#examples-using-verde-cross-val-score" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
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-    </span>
-   </code>
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   <section id="verde-datasets-fetch-baja-bathymetry">
-<h1>verde.datasets.fetch_baja_bathymetry<a class="headerlink" href="#verde-datasets-fetch-baja-bathymetry" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.fetch_baja_bathymetry<a class="headerlink" href="#verde-datasets-fetch-baja-bathymetry" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.fetch_baja_bathymetry">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_baja_bathymetry</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_baja_bathymetry"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_baja_bathymetry" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_baja_bathymetry</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_baja_bathymetry"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_baja_bathymetry" title="Link to this definition">#</a></dt>
 <dd><p>Fetch sample bathymetry data from Baja California.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -860,8 +511,8 @@ <h1>verde.datasets.fetch_baja_bathymetry<a class="headerlink" href="#verde-datas
 <p>If the file isn’t already in your data directory, it will be downloaded
 automatically.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The bathymetry data. Columns are longitude, latitude, and bathymetry
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The bathymetry data. Columns are longitude, latitude, and bathymetry
 (in meters) for each data point.</p>
 </dd>
 </dl>
@@ -875,120 +526,141 @@ <h1>verde.datasets.fetch_baja_bathymetry<a class="headerlink" href="#verde-datas
 </dd></dl>
 
 <section id="examples-using-verde-datasets-fetch-baja-bathymetry">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_baja_bathymetry</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-baja-bathymetry" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><figure class="align-default" id="id1">
-<img alt="K-Fold cross-validation with blocks" src="../../_images/sphx_glr_blockkfold_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><figure class="align-default" id="id2">
-<img alt="Blocked reduction operations" src="../../_images/sphx_glr_blockreduce_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id3">
-<img alt="Mask grid points by convex hull" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id4">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id5">
-<img alt="Mask grid points by distance" src="../../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id6">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id7">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><figure class="align-default" id="id8">
-<img alt="Splitting data into train and test sets" src="../../_images/sphx_glr_train_test_split_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id9">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><figure class="align-default" id="id10">
-<img alt="Data Decimation" src="../../_images/sphx_glr_decimation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id11">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_baja_bathymetry</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-baja-bathymetry" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><img alt="" src="../../_images/sphx_glr_blockkfold_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></p>
+  <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><img alt="" src="../../_images/sphx_glr_blockreduce_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Blocked reduction operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><img alt="" src="../../_images/sphx_glr_train_test_split_thumb.png" />
+<p><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Splitting data into train and test sets</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><img alt="" src="../../_images/sphx_glr_decimation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Data Decimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div></div><div style='clear:both'></div></section>
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   <section id="verde-datasets-fetch-california-gps">
-<h1>verde.datasets.fetch_california_gps<a class="headerlink" href="#verde-datasets-fetch-california-gps" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.fetch_california_gps<a class="headerlink" href="#verde-datasets-fetch-california-gps" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.fetch_california_gps">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_california_gps</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_california_gps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_california_gps" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_california_gps</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_california_gps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_california_gps" title="Link to this definition">#</a></dt>
 <dd><p>Fetch sample GPS velocity data from California (the U.S. West coast).</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -867,8 +518,8 @@ <h1>verde.datasets.fetch_california_gps<a class="headerlink" href="#verde-datase
 <p>If the file isn’t already in your data directory, it will be downloaded
 automatically.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The GPS velocity data. Columns are longitude, latitude, height
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The GPS velocity data. Columns are longitude, latitude, height
 (geometric, in meters), East velocity (meter/year), North velocity
 (meter/year), upward velocity (meter/year), standard deviation of East
 velocity (meter/year), standard deviation of North velocity
@@ -885,90 +536,126 @@ <h1>verde.datasets.fetch_california_gps<a class="headerlink" href="#verde-datase
 </dd></dl>
 
 <section id="examples-using-verde-datasets-fetch-california-gps">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_california_gps</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-california-gps" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id1">
-<img alt="Using weights in blocked reduction" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><figure class="align-default" id="id2">
-<img alt="Using weights in blocked means" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id4">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id5">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id6">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_california_gps</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-california-gps" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
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-     Using weights in blocked reduction
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-     Using weights in blocked means
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-     Checkerboard function
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-     Gridding 2D vectors
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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-<h1>verde.datasets.fetch_rio_magnetic<a class="headerlink" href="#verde-datasets-fetch-rio-magnetic" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.fetch_rio_magnetic<a class="headerlink" href="#verde-datasets-fetch-rio-magnetic" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.fetch_rio_magnetic">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_rio_magnetic</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_rio_magnetic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_rio_magnetic" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_rio_magnetic</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_rio_magnetic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_rio_magnetic" title="Link to this definition">#</a></dt>
 <dd><p>Fetch total-field magnetic anomaly data from Rio de Janeiro, Brazil.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -815,13 +512,6 @@ <h1>verde.datasets.fetch_rio_magnetic<a class="headerlink" href="#verde-datasets
 <p>The anomaly is calculated with respect to the IGRF field parameters listed
 on the table below. See the original data for more processing information.</p>
 <table class="table">
-<colgroup>
-<col style="width: 16%" />
-<col style="width: 17%" />
-<col style="width: 25%" />
-<col style="width: 21%" />
-<col style="width: 21%" />
-</colgroup>
 <thead>
 <tr class="row-odd"><th class="head" colspan="5"><p>IGRF for year 1978.3 at 500 m height</p></th>
 </tr>
@@ -844,8 +534,8 @@ <h1>verde.datasets.fetch_rio_magnetic<a class="headerlink" href="#verde-datasets
 <p>If the file isn’t already in your data directory, it will be downloaded
 automatically.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The magnetic anomaly data. Columns are longitude, latitude, total-field
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – The magnetic anomaly data. Columns are longitude, latitude, total-field
 magnetic anomaly (nanoTesla), observation height above the WGS84
 ellipsoid (in meters), flight line type (LINE or TIE), and flight line
 number for each data point.</p>
@@ -863,49 +553,102 @@ <h1>verde.datasets.fetch_rio_magnetic<a class="headerlink" href="#verde-datasets
 <div style='clear:both'></div></section>
 
 
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diff --git a/dev/api/generated/verde.datasets.fetch_texas_wind.html b/dev/api/generated/verde.datasets.fetch_texas_wind.html
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-    </span>
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+    <h1>verde.datasets.fetch_texas_wind</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.datasets.fetch_texas_wind"><code class="docutils literal notranslate"><span class="pre">fetch_texas_wind</span></code></a></li>
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   <section id="verde-datasets-fetch-texas-wind">
-<h1>verde.datasets.fetch_texas_wind<a class="headerlink" href="#verde-datasets-fetch-texas-wind" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.fetch_texas_wind<a class="headerlink" href="#verde-datasets-fetch-texas-wind" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.fetch_texas_wind">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_texas_wind</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_texas_wind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_texas_wind" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">fetch_texas_wind</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#fetch_texas_wind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.fetch_texas_wind" title="Link to this definition">#</a></dt>
 <dd><p>Fetch sample wind speed and air temperature data for Texas, USA.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -861,8 +512,8 @@ <h1>verde.datasets.fetch_texas_wind<a class="headerlink" href="#verde-datasets-f
 <p>If the file isn’t already in your data directory, it will be downloaded
 automatically.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – Columns are the station ID, longitude, latitude, air temperature in C,
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – Columns are the station ID, longitude, latitude, air temperature in C,
 east component of wind speed in knots, and north component of wind
 speed in knots.</p>
 </dd>
@@ -877,96 +528,129 @@ <h1>verde.datasets.fetch_texas_wind<a class="headerlink" href="#verde-datasets-f
 </dd></dl>
 
 <section id="examples-using-verde-datasets-fetch-texas-wind">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_texas_wind</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-texas-wind" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id1">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id2">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id3">
-<img alt="Polynomial trend" src="../../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id4">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id5">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id6">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id7">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.fetch_texas_wind</span></code><a class="headerlink" href="#examples-using-verde-datasets-fetch-texas-wind" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+  </div>
   
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+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
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\ No newline at end of file
diff --git a/dev/api/generated/verde.datasets.locate.html b/dev/api/generated/verde.datasets.locate.html
index fc842ff7b..ca4c75e09 100644
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+++ b/dev/api/generated/verde.datasets.locate.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
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+
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
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-  <link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../_static/custom.css?v=44687e0a" />
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-    <script src="../../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.datasets.locate';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
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     <link rel="next" title="verde.datasets.fetch_baja_bathymetry" href="verde.datasets.fetch_baja_bathymetry.html" />
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
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+  
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
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+          name="__primary"
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+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
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+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
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+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
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+  
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+  
 
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-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
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-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
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-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
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+  <div class="sidebar-header-items sidebar-primary__section">
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/overview.html">
-   Overview
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../install.html">
-   Installing
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- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../gallery/index.html">
-   Gallery
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-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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- <li class="toctree-l1 current active has-children">
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+      
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-
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-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>verde.datasets.locate</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>verde.datasets.locate</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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-            <main id="main-content" role="main">
-                
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.datasets.locate"><code class="docutils literal notranslate"><span class="pre">locate</span></code></a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-datasets-locate">
-<h1>verde.datasets.locate<a class="headerlink" href="#verde-datasets-locate" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.locate<a class="headerlink" href="#verde-datasets-locate" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.locate">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">locate</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#locate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.locate" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">locate</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#locate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.locate" title="Link to this definition">#</a></dt>
 <dd><p>The absolute path to the sample data storage location on disk.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -815,7 +512,7 @@ <h1>verde.datasets.locate<a class="headerlink" href="#verde-datasets-locate" tit
 <p>The location can be overwritten by the <code class="docutils literal notranslate"><span class="pre">VERDE_DATA_DIR</span></code> environment
 variable to the desired destination.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Returns</dt>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>path</strong> (<em>str</em>) – The local data storage location.</p>
 </dd>
 </dl>
@@ -824,49 +521,102 @@ <h1>verde.datasets.locate<a class="headerlink" href="#verde-datasets-locate" tit
 <div style='clear:both'></div></section>
 
 
-              </div>
+                </article>
               
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+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">verde.ScipyGridder</p>
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-    <a class='right-next' id="next-link" href="verde.datasets.fetch_baja_bathymetry.html" title="next page">
-    <div class="prev-next-info">
+    <a class="right-next"
+       href="verde.datasets.fetch_baja_bathymetry.html"
+       title="next page">
+      <div class="prev-next-info">
         <p class="prev-next-subtitle">next</p>
         <p class="prev-next-title">verde.datasets.fetch_baja_bathymetry</p>
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+      </div>
+      <i class="fa-solid fa-angle-right"></i>
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-    <div class="footer-content row">
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+                <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
+
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.datasets.locate"><code class="docutils literal notranslate"><span class="pre">locate</span></code></a></li>
+</ul>
+  </nav></div>
+
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+              
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+    
+
+  <p class="copyright">
+    
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+    <p class="last-updated">
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\ No newline at end of file
diff --git a/dev/api/generated/verde.datasets.setup_baja_bathymetry_map.html b/dev/api/generated/verde.datasets.setup_baja_bathymetry_map.html
index bb0f58f37..0a1d3c408 100644
--- a/dev/api/generated/verde.datasets.setup_baja_bathymetry_map.html
+++ b/dev/api/generated/verde.datasets.setup_baja_bathymetry_map.html
@@ -2,51 +2,61 @@
 
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.datasets.setup_baja_bathymetry_map | Verde dev</title>
     
 
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+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.datasets.setup_baja_bathymetry_map';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.datasets.fetch_california_gps" href="verde.datasets.fetch_california_gps.html" />
@@ -55,799 +65,440 @@
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+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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+  </button>
 
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+          class="sidebar-toggle"
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 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.setup_baja_bathymetry_map">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_baja_bathymetry_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(245.0,</span> <span class="pre">254.705,</span> <span class="pre">20.0,</span> <span class="pre">29.99)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_baja_bathymetry_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_baja_bathymetry_map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_baja_bathymetry_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(245.0,</span> <span class="pre">254.705,</span> <span class="pre">20.0,</span> <span class="pre">29.99)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_baja_bathymetry_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_baja_bathymetry_map" title="Link to this definition">#</a></dt>
 <dd><p>Setup a Cartopy map for the Baja California bathymetry dataset.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -857,11 +508,11 @@ <h1>verde.datasets.setup_baja_bathymetry_map<a class="headerlink" href="#verde-d
 <a class="reference external" href="https://www.fatiando.org/ensaio/">Ensaio</a> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>ax</strong> (<em>matplotlib Axes</em>) – The axes where the map is being plotted.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of the map region in the coordinate system of the data.</p></li>
-<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
+<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
 <li><p><strong>kwargs</strong> – All additional key-word arguments will be ignored. <code class="docutils literal notranslate"><span class="pre">kwargs</span></code> are
 accepted to guarantee backward compatibility.</p></li>
 </ul>
@@ -877,114 +528,138 @@ <h1>verde.datasets.setup_baja_bathymetry_map<a class="headerlink" href="#verde-d
 </dd></dl>
 
 <section id="examples-using-verde-datasets-setup-baja-bathymetry-map">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_baja_bathymetry_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-baja-bathymetry-map" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><figure class="align-default" id="id1">
-<img alt="K-Fold cross-validation with blocks" src="../../_images/sphx_glr_blockkfold_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><figure class="align-default" id="id2">
-<img alt="Blocked reduction operations" src="../../_images/sphx_glr_blockreduce_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id3">
-<img alt="Mask grid points by convex hull" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id4">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id5">
-<img alt="Mask grid points by distance" src="../../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id6">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id7">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><figure class="align-default" id="id8">
-<img alt="Splitting data into train and test sets" src="../../_images/sphx_glr_train_test_split_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><figure class="align-default" id="id9">
-<img alt="Data Decimation" src="../../_images/sphx_glr_decimation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id10">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_baja_bathymetry_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-baja-bathymetry-map" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><img alt="" src="../../_images/sphx_glr_blockkfold_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></p>
+  <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><img alt="" src="../../_images/sphx_glr_blockreduce_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Blocked reduction operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><img alt="" src="../../_images/sphx_glr_train_test_split_thumb.png" />
+<p><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Splitting data into train and test sets</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><img alt="" src="../../_images/sphx_glr_decimation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Data Decimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-datasets-setup-baja-bathymetry-map">Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_baja_bathymetry_map</span></code></a></li>
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diff --git a/dev/api/generated/verde.datasets.setup_california_gps_map.html b/dev/api/generated/verde.datasets.setup_california_gps_map.html
index 8b6316503..18f0f86b3 100644
--- a/dev/api/generated/verde.datasets.setup_california_gps_map.html
+++ b/dev/api/generated/verde.datasets.setup_california_gps_map.html
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
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-  <a class="reference internal nav-link" href="#examples-using-verde-datasets-setup-california-gps-map">
-   Examples using
-   <code class="docutils literal notranslate">
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-     verde.datasets.setup_california_gps_map
-    </span>
-   </code>
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   <section id="verde-datasets-setup-california-gps-map">
-<h1>verde.datasets.setup_california_gps_map<a class="headerlink" href="#verde-datasets-setup-california-gps-map" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.setup_california_gps_map<a class="headerlink" href="#verde-datasets-setup-california-gps-map" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.setup_california_gps_map">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_california_gps_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(235.2,</span> <span class="pre">245.3,</span> <span class="pre">31.9,</span> <span class="pre">42.3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_california_gps_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_california_gps_map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_california_gps_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(235.2,</span> <span class="pre">245.3,</span> <span class="pre">31.9,</span> <span class="pre">42.3)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_california_gps_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_california_gps_map" title="Link to this definition">#</a></dt>
 <dd><p>Setup a Cartopy map for the California GPS velocity dataset.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -857,11 +508,11 @@ <h1>verde.datasets.setup_california_gps_map<a class="headerlink" href="#verde-da
 <a class="reference external" href="https://www.fatiando.org/ensaio/">Ensaio</a> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>ax</strong> (<em>matplotlib Axes</em>) – The axes where the map is being plotted.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of the map region in the coordinate system of the data.</p></li>
-<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
+<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
 <li><p><strong>kwargs</strong> – All additional key-word arguments will be ignored. <code class="docutils literal notranslate"><span class="pre">kwargs</span></code> are
 accepted to guarantee backward compatibility.</p></li>
 </ul>
@@ -877,90 +528,126 @@ <h1>verde.datasets.setup_california_gps_map<a class="headerlink" href="#verde-da
 </dd></dl>
 
 <section id="examples-using-verde-datasets-setup-california-gps-map">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_california_gps_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-california-gps-map" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id1">
-<img alt="Using weights in blocked reduction" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><figure class="align-default" id="id2">
-<img alt="Using weights in blocked means" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id4">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id5">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id6">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_california_gps_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-california-gps-map" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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diff --git a/dev/api/generated/verde.datasets.setup_rio_magnetic_map.html b/dev/api/generated/verde.datasets.setup_rio_magnetic_map.html
index a3464b3a7..b09529ae9 100644
--- a/dev/api/generated/verde.datasets.setup_rio_magnetic_map.html
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
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   <section id="verde-datasets-setup-rio-magnetic-map">
-<h1>verde.datasets.setup_rio_magnetic_map<a class="headerlink" href="#verde-datasets-setup-rio-magnetic-map" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.setup_rio_magnetic_map<a class="headerlink" href="#verde-datasets-setup-rio-magnetic-map" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.setup_rio_magnetic_map">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_rio_magnetic_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(-</span> <span class="pre">42.6,</span> <span class="pre">-</span> <span class="pre">42,</span> <span class="pre">-</span> <span class="pre">22.5,</span> <span class="pre">-</span> <span class="pre">22)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_rio_magnetic_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_rio_magnetic_map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_rio_magnetic_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(-42.6,</span> <span class="pre">-42,</span> <span class="pre">-22.5,</span> <span class="pre">-22)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_rio_magnetic_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_rio_magnetic_map" title="Link to this definition">#</a></dt>
 <dd><p>Setup a Cartopy map for the Rio de Janeiro magnetic anomaly dataset.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -810,7 +507,7 @@ <h1>verde.datasets.setup_rio_magnetic_map<a class="headerlink" href="#verde-data
 <a class="reference external" href="https://www.fatiando.org/ensaio/">Ensaio</a> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>ax</strong> (<em>matplotlib Axes</em>) – The axes where the map is being plotted.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of the map region in the coordinate system of the data.</p></li>
@@ -829,49 +526,102 @@ <h1>verde.datasets.setup_rio_magnetic_map<a class="headerlink" href="#verde-data
 <div style='clear:both'></div></section>
 
 
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diff --git a/dev/api/generated/verde.datasets.setup_texas_wind_map.html b/dev/api/generated/verde.datasets.setup_texas_wind_map.html
index 2c44adef5..bdb039bef 100644
--- a/dev/api/generated/verde.datasets.setup_texas_wind_map.html
+++ b/dev/api/generated/verde.datasets.setup_texas_wind_map.html
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   <section id="verde-datasets-setup-texas-wind-map">
-<h1>verde.datasets.setup_texas_wind_map<a class="headerlink" href="#verde-datasets-setup-texas-wind-map" title="Permalink to this headline">#</a></h1>
+<h1>verde.datasets.setup_texas_wind_map<a class="headerlink" href="#verde-datasets-setup-texas-wind-map" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.datasets.setup_texas_wind_map">
-<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_texas_wind_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(-</span> <span class="pre">107,</span> <span class="pre">-</span> <span class="pre">93,</span> <span class="pre">25.5,</span> <span class="pre">37)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_texas_wind_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_texas_wind_map" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.datasets.</span></span><span class="sig-name descname"><span class="pre">setup_texas_wind_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(-107,</span> <span class="pre">-93,</span> <span class="pre">25.5,</span> <span class="pre">37)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coastlines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/datasets/sample_data.html#setup_texas_wind_map"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.datasets.setup_texas_wind_map" title="Link to this definition">#</a></dt>
 <dd><p>Setup a Cartopy map for the Texas wind speed and air temperature dataset.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -857,11 +508,11 @@ <h1>verde.datasets.setup_texas_wind_map<a class="headerlink" href="#verde-datase
 <a class="reference external" href="https://www.fatiando.org/ensaio/">Ensaio</a> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>ax</strong> (<em>matplotlib Axes</em>) – The axes where the map is being plotted.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of the map region in the coordinate system of the data.</p></li>
-<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
+<li><p><strong>coastlines</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True the coastlines will be added to the plot.</p></li>
 <li><p><strong>kwargs</strong> – All additional key-word arguments will be ignored. <code class="docutils literal notranslate"><span class="pre">kwargs</span></code> are
 accepted to guarantee backward compatibility.</p></li>
 </ul>
@@ -877,96 +528,129 @@ <h1>verde.datasets.setup_texas_wind_map<a class="headerlink" href="#verde-datase
 </dd></dl>
 
 <section id="examples-using-verde-datasets-setup-texas-wind-map">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_texas_wind_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-texas-wind-map" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id1">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id2">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id3">
-<img alt="Polynomial trend" src="../../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id4">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id5">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id6">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id7">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_texas_wind_map</span></code><a class="headerlink" href="#examples-using-verde-datasets-setup-texas-wind-map" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-datasets-setup-texas-wind-map">Examples using <code class="docutils literal notranslate"><span class="pre">verde.datasets.setup_texas_wind_map</span></code></a></li>
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-<h1>verde.distance_mask<a class="headerlink" href="#verde-distance-mask" title="Permalink to this headline">#</a></h1>
+<h1>verde.distance_mask<a class="headerlink" href="#verde-distance-mask" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.distance_mask">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">distance_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxdist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/mask.html#distance_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.distance_mask" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">distance_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxdist</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/mask.html#distance_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.distance_mask" title="Link to this definition">#</a></dt>
 <dd><p>Mask grid points that are too far from the given data points.</p>
 <p>Distances are Euclidean norms. If using geographic data, provide a
 projection function to convert coordinates to Cartesian before distance
@@ -858,26 +509,26 @@ <h1>verde.distance_mask<a class="headerlink" href="#verde-distance-mask" title="
 point is more than <em>maxdist</em> from the closest data point and True
 otherwise.</p></li>
 <li><p>If <em>grid</em> is not None, produces a mask and applies it to <em>grid</em> (an
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>).</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>).</p></li>
 </ul>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>If installed, package <code class="docutils literal notranslate"><span class="pre">pykdtree</span></code> will be used instead of
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data_coordinates</strong> (<em>tuple of arrays</em>) – Same as <em>coordinates</em> but for the data points.</p></li>
-<li><p><strong>maxdist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The maximum distance that a point can be from the closest data point.</p></li>
-<li><p><strong>coordinates</strong> (<em>None</em><em> or </em><em>tuple of arrays</em>) – Arrays with the coordinates of each point that will be masked. Should
+<li><p><strong>data_coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Same as <em>coordinates</em> but for the data points.</p></li>
+<li><p><strong>maxdist</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The maximum distance that a point can be from the closest data point.</p></li>
+<li><p><strong>coordinates</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each point that will be masked. Should
 be in the following order: (easting, northing, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
-<li><p><strong>grid</strong> (None or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – 2D grid with values to be masked. Will use the first two dimensions of
+<li><p><strong>grid</strong> (None or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – 2D grid with values to be masked. Will use the first two dimensions of
 the grid as northing and easting coordinates, respectively. For this to
 work, the grid dimensions <strong>must be ordered as northing then easting</strong>.
 The mask will be applied to <em>grid</em> using the
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.where.html#xarray.Dataset.where" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">xarray.Dataset.where</span></code></a> method.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.where.html#xarray.Dataset.where" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">xarray.Dataset.where</span></code></a> method.</p></li>
 <li><p><strong>projection</strong> (<em>callable</em><em> or </em><em>None</em>) – If not None, then should be a callable object <code class="docutils literal notranslate"><span class="pre">projection(easting,</span>
 <span class="pre">northing)</span> <span class="pre">-&gt;</span> <span class="pre">(proj_easting,</span> <span class="pre">proj_northing)</span></code> that takes in easting and
 northing coordinate arrays and returns projected easting and northing
@@ -886,10 +537,10 @@ <h1>verde.distance_mask<a class="headerlink" href="#verde-distance-mask" title="
 distances.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>mask</strong> (array or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – If <em>coordinates</em> was given, then a boolean array with the same shape as
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (array or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – If <em>coordinates</em> was given, then a boolean array with the same shape as
 the elements of <em>coordinates</em>. If <em>grid</em> was given, then an
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> with the mask applied to it.</p>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> with the mask applied to it.</p>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
@@ -925,102 +576,132 @@ <h1>verde.distance_mask<a class="headerlink" href="#verde-distance-mask" title="
 </dd></dl>
 
 <section id="examples-using-verde-distance-mask">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.distance_mask</span></code><a class="headerlink" href="#examples-using-verde-distance-mask" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id1">
-<img alt="Mask grid points by distance" src="../../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id2">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id3">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id4">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id5">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id6">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id7">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id8">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.distance_mask</span></code><a class="headerlink" href="#examples-using-verde-distance-mask" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-distance-mask">Examples using <code class="docutils literal notranslate"><span class="pre">verde.distance_mask</span></code></a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>verde.expanding_window</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>verde.expanding_window</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
             </div>
-            <main id="main-content" role="main">
-                
-              <div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.expanding_window"><code class="docutils literal notranslate"><span class="pre">expanding_window</span></code></a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-expanding-window">
-<h1>verde.expanding_window<a class="headerlink" href="#verde-expanding-window" title="Permalink to this headline">#</a></h1>
+<h1>verde.expanding_window<a class="headerlink" href="#verde-expanding-window" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.expanding_window">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">expanding_window</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#expanding_window"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.expanding_window" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">expanding_window</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sizes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#expanding_window"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.expanding_window" title="Link to this definition">#</a></dt>
 <dd><p>Select points on windows of changing size around a center point.</p>
 <p>Returns the indices of points falling inside each window.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
-<li><p><strong>center</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The coordinates of the center of the window. Should be in the
+<li><p><strong>center</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The coordinates of the center of the window. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
 <li><p><strong>sizes</strong> (<em>array</em>) – The sizes of the windows. Does not have to be in any particular order.
 The order of indices returned will match the order of window sizes
 given. Units should match the units of <em>coordinates</em> and <em>center</em>.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>indices</strong> (<em>list</em>) – Each element of the list corresponds to  the indices of points falling
 inside a window. Use them to index the coordinates for each window. The
 indices will depend on the number of dimensions in the input
@@ -940,49 +637,102 @@ <h1>verde.expanding_window<a class="headerlink" href="#verde-expanding-window" t
 <div style='clear:both'></div></section>
 
 
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+                </article>
               
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diff --git a/dev/api/generated/verde.get_region.html b/dev/api/generated/verde.get_region.html
index b22c07fe2..d5020e2d3 100644
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@@ -2,51 +2,61 @@
 
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+
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.get_region';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.pad_region" href="verde.pad_region.html" />
@@ -55,807 +65,448 @@
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   <section id="verde-get-region">
-<h1>verde.get_region<a class="headerlink" href="#verde-get-region" title="Permalink to this headline">#</a></h1>
+<h1>verde.get_region<a class="headerlink" href="#verde-get-region" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.get_region">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">get_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#get_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.get_region" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">get_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#get_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.get_region" title="Link to this definition">#</a></dt>
 <dd><p>Get the bounding region of the given coordinates.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>region</strong> (<em>tuple = (W, E, S, N)</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p>
 </dd>
@@ -869,156 +520,159 @@ <h1>verde.get_region<a class="headerlink" href="#verde-get-region" title="Permal
 </dd></dl>
 
 <section id="examples-using-verde-get-region">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.get_region</span></code><a class="headerlink" href="#examples-using-verde-get-region" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id1">
-<img alt="Mask grid points by convex hull" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id2">
-<img alt="Gridding with a cubic interpolator" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id3">
-<img alt="Mask grid points by distance" src="../../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id4">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id5">
-<img alt="Gridding with a linear interpolator" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id6">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id7">
-<img alt="Gridding with splines (cross-validated)" src="../../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id8">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id9">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id10">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id11">
-<img alt="Chaining Operations" src="../../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><figure class="align-default" id="id12">
-<img alt="Grid Coordinates" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></span><a class="headerlink" href="#id12" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id13">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id13" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id14">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id14" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id15">
-<img alt="Geographic Coordinates" src="../../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id15" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id16">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id16" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id17">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id17" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.get_region</span></code><a class="headerlink" href="#examples-using-verde-get-region" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="../../gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><img alt="" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Grid Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.get_region"><code class="docutils literal notranslate"><span class="pre">get_region</span></code></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-get-region">Examples using <code class="docutils literal notranslate"><span class="pre">verde.get_region</span></code></a></li>
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diff --git a/dev/api/generated/verde.grid_coordinates.html b/dev/api/generated/verde.grid_coordinates.html
index d86a1d7af..4cc6cc977 100644
--- a/dev/api/generated/verde.grid_coordinates.html
+++ b/dev/api/generated/verde.grid_coordinates.html
@@ -2,51 +2,61 @@
 
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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   <section id="verde-grid-coordinates">
-<h1>verde.grid_coordinates<a class="headerlink" href="#verde-grid-coordinates" title="Permalink to this headline">#</a></h1>
+<h1>verde.grid_coordinates<a class="headerlink" href="#verde-grid-coordinates" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.grid_coordinates">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">grid_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pixel_register</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meshgrid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#grid_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.grid_coordinates" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">grid_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pixel_register</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meshgrid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#grid_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.grid_coordinates" title="Link to this definition">#</a></dt>
 <dd><p>Generate the coordinates for each point on a regular grid.</p>
 <p>The grid can be specified by either the number of points in each dimension
 (the <em>shape</em>) or by the grid node spacing.</p>
@@ -857,37 +508,37 @@ <h1>verde.grid_coordinates<a class="headerlink" href="#verde-grid-coordinates" t
 boundaries of the region can be adjusted to fit the exact spacing given.
 See the examples below.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of points in the South-North and West-East directions,
 respectively.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively. A single value means that the spacing is equal in both
 directions.</p></li>
 <li><p><strong>adjust</strong> (<em>{'spacing'</em><em>, </em><em>'region'}</em>) – Whether to adjust the spacing or the region if required. Ignored if
 <em>shape</em> is given instead of <em>spacing</em>. Defaults to adjusting the
 spacing.</p></li>
-<li><p><strong>pixel_register</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, the coordinates will refer to the center of each grid pixel
+<li><p><strong>pixel_register</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, the coordinates will refer to the center of each grid pixel
 instead of the grid lines. In practice, this means that there will be
 one less element per dimension of the grid when compared to grid line
 registered (only if given <em>spacing</em> and not <em>shape</em>). Default is False.</p></li>
-<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
+<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
 These extra arrays will have the same <em>shape</em> as the others but will
 contain a constant value. Will generate an extra array per value given
 in <em>extra_coords</em>. Use this to generate arrays of constant heights or
 times, for example, that might be needed to evaluate a gridder.</p></li>
-<li><p><strong>meshgrid</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, will call <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html#numpy.meshgrid" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.meshgrid</span></code></a> on the generated coordinates
+<li><p><strong>meshgrid</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, will call <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html#numpy.meshgrid" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.meshgrid</span></code></a> on the generated coordinates
 and return 2D arrays (useful if you need the coordinate values for
 every single point on a grid). Otherwise, will return 1D coordinate
-arrays (useful if you’re making a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> or looping
+arrays (useful if you’re making a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> or looping
 over grid coordinates with two <code class="docutils literal notranslate"><span class="pre">for</span></code> loops). Passing False to
 <em>meshgrid</em> is <strong>incompatible with *extra_coords* and an exception will
-be raised</strong> if used together (<a class="reference external" href="https://docs.python.org/3/library/exceptions.html#ValueError" title="(in Python v3.11)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ValueError</span></code></a>).</p></li>
+be raised</strong> if used together (<a class="reference external" href="https://docs.python.org/3/library/exceptions.html#ValueError" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ValueError</span></code></a>).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with coordinates of each point in the grid. Each array contains
 values for a dimension in the order: easting, northing, vertical, and
 any extra dimensions given in <em>extra_coords</em>. All arrays will have the
@@ -1095,90 +746,126 @@ <h1>verde.grid_coordinates<a class="headerlink" href="#verde-grid-coordinates" t
 </dd></dl>
 
 <section id="examples-using-verde-grid-coordinates">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code><a class="headerlink" href="#examples-using-verde-grid-coordinates" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id1">
-<img alt="Mask grid points by convex hull" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id2">
-<img alt="Mask grid points by distance" src="../../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><figure class="align-default" id="id3">
-<img alt="Grid Coordinates" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id4">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id5">
-<img alt="Model Selection" src="../../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><figure class="align-default" id="id6">
-<img alt="Overview" src="../../_images/sphx_glr_overview_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code><a class="headerlink" href="#examples-using-verde-grid-coordinates" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="../../gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><img alt="" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Grid Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><img alt="" src="../../_images/sphx_glr_overview_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></p>
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diff --git a/dev/api/generated/verde.grid_to_table.html b/dev/api/generated/verde.grid_to_table.html
index cddb7ab62..b39510656 100644
--- a/dev/api/generated/verde.grid_to_table.html
+++ b/dev/api/generated/verde.grid_to_table.html
@@ -2,51 +2,61 @@
 
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@@ -55,765 +65,452 @@
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-     Gridding with a nearest-neighbors interpolator
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-     Gridding with a linear interpolator
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-     Trends in vector data
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-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+    <!-- Table of contents -->
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   <section id="verde-grid-to-table">
-<h1>verde.grid_to_table<a class="headerlink" href="#verde-grid-to-table" title="Permalink to this headline">#</a></h1>
+<h1>verde.grid_to_table<a class="headerlink" href="#verde-grid-to-table" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.grid_to_table">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">grid_to_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#grid_to_table"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.grid_to_table" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">grid_to_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#grid_to_table"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.grid_to_table" title="Link to this definition">#</a></dt>
 <dd><p>Convert a grid to a table with the values and coordinates of each point.</p>
 <p>Takes a 2D grid as input, extracts the coordinates and runs them through
-<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html#numpy.meshgrid" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.meshgrid</span></code></a> to create a 2D table. Works for 2D grids and any
+<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html#numpy.meshgrid" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.meshgrid</span></code></a> to create a 2D table. Works for 2D grids and any
 number of variables. Use cases includes passing gridded data to functions
 that expect data in XYZ format, such as <a class="reference internal" href="verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a></p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A 2D grid with one or more data variables.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> or <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A 2D grid with one or more data variables.</p>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>table</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – Table with coordinates and variable values for each point in the grid.
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>table</strong> (<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>) – Table with coordinates and variable values for each point in the grid.
 Column names are taken from the grid. If <em>grid</em> is a
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> that doesn’t have a <code class="docutils literal notranslate"><span class="pre">name</span></code> attribute
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> that doesn’t have a <code class="docutils literal notranslate"><span class="pre">name</span></code> attribute
 defined, the column with data values will be called <code class="docutils literal notranslate"><span class="pre">&quot;scalars&quot;</span></code>.</p>
 </dd>
 </dl>
@@ -882,49 +579,102 @@ <h1>verde.grid_to_table<a class="headerlink" href="#verde-grid-to-table" title="
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+</li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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+  class="btn btn-sm btn-fullscreen-button"
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-            <!-- Table of contents that is only displayed when printing the page -->
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-                <h1>verde.inside</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>verde.inside</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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-                
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.inside"><code class="docutils literal notranslate"><span class="pre">inside</span></code></a></li>
+</ul>
+            </nav>
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+    </div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-inside">
-<h1>verde.inside<a class="headerlink" href="#verde-inside" title="Permalink to this headline">#</a></h1>
+<h1>verde.inside<a class="headerlink" href="#verde-inside" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.inside">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">inside</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#inside"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.inside" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">inside</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#inside"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.inside" title="Link to this definition">#</a></dt>
 <dd><p>Determine which points fall inside a given region.</p>
 <p>Points at the boundary are counted as being outsize.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>are_inside</strong> (<em>array of booleans</em>) – An array of booleans with the same shape as the input coordinate
 arrays. Will be <code class="docutils literal notranslate"><span class="pre">True</span></code> if the respective coordinates fall inside the
 area, <code class="docutils literal notranslate"><span class="pre">False</span></code> otherwise.</p>
@@ -857,49 +554,102 @@ <h1>verde.inside<a class="headerlink" href="#verde-inside" title="Permalink to t
 <div style='clear:both'></div></section>
 
 
-              </div>
+                </article>
               
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\ No newline at end of file
diff --git a/dev/api/generated/verde.line_coordinates.html b/dev/api/generated/verde.line_coordinates.html
index da2b3af78..34adce175 100644
--- a/dev/api/generated/verde.line_coordinates.html
+++ b/dev/api/generated/verde.line_coordinates.html
@@ -2,51 +2,61 @@
 
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     <link rel="index" title="Index" href="../../genindex.html" />
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@@ -55,780 +65,467 @@
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   <section id="verde-line-coordinates">
-<h1>verde.line_coordinates<a class="headerlink" href="#verde-line-coordinates" title="Permalink to this headline">#</a></h1>
+<h1>verde.line_coordinates<a class="headerlink" href="#verde-line-coordinates" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.line_coordinates">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">line_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pixel_register</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#line_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.line_coordinates" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">line_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pixel_register</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#line_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.line_coordinates" title="Link to this definition">#</a></dt>
 <dd><p>Generate evenly spaced points between two values.</p>
 <p>Able to handle either specifying the number of points required (<em>size</em>) or
 the size of the interval between points (<em>spacing</em>). If using <em>size</em>, the
-output will be similar to using <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.linspace.html#numpy.linspace" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.linspace</span></code></a>. When using
+output will be similar to using <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.linspace.html#numpy.linspace" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.linspace</span></code></a>. When using
 <em>spacing</em>, if the interval is not divisible by the desired spacing, either
 the interval or the spacing will have to be adjusted. By default, the
 spacing will be rounded to the nearest multiple. Optionally, the <em>stop</em>
 value can be adjusted to fit the exact spacing given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>start</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The starting value of the sequence.</p></li>
-<li><p><strong>stop</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The end value of the sequence.</p></li>
-<li><p><strong>num</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a><em> or </em><em>None</em>) – The number of points in the sequence. If None, <em>spacing</em> must be
+<li><p><strong>start</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The starting value of the sequence.</p></li>
+<li><p><strong>stop</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The end value of the sequence.</p></li>
+<li><p><strong>num</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><em>None</em>) – The number of points in the sequence. If None, <em>spacing</em> must be
 provided.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em> or </em><em>None</em>) – The step size (interval) between points in the sequence. If None,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>None</em>) – The step size (interval) between points in the sequence. If None,
 <em>size</em> must be provided.</p></li>
 <li><p><strong>adjust</strong> (<em>{'spacing'</em><em>, </em><em>'region'}</em>) – Whether to adjust the spacing or the interval/region if required.
 Ignored if <em>size</em> is given instead of <em>spacing</em>. Defaults to adjusting
 the spacing.</p></li>
-<li><p><strong>pixel_register</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, the points will refer to the center of each interval (pixel)
+<li><p><strong>pixel_register</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, the points will refer to the center of each interval (pixel)
 instead of the boundaries. In practice, this means that there will be
 one less element in the sequence if <em>spacing</em> is provided. If <em>size</em> is
 provided, the requested number of elements is respected. Default is
 False.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>sequence</strong> (<em>array</em>) – The generated sequence of values.</p>
 </dd>
 </dl>
@@ -879,49 +576,102 @@ <h1>verde.line_coordinates<a class="headerlink" href="#verde-line-coordinates" t
 <div style='clear:both'></div></section>
 
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
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+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.line_coordinates"><code class="docutils literal notranslate"><span class="pre">line_coordinates</span></code></a></li>
+</ul>
+  </nav></div>
+
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+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
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+  <div class="footer-item">
+    <p class="last-updated">
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+  <div class="footer-item">
     
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+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
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\ No newline at end of file
diff --git a/dev/api/generated/verde.load_surfer.html b/dev/api/generated/verde.load_surfer.html
index aad36bbe1..fbce4f890 100644
--- a/dev/api/generated/verde.load_surfer.html
+++ b/dev/api/generated/verde.load_surfer.html
@@ -2,51 +2,61 @@
 
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-<html>
+
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
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+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
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-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.load_surfer';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.synthetic.CheckerBoard" href="verde.synthetic.CheckerBoard.html" />
@@ -55,771 +65,458 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+    Back to top
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+      action="../../search.html"
+      method="get">
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+         id="search-input"
+         placeholder="Search..."
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+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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-     K-Fold cross-validation with blocks
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-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
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-   <li class="toctree-l2">
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-     Using weights in blocked reduction
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-   <li class="toctree-l2">
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
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   <section id="verde-load-surfer">
-<h1>verde.load_surfer<a class="headerlink" href="#verde-load-surfer" title="Permalink to this headline">#</a></h1>
+<h1>verde.load_surfer<a class="headerlink" href="#verde-load-surfer" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.load_surfer">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">load_surfer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/io.html#load_surfer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.load_surfer" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">load_surfer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/io.html#load_surfer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.load_surfer" title="Link to this definition">#</a></dt>
 <dd><p>Read data from a Surfer ASCII grid file.</p>
 <p>This function reads a Surfer grid file, masks any NaNs in the data,
-and outputs a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> that contains easting and northing
+and outputs a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a> that contains easting and northing
 coordinates, data values, and associated file metadata.</p>
 <p>Surfer is a contouring, griding and surface mapping software
 from GoldenSoftware. The names and logos for Surfer and Golden
 Software are registered trademarks of Golden Software, Inc.</p>
 <p><a class="reference external" href="http://www.goldensoftware.com/products/surfer">http://www.goldensoftware.com/products/surfer</a></p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>fname</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><em>file-like object</em>) – Name or path of the Surfer grid file or an open file (or file-like)
+<li><p><strong>fname</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>file-like object</em>) – Name or path of the Surfer grid file or an open file (or file-like)
 object.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.dtype.html#numpy.dtype" title="(in NumPy v1.24)"><em>numpy.dtype</em></a>) – The type of variable used for the data. Default is <code class="docutils literal notranslate"><span class="pre">float64</span></code>. Use
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.dtype.html#numpy.dtype" title="(in NumPy v1.26)"><em>numpy.dtype</em></a>) – The type of variable used for the data. Default is <code class="docutils literal notranslate"><span class="pre">float64</span></code>. Use
 <code class="docutils literal notranslate"><span class="pre">float32</span></code> if the data are large and precision is not an issue.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>data</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A 2D grid with the data.</p>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A 2D grid with the data.</p>
 </dd>
 </dl>
 </dd></dl>
@@ -827,49 +524,102 @@ <h1>verde.load_surfer<a class="headerlink" href="#verde-load-surfer" title="Perm
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   <section id="verde-make-xarray-grid">
-<h1>verde.make_xarray_grid<a class="headerlink" href="#verde-make-xarray-grid" title="Permalink to this headline">#</a></h1>
+<h1>verde.make_xarray_grid<a class="headerlink" href="#verde-make-xarray-grid" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.make_xarray_grid">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">make_xarray_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('northing',</span> <span class="pre">'easting')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#make_xarray_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.make_xarray_grid" title="Permalink to this definition">#</a></dt>
-<dd><p>Create an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid from 2D numpy arrays</p>
-<p>This function creates an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> out of 2d gridded data
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">make_xarray_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('northing',</span> <span class="pre">'easting')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#make_xarray_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.make_xarray_grid" title="Link to this definition">#</a></dt>
+<dd><p>Create an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid from 2D numpy arrays</p>
+<p>This function creates an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> out of 2d gridded data
 including easting and northing coordinates, any extra coordinates (like
 upward elevation, time, etc) and data arrays.</p>
 <p>Use this to transform the outputs of <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> and
-the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method of a gridder into an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.</p>
+the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method of a gridder into an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.</p>
 <div class="admonition important">
 <p class="admonition-title">Important</p>
 <p>This function does not perform any interpolation or gridding. If you
@@ -819,38 +516,38 @@ <h1>verde.make_xarray_grid<a class="headerlink" href="#verde-make-xarray-grid" t
 <p class="admonition-title">Note</p>
 <p>This is a utility function to help create 2D grids (i.e., grids with
 two <code class="docutils literal notranslate"><span class="pre">dims</span></code> coordinates). For arbitrary N-dimensional arrays, use
-<a class="reference external" href="https://docs.xarray.dev/en/stable/index.html#module-xarray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">xarray</span></code></a> directly.</p>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/index.html#module-xarray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">xarray</span></code></a> directly.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with coordinates of each point in the grid. Each array must
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with coordinates of each point in the grid. Each array must
 contain values for a dimension in the order: easting, northing,
 vertical, etc. All arrays must be 2d and need to have the same <em>shape</em>.
 These coordinates can be generated through
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a>.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em>, </em><em>tuple of arrays</em><em> or </em><em>None</em>) – Array or tuple of arrays with data values on each point in the grid.
+<li><p><strong>data</strong> (<em>array</em><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em><em> or </em><em>None</em>) – Array or tuple of arrays with data values on each point in the grid.
 Each array must contain values for a dimension in the same order as
 the coordinates. All arrays need to have the same <em>shape</em>.
-If None, the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> will not have any <code class="docutils literal notranslate"><span class="pre">data_var</span></code>
+If None, the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> will not have any <code class="docutils literal notranslate"><span class="pre">data_var</span></code>
 array.</p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – The name(s) of the data variables in the output grid.
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The name(s) of the data variables in the output grid.
 Ignored if <code class="docutils literal notranslate"><span class="pre">data</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> (</em><em>optional</em><em>)</em>) – The names of the northing and easting data dimensions, respectively,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (</em><em>optional</em><em>)</em>) – The names of the northing and easting data dimensions, respectively,
 in the output grid. Must be defined in the following order: northing
 dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong>
-The easting and northing coordinates in the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>
+The easting and northing coordinates in the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>
 will have the same names as the passed dimensions.</p></li>
-<li><p><strong>extra_coords_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> (</em><em>optional</em><em>)</em>) – Name or list of names for any additional coordinates besides the
+<li><p><strong>extra_coords_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (</em><em>optional</em><em>)</em>) – Name or list of names for any additional coordinates besides the
 easting and northing ones. Ignored if coordinates has
 only two elements. The extra coordinates are non-index coordinates of
 the grid array.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – A 2D grid with one or more data variables.</p>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>) – A 2D grid with one or more data variables.</p>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
@@ -919,49 +616,102 @@ <h1>verde.make_xarray_grid<a class="headerlink" href="#verde-make-xarray-grid" t
 <div style='clear:both'></div></section>
 
 
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   <section id="verde-maxabs">
-<h1>verde.maxabs<a class="headerlink" href="#verde-maxabs" title="Permalink to this headline">#</a></h1>
+<h1>verde.maxabs<a class="headerlink" href="#verde-maxabs" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.maxabs">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">maxabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#maxabs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.maxabs" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">maxabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#maxabs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.maxabs" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the maximum absolute value of the given array(s).</p>
 <p>Use this to set the limits of your colorbars and center them on zero.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>args</strong> – One or more arrays. If more than one are given, a single maximum will
 be calculated across all arrays.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>maxabs</strong> (<em>float</em>) – The maximum absolute value across all arrays.</p>
 </dd>
 </dl>
@@ -878,96 +529,129 @@ <h1>verde.maxabs<a class="headerlink" href="#verde-maxabs" title="Permalink to t
 </dd></dl>
 
 <section id="examples-using-verde-maxabs">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.maxabs</span></code><a class="headerlink" href="#examples-using-verde-maxabs" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id1">
-<img alt="Using weights in blocked reduction" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id2">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id3">
-<img alt="Polynomial trend" src="../../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id4">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id5">
-<img alt="Trend Estimation" src="../../_images/sphx_glr_trends_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id6">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id7">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.maxabs</span></code><a class="headerlink" href="#examples-using-verde-maxabs" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-maxabs">Examples using <code class="docutils literal notranslate"><span class="pre">verde.maxabs</span></code></a></li>
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diff --git a/dev/api/generated/verde.median_distance.html b/dev/api/generated/verde.median_distance.html
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
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 </ul>
-<p aria-level="2" class="caption" role="heading">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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-                <h1>verde.median_distance</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.median_distance"><code class="docutils literal notranslate"><span class="pre">median_distance</span></code></a></li>
+</ul>
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+                  
   <section id="verde-median-distance">
-<h1>verde.median_distance<a class="headerlink" href="#verde-median-distance" title="Permalink to this headline">#</a></h1>
+<h1>verde.median_distance<a class="headerlink" href="#verde-median-distance" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.median_distance">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">median_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_nearest</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/distances.html#median_distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.median_distance" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">median_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_nearest</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/distances.html#median_distance"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.median_distance" title="Link to this definition">#</a></dt>
 <dd><p>Median distance between the <em>k</em> nearest neighbors of each point.</p>
 <p>For each point specified in <em>coordinates</em>, calculate the median of the
 distance to its <em>k_nearest</em> neighbors among the other points in the
@@ -818,16 +515,16 @@ <h1>verde.median_distance<a class="headerlink" href="#verde-median-distance" tit
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>If installed, package <code class="docutils literal notranslate"><span class="pre">pykdtree</span></code> will be used instead of
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only the first two
 coordinates (assumed to be the horizontal) will be used in the distance
 computations.</p></li>
-<li><p><strong>k_nearest</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – Will calculate the median of the <em>k</em> nearest neighbors of each point. A
+<li><p><strong>k_nearest</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Will calculate the median of the <em>k</em> nearest neighbors of each point. A
 value of 1 will result in the distance to nearest neighbor of each data
 point.</p></li>
 <li><p><strong>projection</strong> (<em>callable</em><em> or </em><em>None</em>) – If not None, then should be a callable object (like a function)
@@ -836,7 +533,7 @@ <h1>verde.median_distance<a class="headerlink" href="#verde-median-distance" tit
 northing and easting coordinate arrays.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>distances</strong> (<em>array</em>) – An array with the median distances to the <em>k</em> nearest neighbors of each
 data point. The array will have the same shape as the input coordinate
 arrays.</p>
@@ -880,49 +577,102 @@ <h1>verde.median_distance<a class="headerlink" href="#verde-median-distance" tit
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   <section id="verde-pad-region">
-<h1>verde.pad_region<a class="headerlink" href="#verde-pad-region" title="Permalink to this headline">#</a></h1>
+<h1>verde.pad_region<a class="headerlink" href="#verde-pad-region" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.pad_region">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">pad_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#pad_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.pad_region" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">pad_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#pad_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.pad_region" title="Link to this definition">#</a></dt>
 <dd><p>Extend the borders of a region by the given amount.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p></li>
-<li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em> or </em><em>tuple =</em><em> (</em><em>pad_north</em><em>, </em><em>pad_east</em><em>)</em>) – The amount of padding to add to the region. If it’s a single number,
+<li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>tuple =</em><em> (</em><em>pad_north</em><em>, </em><em>pad_east</em><em>)</em>) – The amount of padding to add to the region. If it’s a single number,
 add this to all boundaries of region equally. If it’s a tuple of
 numbers, then will add different padding to the North-South and
 East-West dimensions.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>padded_region</strong> (<em>list = [W, E, S, N]</em>) – The padded region.</p>
 </dd>
 </dl>
@@ -874,60 +525,111 @@ <h1>verde.pad_region<a class="headerlink" href="#verde-pad-region" title="Permal
 </dd></dl>
 
 <section id="examples-using-verde-pad-region">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.pad_region</span></code><a class="headerlink" href="#examples-using-verde-pad-region" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><figure class="align-default" id="id1">
-<img alt="Grid Coordinates" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.pad_region</span></code><a class="headerlink" href="#examples-using-verde-pad-region" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><img alt="" src="../../_images/sphx_glr_grid_coordinates_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Grid Coordinates</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-pad-region">Examples using <code class="docutils literal notranslate"><span class="pre">verde.pad_region</span></code></a></li>
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diff --git a/dev/api/generated/verde.profile_coordinates.html b/dev/api/generated/verde.profile_coordinates.html
index 6463a023a..6d5f53f0b 100644
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+    <script src="../../_static/design-tabs.js?v=36754332"></script>
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     <link rel="index" title="Index" href="../../genindex.html" />
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@@ -55,769 +65,456 @@
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   <section id="verde-profile-coordinates">
-<h1>verde.profile_coordinates<a class="headerlink" href="#verde-profile-coordinates" title="Permalink to this headline">#</a></h1>
+<h1>verde.profile_coordinates<a class="headerlink" href="#verde-profile-coordinates" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.profile_coordinates">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">profile_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#profile_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.profile_coordinates" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">profile_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#profile_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.profile_coordinates" title="Link to this definition">#</a></dt>
 <dd><p>Coordinates for a profile along a straight line between two points.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – <code class="docutils literal notranslate"><span class="pre">(easting,</span> <span class="pre">northing)</span></code> West-East and South-North coordinates of the
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – <code class="docutils literal notranslate"><span class="pre">(easting,</span> <span class="pre">northing)</span></code> West-East and South-North coordinates of the
 first point, respectively.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – <code class="docutils literal notranslate"><span class="pre">(easting,</span> <span class="pre">northing)</span></code> West-East and South-North coordinates of the
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – <code class="docutils literal notranslate"><span class="pre">(easting,</span> <span class="pre">northing)</span></code> West-East and South-North coordinates of the
 second point, respectively.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – Number of points to sample along the line.</p></li>
-<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Number of points to sample along the line.</p></li>
+<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
 These extra arrays will have the same <em>size</em> as the others but will
 contain a constant value. Will generate an extra array per value given
 in <em>extra_coords</em>. Use this to generate arrays of constant heights or
 times, for example, that might be needed to evaluate a gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>coordinates, distances</strong> (<em>tuple and 1d array</em>) – The coordinates of points along the straight line and the distances
 from the first point.</p>
 </dd>
@@ -856,49 +553,102 @@ <h1>verde.profile_coordinates<a class="headerlink" href="#verde-profile-coordina
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+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/api/generated/verde.project_grid.html b/dev/api/generated/verde.project_grid.html
index 35781e828..7c3f27799 100644
--- a/dev/api/generated/verde.project_grid.html
+++ b/dev/api/generated/verde.project_grid.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.project_grid | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
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-  <link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
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+    <link rel="stylesheet" type="text/css" href="../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../_static/custom.css?v=44687e0a" />
+  
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-    <script src="../../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.project_grid';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.distance_mask" href="verde.distance_mask.html" />
@@ -55,799 +65,440 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
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-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
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+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
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+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
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+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+  
 
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-      <div class="row">
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-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
-      
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 current active has-children">
-  <a class="reference internal" href="../index.html">
-   List of functions and classes (API)
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-     verde.Spline
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-   <li class="toctree-l2">
-    <a class="reference internal" href="verde.SplineCV.html">
-     verde.SplineCV
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   <section id="verde-project-grid">
-<h1>verde.project_grid<a class="headerlink" href="#verde-project-grid" title="Permalink to this headline">#</a></h1>
+<h1>verde.project_grid<a class="headerlink" href="#verde-project-grid" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.project_grid">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">project_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">antialias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/projections.html#project_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.project_grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">project_grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">antialias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/projections.html#project_grid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.project_grid" title="Link to this definition">#</a></dt>
 <dd><p>Apply the given map projection to a grid and re-sample it.</p>
 <p>Creates a new grid in the projected coordinates by interpolating the
 original values using the chosen <em>method</em> (linear by default). Before
@@ -877,9 +528,9 @@ <h1>verde.project_grid<a class="headerlink" href="#verde-project-grid" title="Pe
 <a class="reference external" href="https://github.com/pytroll/pyresample">pyresample</a> instead.</p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A single 2D grid of values. The first dimension is assumed to be the
+<li><p><strong>grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – A single 2D grid of values. The first dimension is assumed to be the
 northing/latitude dimension while the second is assumed to be the
 easting/longitude dimension.</p></li>
 <li><p><strong>projection</strong> (<em>callable</em>) – Should be a callable object (like a function) <code class="docutils literal notranslate"><span class="pre">projection(easting,</span>
@@ -890,73 +541,124 @@ <h1>verde.project_grid<a class="headerlink" href="#verde-project-grid" title="Pe
 <a class="reference internal" href="verde.Linear.html#verde.Linear" title="verde.Linear"><code class="xref py py-class docutils literal notranslate"><span class="pre">Linear</span></code></a>, or <a class="reference internal" href="verde.Cubic.html#verde.Cubic" title="verde.Cubic"><code class="xref py py-class docutils literal notranslate"><span class="pre">Cubic</span></code></a> (<code class="docutils literal notranslate"><span class="pre">&quot;nearest&quot;</span></code>,
 <code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code>, or <code class="docutils literal notranslate"><span class="pre">&quot;cubic&quot;</span></code>). Otherwise, should be a gridder/estimator
 object, like <a class="reference internal" href="verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a>. Default is <code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code>.</p></li>
-<li><p><strong>antialias</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – If True, will run a <a class="reference internal" href="verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a> with a mean function to
+<li><p><strong>antialias</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, will run a <a class="reference internal" href="verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a> with a mean function to
 avoid aliasing when the projection results in oversampling of the data
 in some areas (for example, in polar projections). If False, will not
 run the blocked mean.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
-<dd class="field-even"><p><strong>projected_grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – The projected grid, interpolated with the given parameters.</p>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>projected_grid</strong> (<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) – The projected grid, interpolated with the given parameters.</p>
 </dd>
 </dl>
 </dd></dl>
 
 <section id="examples-using-verde-project-grid">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_grid</span></code><a class="headerlink" href="#examples-using-verde-project-grid" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id1">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_grid</span></code><a class="headerlink" href="#examples-using-verde-project-grid" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div></div><div style='clear:both'></div></section>
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diff --git a/dev/api/generated/verde.project_region.html b/dev/api/generated/verde.project_region.html
index efc63aaa2..653b82e3f 100644
--- a/dev/api/generated/verde.project_region.html
+++ b/dev/api/generated/verde.project_region.html
@@ -2,51 +2,61 @@
 
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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- </span>
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+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
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-   <code class="docutils literal notranslate">
-    <span class="pre">
-     verde.project_region
-    </span>
-   </code>
-  </a>
- </li>
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>verde.project_region</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.project_region"><code class="docutils literal notranslate"><span class="pre">project_region</span></code></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-project-region">Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_region</span></code></a></li>
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-                <h1>verde.project_region</h1>
-                <!-- Table of contents -->
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-                        
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-                            <h2> Contents </h2>
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- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#examples-using-verde-project-region">
-   Examples using
-   <code class="docutils literal notranslate">
-    <span class="pre">
-     verde.project_region
-    </span>
-   </code>
-  </a>
- </li>
-</ul>
+</div>
 
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-            <main id="main-content" role="main">
-                
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+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="verde-project-region">
-<h1>verde.project_region<a class="headerlink" href="#verde-project-region" title="Permalink to this headline">#</a></h1>
+<h1>verde.project_region<a class="headerlink" href="#verde-project-region" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.project_region">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">project_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/projections.html#project_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.project_region" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">project_region</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/projections.html#project_region"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.project_region" title="Link to this definition">#</a></dt>
 <dd><p>Calculate the bounding box of a region in projected coordinates.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p></li>
@@ -860,7 +511,7 @@ <h1>verde.project_region<a class="headerlink" href="#verde-project-region" title
 coordinate arrays.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>proj_region</strong> (<em>list = [W, E, S, N]</em>) – The bounding box of the projected region.</p>
 </dd>
 </dl>
@@ -874,60 +525,111 @@ <h1>verde.project_region<a class="headerlink" href="#verde-project-region" title
 </dd></dl>
 
 <section id="examples-using-verde-project-region">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_region</span></code><a class="headerlink" href="#examples-using-verde-project-region" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id1">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_region</span></code><a class="headerlink" href="#examples-using-verde-project-region" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
-              </div>
+                </article>
               
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-            <footer class="footer-article noprint">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.project_region"><code class="docutils literal notranslate"><span class="pre">project_region</span></code></a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-project-region">Examples using <code class="docutils literal notranslate"><span class="pre">verde.project_region</span></code></a></li>
+</ul>
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+  <footer class="bd-footer">
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\ No newline at end of file
diff --git a/dev/api/generated/verde.rolling_window.html b/dev/api/generated/verde.rolling_window.html
index 086abbd14..539197439 100644
--- a/dev/api/generated/verde.rolling_window.html
+++ b/dev/api/generated/verde.rolling_window.html
@@ -2,51 +2,61 @@
 
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-<html>
+
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+
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.rolling_window | Verde dev</title>
     
 
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+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-    
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-  <link rel="preload" as="font" type="font/woff2" crossorigin
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
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+  
   <!-- Pre-loaded scripts that we'll load fully later -->
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-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.rolling_window';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.expanding_window" href="verde.expanding_window.html" />
@@ -55,752 +65,439 @@
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   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
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-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+  
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
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+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
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+          class="sidebar-toggle"
+          name="__secondary"
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   <section id="verde-rolling-window">
-<h1>verde.rolling_window<a class="headerlink" href="#verde-rolling-window" title="Permalink to this headline">#</a></h1>
+<h1>verde.rolling_window<a class="headerlink" href="#verde-rolling-window" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.rolling_window">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">rolling_window</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#rolling_window"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.rolling_window" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">rolling_window</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjust</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'spacing'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#rolling_window"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.rolling_window" title="Link to this definition">#</a></dt>
 <dd><p>Select points on a rolling (moving) window.</p>
 <p>A window of the given size is moved across the region at a given step
 (specified by <em>spacing</em> or <em>shape</em>). Returns the indices of points falling
@@ -811,13 +508,13 @@ <h1>verde.rolling_window<a class="headerlink" href="#verde-rolling-window" title
 South-North and West-East directions can be specified using the <em>shape</em>
 parameter. <strong>One of the two must be given.</strong></p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting and
 northing will be used, all subsequent coordinates will be ignored.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The size of the windows. Units should match the units of <em>coordinates</em>.</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The window size in the South-North and West-East directions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The size of the windows. Units should match the units of <em>coordinates</em>.</p></li>
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The window size in the South-North and West-East directions,
 respectively. A single value means that the size is equal in both
 directions.</p></li>
 <li><p><strong>shape</strong> (<em>tuple =</em><em> (</em><em>n_north</em><em>, </em><em>n_east</em><em>) or </em><em>None</em>) – The number of blocks in the South-North and West-East directions,
@@ -830,7 +527,7 @@ <h1>verde.rolling_window<a class="headerlink" href="#verde-rolling-window" title
 spacing.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><ul class="simple">
 <li><p><strong>window_coordinates</strong> (<em>tuple of arrays</em>) – Coordinate arrays for the center of each window.</p></li>
 <li><p><strong>indices</strong> (<em>array</em>) – Each element of the array corresponds the indices of points falling
@@ -1005,49 +702,102 @@ <h1>verde.rolling_window<a class="headerlink" href="#verde-rolling-window" title
 <div style='clear:both'></div></section>
 
 
-              </div>
+                </article>
               
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.rolling_window"><code class="docutils literal notranslate"><span class="pre">rolling_window</span></code></a></li>
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\ No newline at end of file
diff --git a/dev/api/generated/verde.scatter_points.html b/dev/api/generated/verde.scatter_points.html
index c0100051a..d6c43c869 100644
--- a/dev/api/generated/verde.scatter_points.html
+++ b/dev/api/generated/verde.scatter_points.html
@@ -2,51 +2,61 @@
 
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.scatter_points';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.profile_coordinates" href="verde.profile_coordinates.html" />
@@ -55,772 +65,459 @@
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   <section id="verde-scatter-points">
-<h1>verde.scatter_points<a class="headerlink" href="#verde-scatter-points" title="Permalink to this headline">#</a></h1>
+<h1>verde.scatter_points<a class="headerlink" href="#verde-scatter-points" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.scatter_points">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">scatter_points</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#scatter_points"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.scatter_points" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">scatter_points</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/coordinates.html#scatter_points"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.scatter_points" title="Link to this definition">#</a></dt>
 <dd><p>Generate the coordinates for a random scatter of points.</p>
 <p>The points are drawn from a uniform distribution.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The boundaries of a given region in Cartesian or geographic
 coordinates.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically (resulting in
 different numbers with each run).</p></li>
-<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
+<li><p><strong>extra_coords</strong> (<em>None</em><em>, </em><em>scalar</em><em>, or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – If not None, then value(s) of extra coordinate arrays to be generated.
 These extra arrays will have the same <em>size</em> as the others but will
 contain a constant value. Will generate an extra array per value given
 in <em>extra_coords</em>. Use this to generate arrays of constant heights or
 times, for example, that might be needed to evaluate a gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with coordinates of each point in the grid. Each array contains
 values for a dimension in the order: easting, northing, vertical, and
 any extra dimensions given in <em>extra_coords</em>. All arrays will have the
@@ -862,49 +559,102 @@ <h1>verde.scatter_points<a class="headerlink" href="#verde-scatter-points" title
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index 6067a5a04..1b38216d7 100644
--- a/dev/api/generated/verde.synthetic.CheckerBoard.html
+++ b/dev/api/generated/verde.synthetic.CheckerBoard.html
@@ -2,52 +2,62 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../../" >
+
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>verde.synthetic.CheckerBoard | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
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-  <link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/styles/sphinx-book-theme.css?v=384b581d" />
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-    <link rel="stylesheet" type="text/css" href="../../_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
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+    <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../../_static/custom.css?v=44687e0a" />
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-  <link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
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-    <script src="../../_static/underscore.js"></script>
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-    <script src="../../_static/design-tabs.js"></script>
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../../_static/copybutton.js?v=f281be69"></script>
+    <script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../../_static/design-tabs.js?v=36754332"></script>
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-    <link rel="shortcut icon" href="../../_static/favicon.png"/>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'api/generated/verde.synthetic.CheckerBoard';</script>
+    <link rel="icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="verde.base.BaseGridder" href="verde.base.BaseGridder.html" />
@@ -56,799 +66,455 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
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+          class="sidebar-toggle"
+          name="__primary"
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+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
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+  
 
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-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <img src="../../_static/verde-logo.png" class="logo" alt="logo">
       
-      
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
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-</div><form class="bd-search d-flex align-items-center" action="../../search.html" method="get">
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-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../../gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/checkerboard.html">
-     Checkerboard function
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/distance_mask.html">
-     Mask grid points by distance
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 current active has-children">
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-    <a class="reference internal" href="verde.SplineCV.html">
-     verde.SplineCV
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-    <a class="reference internal" href="verde.KNeighbors.html">
-     verde.KNeighbors
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-     verde.Linear
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   <section id="verde-synthetic-checkerboard">
-<h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-checkerboard" title="Permalink to this headline">#</a></h1>
+<h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-checkerboard" title="Link to this heading">#</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.synthetic.</span></span><span class="sig-name descname"><span class="pre">CheckerBoard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">amplitude</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0,</span> <span class="pre">5000,</span> <span class="pre">-</span> <span class="pre">5000,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_east</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_north</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">verde.synthetic.</span></span><span class="sig-name descname"><span class="pre">CheckerBoard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">amplitude</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0,</span> <span class="pre">5000,</span> <span class="pre">-5000,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_east</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_north</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard" title="Link to this definition">#</a></dt>
 <dd><p>Generate synthetic data in a checkerboard pattern.</p>
 <p>The mathematical model is:</p>
 <div class="math notranslate nohighlight">
@@ -859,14 +525,14 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 coordinate, <span class="math notranslate nohighlight">\(a\)</span> is the amplitude, and <span class="math notranslate nohighlight">\(w_e\)</span> and <span class="math notranslate nohighlight">\(w_n\)</span> are
 the wavelengths in the east and north directions, respectively.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>amplitude</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The amplitude of the checkerboard undulations.</p></li>
-<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the region used to generate the
+<li><p><strong>amplitude</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The amplitude of the checkerboard undulations.</p></li>
+<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The boundaries (<code class="docutils literal notranslate"><span class="pre">[W,</span> <span class="pre">E,</span> <span class="pre">S,</span> <span class="pre">N]</span></code>) of the region used to generate the
 synthetic data.</p></li>
-<li><p><strong>w_east</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The wavelength in the east direction. Defaults to half of the West-East
+<li><p><strong>w_east</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The wavelength in the east direction. Defaults to half of the West-East
 size of the evaluating region.</p></li>
-<li><p><strong>w_north</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The wavelength in the north direction. Defaults to half of the
+<li><p><strong>w_north</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The wavelength in the north direction. Defaults to half of the
 South-North size of the evaluating region.</p></li>
 </ul>
 </dd>
@@ -891,10 +557,6 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <p class="rubric">Methods Summary</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.filter" title="verde.synthetic.CheckerBoard.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.filter</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Filter the data through the gridder and produce residuals.</p></td>
@@ -902,33 +564,45 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 <tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.fit" title="verde.synthetic.CheckerBoard.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.fit</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Fit the gridder to observed data.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.get_params" title="verde.synthetic.CheckerBoard.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.get_params</span></code></a>([deep])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.get_metadata_routing" title="verde.synthetic.CheckerBoard.get_metadata_routing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.get_metadata_routing</span></code></a>()</p></td>
+<td><p>Get metadata routing of this object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.get_params" title="verde.synthetic.CheckerBoard.get_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.get_params</span></code></a>([deep])</p></td>
 <td><p>Get parameters for this estimator.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.grid" title="verde.synthetic.CheckerBoard.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.grid</span></code></a>([region, shape, spacing, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.grid" title="verde.synthetic.CheckerBoard.grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.grid</span></code></a>([region, shape, spacing, ...])</p></td>
 <td><p>Interpolate the data onto a regular grid.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.predict" title="verde.synthetic.CheckerBoard.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.predict</span></code></a>(coordinates)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.predict" title="verde.synthetic.CheckerBoard.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.predict</span></code></a>(coordinates)</p></td>
 <td><p>Evaluate the checkerboard function on a given set of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.profile" title="verde.synthetic.CheckerBoard.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.profile</span></code></a>(point1, point2, size[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.profile" title="verde.synthetic.CheckerBoard.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.profile</span></code></a>(point1, point2, size[, ...])</p></td>
 <td><p>Interpolate data along a profile between two points.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.scatter" title="verde.synthetic.CheckerBoard.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.scatter</span></code></a>([region, size, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.scatter" title="verde.synthetic.CheckerBoard.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.scatter</span></code></a>([region, size, ...])</p></td>
 <td><p>Generate values on a random scatter of points.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.score" title="verde.synthetic.CheckerBoard.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.score</span></code></a>(coordinates, data[, weights])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.score" title="verde.synthetic.CheckerBoard.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.score</span></code></a>(coordinates, data[, weights])</p></td>
 <td><p>Score the gridder predictions against the given data.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.set_fit_request" title="verde.synthetic.CheckerBoard.set_fit_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.set_fit_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.set_params" title="verde.synthetic.CheckerBoard.set_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.set_params</span></code></a>(**params)</p></td>
 <td><p>Set the parameters of this estimator.</p></td>
 </tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.set_predict_request" title="verde.synthetic.CheckerBoard.set_predict_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.set_predict_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#verde.synthetic.CheckerBoard.set_score_request" title="verde.synthetic.CheckerBoard.set_score_request"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CheckerBoard.set_score_request</span></code></a>(*[, ...])</p></td>
+<td><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p></td>
+</tr>
 </tbody>
 </table>
 <hr class="docutils" />
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.filter">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.filter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.filter" title="Link to this definition">#</a></dt>
 <dd><p>Filter the data through the gridder and produce residuals.</p>
 <p>Calls <code class="docutils literal notranslate"><span class="pre">fit</span></code> on the data, evaluates the residuals (data - predicted
 data), and returns the coordinates, residuals, and weights.</p>
@@ -937,21 +611,21 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 join them together (for example, so you can fit a spline on the
 residuals of a trend).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>coordinates, residuals, weights</em> – The coordinates and weights are same as the input. Residuals are
 the input data minus the predicted data.</p>
 </dd>
@@ -960,38 +634,52 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.fit">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.fit" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fit the gridder to observed data. NOT IMPLEMENTED.</p>
 <p>This is a dummy placeholder for an actual method.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><em>self</em> – This instance of the gridder. Useful to chain operations.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.get_metadata_routing">
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">get_metadata_routing</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.get_metadata_routing" title="Link to this definition">#</a></dt>
+<dd><p>Get metadata routing of this object.</p>
+<p>Please check <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>routing</strong> (<em>MetadataRequest</em>) – A <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html#sklearn.utils.metadata_routing.MetadataRequest" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">MetadataRequest</span></code></a> encapsulating
+routing information.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.get_params">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.get_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.get_params" title="Link to this definition">#</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>deep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default=True</em>) – If True, will return the parameters for this estimator and
 contained subobjects that are estimators.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Parameter names mapped to their values.</p>
 </dd>
 </dl>
@@ -999,13 +687,13 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.grid">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.grid" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">grid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.grid" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate the data onto a regular grid.</p>
 <p>The grid can be specified by two methods:</p>
 <ul class="simple">
 <li><p>Pass the actual <em>coordinates</em> of the grid points, as generated by
 <a class="reference internal" href="verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> or from an existing
-<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
+<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid.</p></li>
 <li><p>Let the method define a new grid by either passing the number of
 points in each dimension (the <em>shape</em>) or by the grid node <em>spacing</em>.
 If the interpolator collected the input data region, then it will be
@@ -1015,10 +703,10 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p></li>
 </ul>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
-dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
+dimensions and the data field(s) in the output <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.
 Default names will be provided if none are given.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
@@ -1028,13 +716,13 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 <li><p><strong>spacing</strong> (<em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>) or </em><em>None</em>) – The grid spacing in the South-North and West-East directions,
 respectively.
 Use only if <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> is None.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output grid. Default is determined from the
 <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the following
 order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output grid. Defaults to
 <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1046,7 +734,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 will be used to project the generated grid coordinates before
 passing them into <code class="docutils literal notranslate"><span class="pre">predict</span></code>. For example, you can use this to
 generate a geographic grid from a Cartesian gridder.</p></li>
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Tuple of arrays containing the coordinates of the grid in the
 following order: (easting, northing, vertical, …).
 The easting and northing arrays could be 1d or 2d arrays, if
 they are 2d they must be part of a meshgrid.
@@ -1054,7 +742,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 are ignored.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>grid</strong> (<em>xarray.Dataset</em>) – The interpolated grid. Metadata about the interpolator is written
 to the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> attribute.</p>
 </dd>
@@ -1070,16 +758,16 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.predict">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard.predict" title="Link to this definition">#</a></dt>
 <dd><p>Evaluate the checkerboard function on a given set of points.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …). Only easting
 and northing will be used, all subsequent coordinates will be
 ignored.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>data</strong> (<em>array</em>) – The evaluated checkerboard function.</p>
 </dd>
 </dl>
@@ -1087,7 +775,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.profile">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.profile" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">point1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.profile" title="Link to this definition">#</a></dt>
 <dd><p>Interpolate data along a profile between two points.</p>
 <p>Generates the profile along a straight line assuming Cartesian
 distances. Point coordinates are generated by
@@ -1095,7 +783,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 can be passed as extra keyword arguments (<code class="docutils literal notranslate"><span class="pre">kwargs</span></code>) to this method.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <p>Includes the calculated Cartesian distance from <em>point1</em> for each data
 point in the profile.</p>
 <p>To specify <em>point1</em> and <em>point2</em> in a coordinate system that would
@@ -1122,20 +810,20 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 projected coordinates as well.</strong></p>
 </div>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
+<li><p><strong>point1</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the first
 point.</p></li>
-<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.11)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
+<li><p><strong>point2</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a>) – The easting and northing coordinates, respectively, of the second
 point.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1152,7 +840,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 results.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values along the profile.</p>
 </dd>
 </dl>
@@ -1160,7 +848,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.scatter">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard.scatter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard.scatter" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">projection</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/synthetic.html#CheckerBoard.scatter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.synthetic.CheckerBoard.scatter" title="Link to this definition">#</a></dt>
 <dd><p>Generate values on a random scatter of points.</p>
 <p>Point coordinates are generated by <a class="reference internal" href="verde.scatter_points.html#verde.scatter_points" title="verde.scatter_points"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.scatter_points</span></code></a>. Other
 arguments for this function can be passed as extra keyword arguments
@@ -1169,23 +857,23 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 be used if <code class="docutils literal notranslate"><span class="pre">region=None</span></code>.</p>
 <p>Use the <em>dims</em> and <em>data_names</em> arguments to set custom names for the
 dimensions and the data field(s) in the output
-<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
+<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>. Default names are provided.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>region</strong> (<em>list =</em><em> [</em><em>W</em><em>, </em><em>E</em><em>, </em><em>S</em><em>, </em><em>N</em><em>]</em>) – The west, east, south, and north boundaries of a given region.</p></li>
-<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.11)"><em>int</em></a>) – The number of points to generate.</p></li>
-<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.24)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
+<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The number of points to generate.</p></li>
+<li><p><strong>random_state</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState" title="(in NumPy v1.26)"><em>numpy.random.RandomState</em></a><em> or </em><em>an int seed</em>) – A random number generator used to define the state of the random
 permutations. Use a fixed seed to make sure computations are
 reproducible. Use <code class="docutils literal notranslate"><span class="pre">None</span></code> to choose a seed automatically
 (resulting in different numbers with each run).</p></li>
-<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
+<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The names of the northing and easting data dimensions,
 respectively, in the output dataframe. Default is determined from
 the <code class="docutils literal notranslate"><span class="pre">dims</span></code> attribute of the class. Must be defined in the
 following order: northing dimension, easting dimension.
 <strong>NOTE: This is an exception to the “easting” then
 “northing” pattern but is required for compatibility with xarray.</strong></p></li>
-<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.11)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
+<li><p><strong>data_names</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> or </em><em>None</em>) – The name(s) of the data variables in the output dataframe. Defaults
 to <code class="docutils literal notranslate"><span class="pre">'scalars'</span></code> for scalar data,
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component']</span></code> for 2D vector data, and
 <code class="docutils literal notranslate"><span class="pre">['east_component',</span> <span class="pre">'north_component',</span> <span class="pre">'vertical_component']</span></code> for
@@ -1199,7 +887,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 generate a geographic scatter from a Cartesian gridder.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>table</strong> (<em>pandas.DataFrame</em>) – The interpolated values on a random set of points.</p>
 </dd>
 </dl>
@@ -1207,7 +895,7 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.score">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.score" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.score" title="Link to this definition">#</a></dt>
 <dd><p>Score the gridder predictions against the given data.</p>
 <p>Calculates the R^2 coefficient of determination of between the
 predicted values and the given data values. A maximum score of 1 means
@@ -1223,111 +911,290 @@ <h1>verde.synthetic.CheckerBoard<a class="headerlink" href="#verde-synthetic-che
 <p>If the data has more than 1 component, the scores of each component
 will be averaged.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).
 For the specific definition of coordinate systems and what these
 names mean, see the class docstring.</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – The data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – The data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each
 component).</p></li>
-<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – If not None, then the weights assigned to each data point. If more
+<li><p><strong>weights</strong> (<em>None</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – If not None, then the weights assigned to each data point. If more
 than one data component is provided, you must provide a weights
 array for each data component (if not None).</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>score</strong> (<em>float</em>) – The R^2 score</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.set_fit_request">
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><span class="pre">CheckerBoard</span></a></span></span><a class="headerlink" href="#verde.synthetic.CheckerBoard.set_fit_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.set_params">
-<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.set_params" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#verde.synthetic.CheckerBoard.set_params" title="Link to this definition">#</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
-(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
+(such as <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>). The latter have
 parameters of the form <code class="docutils literal notranslate"><span class="pre">&lt;component&gt;__&lt;parameter&gt;</span></code> so that it’s
 possible to update each component of a nested object.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
-<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.11)"><em>dict</em></a>) – Estimator parameters.</p>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>**params</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Estimator parameters.</p>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>self</strong> (<em>estimator instance</em>) – Estimator instance.</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.set_predict_request">
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><span class="pre">CheckerBoard</span></a></span></span><a class="headerlink" href="#verde.synthetic.CheckerBoard.set_predict_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="verde.synthetic.CheckerBoard.set_score_request">
+<span class="sig-prename descclassname"><span class="pre">CheckerBoard.</span></span><span class="sig-name descname"><span class="pre">set_score_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coordinates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><span class="pre">CheckerBoard</span></a></span></span><a class="headerlink" href="#verde.synthetic.CheckerBoard.set_score_request" title="Link to this definition">#</a></dt>
+<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">score</span></code> method.</p>
+<p>Note that this method is only relevant if
+<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.set_config.html#sklearn.set_config" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config</span></code></a>).
+Please see <a class="reference external" href="https://scikit-learn.org/stable/metadata_routing.html#metadata-routing" title="(in scikit-learn v1.4)"><span class="xref std std-ref">User Guide</span></a> on how the routing
+mechanism works.</p>
+<p>The options for each parameter are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">score</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
+</ul>
+<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
+existing request. This allows you to change the request for some
+parameters and not others.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 1.3.</span></p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This method is only relevant if this estimator is used as a
+sub-estimator of a meta-estimator, e.g. used inside a
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code></a>. Otherwise it has no effect.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">data</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+<li><p><strong>weights</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>,                     </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">weights</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">score</span></code>.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>self</strong> (<em>object</em>) – The updated object.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <section id="examples-using-verde-synthetic-checkerboard">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.synthetic.CheckerBoard</span></code><a class="headerlink" href="#examples-using-verde-synthetic-checkerboard" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><figure class="align-default" id="id1">
-<img alt="Checkerboard function" src="../../_images/sphx_glr_checkerboard_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id2">
-<img alt="Projection of gridded data" src="../../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><figure class="align-default" id="id3">
-<img alt="Overview" src="../../_images/sphx_glr_overview_thumb.png" />
-<figcaption>
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-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.synthetic.CheckerBoard</span></code><a class="headerlink" href="#examples-using-verde-synthetic-checkerboard" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><img alt="" src="../../_images/sphx_glr_checkerboard_thumb.png" />
+<p><a class="reference internal" href="../../gallery/checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Checkerboard function</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="../../gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><img alt="" src="../../_images/sphx_glr_overview_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Overview</div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard"><code class="docutils literal notranslate"><span class="pre">CheckerBoard</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.filter"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.filter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.fit"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.fit</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.get_metadata_routing"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.get_metadata_routing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.get_params"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.get_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.grid"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.grid</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.predict"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.predict</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.profile"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.profile</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.scatter"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.scatter</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.score"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.score</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.set_fit_request"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.set_fit_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.set_params"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.set_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.set_predict_request"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.set_predict_request</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#verde.synthetic.CheckerBoard.set_score_request"><code class="docutils literal notranslate"><span class="pre">CheckerBoard.set_score_request</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-synthetic-checkerboard">Examples using <code class="docutils literal notranslate"><span class="pre">verde.synthetic.CheckerBoard</span></code></a></li>
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diff --git a/dev/api/generated/verde.train_test_split.html b/dev/api/generated/verde.train_test_split.html
index f5886d819..49c05b628 100644
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-     Blocked reduction operations
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-     Using weights in blocked reduction
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-     Using weights in blocked means
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+<li class="toctree-l1"><a class="reference internal" href="../../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/project_grid.html">Projection of gridded data</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
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   <section id="verde-train-test-split">
-<h1>verde.train_test_split<a class="headerlink" href="#verde-train-test-split" title="Permalink to this headline">#</a></h1>
+<h1>verde.train_test_split<a class="headerlink" href="#verde-train-test-split" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.train_test_split">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">train_test_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#train_test_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.train_test_split" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">train_test_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coordinates</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/model_selection.html#train_test_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.train_test_split" title="Link to this definition">#</a></dt>
 <dd><p>Split a dataset into a training and a testing set for cross-validation.</p>
-<p>Similar to <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a> but is tuned to
+<p>Similar to <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a> but is tuned to
 work on single- or multi-component spatial data with optional weights.</p>
 <p>If arguments <em>shape</em> or <em>spacing</em> are provided, will group the data by
 spatial blocks before random splitting (using
 <a class="reference internal" href="verde.BlockShuffleSplit.html#verde.BlockShuffleSplit" title="verde.BlockShuffleSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockShuffleSplit</span></code></a> instead of
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>). The argument <em>spacing</em>
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>). The argument <em>spacing</em>
 specifies the size of the spatial blocks. Alternatively, use <em>shape</em> to
 specify the number of blocks in each dimension.</p>
 <p>Extra keyword arguments will be passed to the cross-validation class. The
@@ -867,16 +518,16 @@ <h1>verde.train_test_split<a class="headerlink" href="#verde-train-test-split" t
 use spatial blocking, you <strong>must provide</strong> a <em>spacing</em> or <em>shape</em> argument
 (see below).</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>coordinates</strong> (<em>tuple of arrays</em>) – Arrays with the coordinates of each data point. Should be in the
+<li><p><strong>coordinates</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – Arrays with the coordinates of each data point. Should be in the
 following order: (easting, northing, vertical, …).</p></li>
-<li><p><strong>data</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – the data values of each data point. If the data has more than one
+<li><p><strong>data</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – the data values of each data point. If the data has more than one
 component, <em>data</em> must be a tuple of arrays (one for each component).</p></li>
-<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><em>tuple of arrays</em>) – if not none, then the weights assigned to each data point. If more than
+<li><p><strong>weights</strong> (<em>none</em><em> or </em><em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – if not none, then the weights assigned to each data point. If more than
 one data component is provided, you must provide a weights array for
 each data component (if not none).</p></li>
-<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The spatial block size in the South-North and West-East directions,
+<li><p><strong>spacing</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>tuple =</em><em> (</em><em>s_north</em><em>, </em><em>s_east</em><em>)</em><em>, or </em><em>None</em>) – The spatial block size in the South-North and West-East directions,
 respectively. A single value means that the spacing is equal in both
 directions. If None, then <em>shape</em> must be provided in order to use
 spatial blocking.</p></li>
@@ -885,7 +536,7 @@ <h1>verde.train_test_split<a class="headerlink" href="#verde-train-test-split" t
 spatial blocking.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>train, test</strong> (<em>tuples</em>) – Each is a tuple = (coordinates, data, weights) generated by separating
 the input values randomly.</p>
 </dd>
@@ -981,90 +632,126 @@ <h1>verde.train_test_split<a class="headerlink" href="#verde-train-test-split" t
 </dd></dl>
 
 <section id="examples-using-verde-train-test-split">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.train_test_split</span></code><a class="headerlink" href="#examples-using-verde-train-test-split" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id2">
-<img alt="Gridding with splines" src="../../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id3">
-<img alt="Gridding with splines and weights" src="../../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><figure class="align-default" id="id4">
-<img alt="Splitting data into train and test sets" src="../../_images/sphx_glr_train_test_split_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id5">
-<img alt="Gridding 2D vectors" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id6">
-<img alt="Evaluating Performance" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id7">
-<img alt="Vector Data" src="../../_images/sphx_glr_vectors_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.train_test_split</span></code><a class="headerlink" href="#examples-using-verde-train-test-split" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="../../gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><img alt="" src="../../_images/sphx_glr_train_test_split_thumb.png" />
+<p><a class="reference internal" href="../../gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Splitting data into train and test sets</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples-using-verde-train-test-split">Examples using <code class="docutils literal notranslate"><span class="pre">verde.train_test_split</span></code></a></li>
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diff --git a/dev/api/generated/verde.variance_to_weights.html b/dev/api/generated/verde.variance_to_weights.html
index 433896854..dd02435b5 100644
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+++ b/dev/api/generated/verde.variance_to_weights.html
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   <section id="verde-variance-to-weights">
-<h1>verde.variance_to_weights<a class="headerlink" href="#verde-variance-to-weights" title="Permalink to this headline">#</a></h1>
+<h1>verde.variance_to_weights<a class="headerlink" href="#verde-variance-to-weights" title="Link to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="verde.variance_to_weights">
-<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">variance_to_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-15</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#variance_to_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.variance_to_weights" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">verde.</span></span><span class="sig-name descname"><span class="pre">variance_to_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-15</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float64'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/verde/utils.html#variance_to_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#verde.variance_to_weights" title="Link to this definition">#</a></dt>
 <dd><p>Converts data variances to weights for gridding.</p>
 <p>Weights are defined as the inverse of the variance, scaled to the range
 [0, 1], i.e. <code class="docutils literal notranslate"><span class="pre">variance.min()/variance</span></code>.</p>
 <p>Any variance that is smaller than <em>tol</em> will automatically receive a weight
 of 1 to avoid zero division or blown up weights.</p>
 <dl class="field-list simple">
-<dt class="field-odd">Parameters</dt>
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>variance</strong> (<em>array</em><em> or </em><em>tuple of arrays</em>) – An array with the variance of each point. If there are multiple arrays
+<li><p><strong>variance</strong> (<em>array</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>arrays</em>) – An array with the variance of each point. If there are multiple arrays
 in a tuple, will calculated weights for each of them separately. Can
 have NaNs but they will be converted to zeros and therefore receive a
 weight of 1.</p></li>
-<li><p><strong>tol</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.11)"><em>float</em></a>) – The tolerance, or cutoff threshold, for small variances.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the output weights array.</p></li>
+<li><p><strong>tol</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The tolerance, or cutoff threshold, for small variances.</p></li>
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>numpy dtype</em>) – The type of the output weights array.</p></li>
 </ul>
 </dd>
-<dt class="field-even">Returns</dt>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><strong>weights</strong> (<em>array or tuple of arrays</em>) – Data weights in the range [0, 1] with the same shape as <em>variance</em>. If
 more than one variance array was provided, then this will be a tuple
 with the weights corresponding to each variance array.</p>
@@ -884,66 +535,114 @@ <h1>verde.variance_to_weights<a class="headerlink" href="#verde-variance-to-weig
 </dd></dl>
 
 <section id="examples-using-verde-variance-to-weights">
-<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.variance_to_weights</span></code><a class="headerlink" href="#examples-using-verde-variance-to-weights" title="Permalink to this headline">#</a></h2>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id1">
-<img alt="Trends in vector data" src="../../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id2">
-<img alt="Using Weights" src="../../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div style='clear:both'></div></section>
+<h2>Examples using <code class="docutils literal notranslate"><span class="pre">verde.variance_to_weights</span></code><a class="headerlink" href="#examples-using-verde-variance-to-weights" title="Link to this heading">#</a></h2>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="../../gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="../../tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div style='clear:both'></div></section>
 </section>
 
 
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+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../install.html">
-   Installing
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- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../gallery/index.html">
-   Gallery
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-  <ul>
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-    <a class="reference internal" href="../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 current active has-children">
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-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.Linear.html">
-     verde.Linear
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-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
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-     verde.VectorSpline2D
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-     verde.BlockReduce
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-     verde.BlockMean
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-     verde.Trend
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-     verde.Chain
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-     verde.Vector
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-     verde.train_test_split
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-     verde.cross_val_score
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-     verde.BlockShuffleSplit
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-     verde.BlockKFold
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-    <a class="reference internal" href="generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-    <a class="reference internal" href="generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.scatter_points.html">
-     verde.scatter_points
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-   </li>
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-    <a class="reference internal" href="generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.pad_region.html">
-     verde.pad_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
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-    <a class="reference internal" href="generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.load_surfer.html">
-     verde.load_surfer
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-    <a class="reference internal" href="generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
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-    <a class="reference internal" href="generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   </li>
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-    <a class="reference internal" href="generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-    <a class="reference internal" href="generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   </li>
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-     verde.datasets.fetch_california_gps
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-    <a class="reference internal" href="generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
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- </li>
+<li class="toctree-l1 current active has-children"><a class="current reference internal" href="#">List of functions and classes (API)</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="generated/verde.Vector.html">verde.Vector</a></li>
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-<!-- Table of contents -->
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- <li class="toc-h2 nav-item toc-entry">
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-   Interpolators
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-  <a class="reference internal nav-link" href="#data-processing">
-   Data Processing
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-   Composite Estimators
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>List of functions and classes (API)</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interpolators">Interpolators</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-processing">Data Processing</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#composite-estimators">Composite Estimators</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#model-selection">Model Selection</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#coordinate-manipulation">Coordinate Manipulation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#projection">Projection</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#masking">Masking</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#utilities">Utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#input-output">Input/Output</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#synthetic-data">Synthetic data</a></li>
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- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#interpolators">
-   Interpolators
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-  <a class="reference internal nav-link" href="#data-processing">
-   Data Processing
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-   Projection
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#masking">
-   Masking
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#utilities">
-   Utilities
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#input-output">
-   Input/Output
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#synthetic-data">
-   Synthetic data
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#base-classes-and-functions">
-   Base Classes and Functions
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#deprecated-classes-and-functions">
-   Deprecated classes and functions
-  </a>
- </li>
-</ul>
+</div>
 
-                        </nav>
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="module-verde">
-<span id="list-of-functions-and-classes-api"></span><span id="api"></span><h1>List of functions and classes (API)<a class="headerlink" href="#module-verde" title="Permalink to this headline">#</a></h1>
+<span id="list-of-functions-and-classes-api"></span><span id="api"></span><h1>List of functions and classes (API)<a class="headerlink" href="#module-verde" title="Link to this heading">#</a></h1>
 <section id="interpolators">
-<h2>Interpolators<a class="headerlink" href="#interpolators" title="Permalink to this headline">#</a></h2>
+<h2>Interpolators<a class="headerlink" href="#interpolators" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Spline</span></code></a>([mindist, damping, force_coords, engine])</p></td>
 <td><p>Biharmonic spline interpolation using Green's functions.</p></td>
@@ -975,12 +532,8 @@ <h2>Interpolators<a class="headerlink" href="#interpolators" title="Permalink to
 </table>
 </section>
 <section id="data-processing">
-<h2>Data Processing<a class="headerlink" href="#data-processing" title="Permalink to this headline">#</a></h2>
+<h2>Data Processing<a class="headerlink" href="#data-processing" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BlockReduce</span></code></a>(reduction[, spacing, region, ...])</p></td>
 <td><p>Apply a reduction/aggregation operation to the data in blocks/windows.</p></td>
@@ -995,12 +548,8 @@ <h2>Data Processing<a class="headerlink" href="#data-processing" title="Permalin
 </table>
 </section>
 <section id="composite-estimators">
-<h2>Composite Estimators<a class="headerlink" href="#composite-estimators" title="Permalink to this headline">#</a></h2>
+<h2>Composite Estimators<a class="headerlink" href="#composite-estimators" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chain</span></code></a>(steps)</p></td>
 <td><p>Chain filtering operations to fit on each subsequent output.</p></td>
@@ -1012,12 +561,8 @@ <h2>Composite Estimators<a class="headerlink" href="#composite-estimators" title
 </table>
 </section>
 <section id="model-selection">
-<h2>Model Selection<a class="headerlink" href="#model-selection" title="Permalink to this headline">#</a></h2>
+<h2>Model Selection<a class="headerlink" href="#model-selection" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_test_split</span></code></a>(coordinates, data[, ...])</p></td>
 <td><p>Split a dataset into a training and a testing set for cross-validation.</p></td>
@@ -1035,12 +580,8 @@ <h2>Model Selection<a class="headerlink" href="#model-selection" title="Permalin
 </table>
 </section>
 <section id="coordinate-manipulation">
-<h2>Coordinate Manipulation<a class="headerlink" href="#coordinate-manipulation" title="Permalink to this headline">#</a></h2>
+<h2>Coordinate Manipulation<a class="headerlink" href="#coordinate-manipulation" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.line_coordinates.html#verde.line_coordinates" title="verde.line_coordinates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_coordinates</span></code></a>(start, stop[, size, ...])</p></td>
 <td><p>Generate evenly spaced points between two values.</p></td>
@@ -1076,12 +617,8 @@ <h2>Coordinate Manipulation<a class="headerlink" href="#coordinate-manipulation"
 </table>
 </section>
 <section id="projection">
-<h2>Projection<a class="headerlink" href="#projection" title="Permalink to this headline">#</a></h2>
+<h2>Projection<a class="headerlink" href="#projection" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.project_region.html#verde.project_region" title="verde.project_region"><code class="xref py py-obj docutils literal notranslate"><span class="pre">project_region</span></code></a>(region, projection)</p></td>
 <td><p>Calculate the bounding box of a region in projected coordinates.</p></td>
@@ -1093,12 +630,8 @@ <h2>Projection<a class="headerlink" href="#projection" title="Permalink to this
 </table>
 </section>
 <section id="masking">
-<h2>Masking<a class="headerlink" href="#masking" title="Permalink to this headline">#</a></h2>
+<h2>Masking<a class="headerlink" href="#masking" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_mask</span></code></a>(data_coordinates, maxdist[, ...])</p></td>
 <td><p>Mask grid points that are too far from the given data points.</p></td>
@@ -1110,12 +643,8 @@ <h2>Masking<a class="headerlink" href="#masking" title="Permalink to this headli
 </table>
 </section>
 <section id="utilities">
-<h2>Utilities<a class="headerlink" href="#utilities" title="Permalink to this headline">#</a></h2>
+<h2>Utilities<a class="headerlink" href="#utilities" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maxabs</span></code></a>(*args[, nan])</p></td>
 <td><p>Calculate the maximum absolute value of the given array(s).</p></td>
@@ -1127,7 +656,7 @@ <h2>Utilities<a class="headerlink" href="#utilities" title="Permalink to this he
 <td><p>Convert a grid to a table with the values and coordinates of each point.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="generated/verde.make_xarray_grid.html#verde.make_xarray_grid" title="verde.make_xarray_grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_xarray_grid</span></code></a>(coordinates, data, data_names)</p></td>
-<td><p>Create an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid from 2D numpy arrays</p></td>
+<td><p>Create an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a> grid from 2D numpy arrays</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.median_distance.html#verde.median_distance" title="verde.median_distance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">median_distance</span></code></a>(coordinates[, k_nearest, ...])</p></td>
 <td><p>Median distance between the <em>k</em> nearest neighbors of each point.</p></td>
@@ -1136,26 +665,18 @@ <h2>Utilities<a class="headerlink" href="#utilities" title="Permalink to this he
 </table>
 </section>
 <section id="input-output">
-<h2>Input/Output<a class="headerlink" href="#input-output" title="Permalink to this headline">#</a></h2>
+<h2>Input/Output<a class="headerlink" href="#input-output" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.load_surfer.html#verde.load_surfer" title="verde.load_surfer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_surfer</span></code></a>(fname[, dtype])</p></td>
 <td><p>Read data from a Surfer ASCII grid file.</p></td>
 </tr>
 </tbody>
 </table>
-<span class="target" id="module-verde.synthetic"></span></section>
+</section>
 <section id="synthetic-data">
-<h2>Synthetic data<a class="headerlink" href="#synthetic-data" title="Permalink to this headline">#</a></h2>
+<span id="module-verde.synthetic"></span><h2>Synthetic data<a class="headerlink" href="#synthetic-data" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">synthetic.CheckerBoard</span></code></a>([amplitude, region, ...])</p></td>
 <td><p>Generate synthetic data in a checkerboard pattern.</p></td>
@@ -1164,12 +685,8 @@ <h2>Synthetic data<a class="headerlink" href="#synthetic-data" title="Permalink
 </table>
 </section>
 <section id="base-classes-and-functions">
-<h2>Base Classes and Functions<a class="headerlink" href="#base-classes-and-functions" title="Permalink to this headline">#</a></h2>
+<h2>Base Classes and Functions<a class="headerlink" href="#base-classes-and-functions" title="Link to this heading">#</a></h2>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.base.BaseGridder.html#verde.base.BaseGridder" title="verde.base.BaseGridder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base.BaseGridder</span></code></a>()</p></td>
 <td><p>Base class for gridders.</p></td>
@@ -1190,14 +707,10 @@ <h2>Base Classes and Functions<a class="headerlink" href="#base-classes-and-func
 </table>
 </section>
 <section id="deprecated-classes-and-functions">
-<h2>Deprecated classes and functions<a class="headerlink" href="#deprecated-classes-and-functions" title="Permalink to this headline">#</a></h2>
+<h2>Deprecated classes and functions<a class="headerlink" href="#deprecated-classes-and-functions" title="Link to this heading">#</a></h2>
 <p>The following classes and functions are deprecated and <strong>will be removed in
 Verde 2.0.0</strong>. Alternatives are provided in the function/class docstrings.</p>
 <table class="autosummary longtable table autosummary">
-<colgroup>
-<col style="width: 10%" />
-<col style="width: 90%" />
-</colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/verde.ScipyGridder.html#verde.ScipyGridder" title="verde.ScipyGridder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScipyGridder</span></code></a>([method, extra_args])</p></td>
 <td><p>A scipy.interpolate based gridder for scalar Cartesian data.</p></td>
@@ -1235,49 +748,113 @@ <h2>Deprecated classes and functions<a class="headerlink" href="#deprecated-clas
 </section>
 
 
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interpolators">Interpolators</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-processing">Data Processing</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#composite-estimators">Composite Estimators</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#model-selection">Model Selection</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#coordinate-manipulation">Coordinate Manipulation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#projection">Projection</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#masking">Masking</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#utilities">Utilities</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#input-output">Input/Output</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#synthetic-data">Synthetic data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#base-classes-and-functions">Base Classes and Functions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#deprecated-classes-and-functions">Deprecated classes and functions</a></li>
+</ul>
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diff --git a/dev/changes.html b/dev/changes.html
index 6c12f1b3f..87b5eab3e 100644
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+++ b/dev/changes.html
@@ -2,51 +2,61 @@
 
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+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery.css?v=61a4c737" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css?v=44687e0a" />
+  
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/doctools.js"></script>
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-    <script src="_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="_static/favicon.png"/>
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'changes';</script>
+    <link rel="icon" href="_static/favicon.png"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Version compatibility" href="compatibility.html" />
@@ -55,888 +65,448 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
-      
-      <img src="_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
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-     verde.convexhull_mask
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-   <li class="toctree-l2">
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-     verde.maxabs
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+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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   <section id="changelog">
-<span id="changes"></span><h1>Changelog<a class="headerlink" href="#changelog" title="Permalink to this headline">#</a></h1>
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 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.3877060">https://doi.org/10.5281/zenodo.3877060</a></p>
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 <p>Released on: 2020/04/06</p>
 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.3739449">https://doi.org/10.5281/zenodo.3739449</a></p>
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 <p>Released on: 2020/01/22</p>
 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.3620851">https://doi.org/10.5281/zenodo.3620851</a></p>
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 <p>Released on: 2019/07/23</p>
 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.3347076">https://doi.org/10.5281/zenodo.3347076</a></p>
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+<h2>Version 1.1.0<a class="headerlink" href="#version-1-1-0" title="Link to this heading">#</a></h2>
 <p>Released on: 2018/11/06</p>
 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.1478245">https://doi.org/10.5281/zenodo.1478245</a></p>
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-<h2>Version 1.0.1<a class="headerlink" href="#version-1-0-1" title="Permalink to this headline">#</a></h2>
+<h2>Version 1.0.1<a class="headerlink" href="#version-1-0-1" title="Link to this heading">#</a></h2>
 <p>Released on: 2018/10/10</p>
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 <p>Released on: 2018/09/13</p>
 <p>DOI: <a class="reference external" href="https://doi.org/10.5281/zenodo.1415281">https://doi.org/10.5281/zenodo.1415281</a></p>
 <ul class="simple">
@@ -1432,49 +1002,112 @@ <h2>Version 1.0.0<a class="headerlink" href="#version-1-0-0" title="Permalink to
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diff --git a/dev/citing.html b/dev/citing.html
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+++ b/dev/citing.html
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-    <a class="reference internal" href="gallery/vector_uncoupled.html">
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+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
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+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
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 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
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 </ul>
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 <ul class="current nav bd-sidenav">
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-     verde.project_grid
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-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
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-     verde.convexhull_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
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-     verde.variance_to_weights
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-   <li class="toctree-l2">
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-     verde.grid_to_table
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-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
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-     verde.base.BaseGridder
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Citing Verde</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Citing Verde</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
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-                        
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-                
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+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="citing-verde">
-<span id="citing"></span><h1>Citing Verde<a class="headerlink" href="#citing-verde" title="Permalink to this headline">#</a></h1>
+<span id="citing"></span><h1>Citing Verde<a class="headerlink" href="#citing-verde" title="Link to this heading">#</a></h1>
 <p>This is research software <strong>made by scientists</strong>. Citations help us justify the effort
 that goes into building and maintaining this project.</p>
 <p>If you used Verde in your research, please consider citing our paper:</p>
@@ -808,65 +495,105 @@ <h1>Citing Verde</h1>
 <p>This is an open-access publication and can be freely downloaded from
 <a class="reference external" href="https://doi.org/10.21105/joss.00957">https://doi.org/10.21105/joss.00957</a></p>
 <p>Here is a Bibtex entry to make things easier if you’re using Latex:</p>
-<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">uieda2018</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{{Verde}: {Processing} and gridding spatial data using {Green&#39;s} functions}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Uieda, Leonardo}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2018}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Journal of Open Source Software}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">volume</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{3}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">number</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{29}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">pages</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{957}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">issn</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2475-9066}</span><span class="p">,</span><span class="w"></span>
-<span class="w">  </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.21105/joss.00957}</span><span class="p">,</span><span class="w"></span>
-<span class="p">}</span><span class="w"></span>
+<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">uieda2018</span><span class="p">,</span>
+<span class="w">  </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{{Verde}: {Processing} and gridding spatial data using {Green&#39;s} functions}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Uieda, Leonardo}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2018}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">journal</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Journal of Open Source Software}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">volume</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{3}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">number</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{29}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">pages</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{957}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">issn</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2475-9066}</span><span class="p">,</span>
+<span class="w">  </span><span class="na">doi</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{10.21105/joss.00957}</span><span class="p">,</span>
+<span class="p">}</span>
 </pre></div>
 </div>
 </section>
 
 
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diff --git a/dev/compatibility.html b/dev/compatibility.html
index 5eca8f595..a2a645a68 100644
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+++ b/dev/compatibility.html
@@ -2,51 +2,61 @@
 
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+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
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+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
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+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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@@ -55,808 +65,440 @@
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+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
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+      <div class="bd-sidebar-primary bd-sidebar">
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+<a class="navbar-brand logo" href="index.html">
+  
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+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
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+        <div class="sidebar-primary-item">
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+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
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- <li class="toctree-l1">
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-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
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-     Checkerboard function
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-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
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-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
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-   Evaluating Performance
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- </li>
- <li class="toctree-l1">
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-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 has-children">
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-     verde.Spline
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-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
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-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
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-     verde.Cubic
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-     verde.Chain
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-     verde.Vector
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-     verde.BlockKFold
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-     verde.scatter_points
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-     verde.profile_coordinates
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-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
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-     verde.pad_region
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-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
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-     verde.block_split
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-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
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-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
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-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
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-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
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-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
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-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
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-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
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-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-   </li>
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-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
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-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
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-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
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-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
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-   References
-  </a>
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   <section id="version-compatibility">
-<span id="compatibility"></span><h1>Version compatibility<a class="headerlink" href="#version-compatibility" title="Permalink to this headline">#</a></h1>
+<span id="compatibility"></span><h1>Version compatibility<a class="headerlink" href="#version-compatibility" title="Link to this heading">#</a></h1>
 <section id="verde-version-compatibility">
-<h2>Verde version compatibility<a class="headerlink" href="#verde-version-compatibility" title="Permalink to this headline">#</a></h2>
+<h2>Verde version compatibility<a class="headerlink" href="#verde-version-compatibility" title="Link to this heading">#</a></h2>
 <p>Verde uses <a class="reference external" href="https://semver.org/">semantic versioning</a> (i.e.,
 <code class="docutils literal notranslate"><span class="pre">MAJOR.MINOR.BUGFIX</span></code> format).</p>
 <ul class="simple">
@@ -871,7 +513,7 @@ <h2>Verde version compatibility<a class="headerlink" href="#verde-version-compat
 breaking changes to give users a chance to upgrade.</p>
 </section>
 <section id="supported-dependency-versions">
-<span id="dependency-versions"></span><h2>Supported dependency versions<a class="headerlink" href="#supported-dependency-versions" title="Permalink to this headline">#</a></h2>
+<span id="dependency-versions"></span><h2>Supported dependency versions<a class="headerlink" href="#supported-dependency-versions" title="Link to this heading">#</a></h2>
 <p>Verde follows the recommendations in
 <a class="reference external" href="https://numpy.org/neps/nep-0029-deprecation_policy.html">NEP29</a> for setting
 the minimum required version of our dependencies.
@@ -887,13 +529,13 @@ <h2>Verde version compatibility<a class="headerlink" href="#verde-version-compat
 </div>
 </section>
 <section id="supported-python-versions">
-<span id="python-versions"></span><h2>Supported Python versions<a class="headerlink" href="#supported-python-versions" title="Permalink to this headline">#</a></h2>
+<span id="python-versions"></span><h2>Supported Python versions<a class="headerlink" href="#supported-python-versions" title="Link to this heading">#</a></h2>
 <p>If you require support for older Python versions, please pin Verde to the
 following releases to ensure compatibility:</p>
-<table class="colwidths-given table">
+<table class="table">
 <colgroup>
-<col style="width: 40%" />
-<col style="width: 60%" />
+<col style="width: 40.0%" />
+<col style="width: 60.0%" />
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><strong>Python version</strong></p></td>
@@ -902,55 +544,116 @@ <h2>Verde version compatibility<a class="headerlink" href="#verde-version-compat
 <tr class="row-even"><td><p>3.6</p></td>
 <td><p>1.7.0</p></td>
 </tr>
+<tr class="row-odd"><td><p>3.7</p></td>
+<td><p>1.8.0</p></td>
+</tr>
+<tr class="row-even"><td><p>3.8</p></td>
+<td><p>1.8.0</p></td>
+</tr>
 </tbody>
 </table>
 </section>
 </section>
 
 
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diff --git a/dev/gallery/blockkfold.html b/dev/gallery/blockkfold.html
index 9f5eb2a41..8e4a037d7 100644
--- a/dev/gallery/blockkfold.html
+++ b/dev/gallery/blockkfold.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../" >
+
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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+    <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../_static/doctools.js?v=888ff710"></script>
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+    <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
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+    <script>DOCUMENTATION_OPTIONS.pagename = 'gallery/blockkfold';</script>
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+  
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+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>K-Fold cross-validation with blocks</h1>
+    <!-- Table of contents -->
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-    <div class="article row">
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-                <h1>K-Fold cross-validation with blocks</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-blockkfold-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-blockkfold-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="k-fold-cross-validation-with-blocks">
-<span id="sphx-glr-gallery-blockkfold-py"></span><h1>K-Fold cross-validation with blocks<a class="headerlink" href="#k-fold-cross-validation-with-blocks" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-blockkfold-py"></span><h1>K-Fold cross-validation with blocks<a class="headerlink" href="#k-fold-cross-validation-with-blocks" title="Link to this heading">#</a></h1>
 <p>Cross-validation scores for spatial data can be biased because observations are
 commonly spatially autocorrelated (closer data points have similar values). One
 strategy to reduce the bias is to split data along spatial blocks
@@ -822,7 +509,7 @@ <h1>K-Fold cross-validation with blocks</h1>
 <p>This example shows the data assigned to each of the first 3 folds of a blocked
 k-fold iteration, with and without balancing. Notice that the unbalanced folds
 have very different numbers of data points.</p>
-<img src="../_images/sphx_glr_blockkfold_001.png" srcset="../_images/sphx_glr_blockkfold_001.png" alt="Balanced fold 0 (16335 testing points), Balanced fold 1 (16533 testing points), Balanced fold 2 (16667 testing points), Unbalanced fold 0 (14556 testing points), Unbalanced fold 1 (12955 testing points), Unbalanced fold 2 (16668 testing points)" class = "sphx-glr-single-img"/><div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<img src="../_images/sphx_glr_blockkfold_001.png" srcset="../_images/sphx_glr_blockkfold_001.png" alt="Balanced fold 0 (16335 testing points), Balanced fold 1 (16533 testing points), Balanced fold 2 (16667 testing points), Unbalanced fold 0 (14556 testing points), Unbalanced fold 1 (12955 testing points), Unbalanced fold 2 (16668 testing points)" class = "sphx-glr-single-img"/><div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
@@ -875,11 +562,11 @@ <h1>K-Fold cross-validation with blocks</h1>
     <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="p">)</span>
 <span class="k">for</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">row</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <span class="n">folds</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;Balanced&quot;</span><span class="p">,</span> <span class="s2">&quot;Unbalanced&quot;</span><span class="p">],</span> <span class="p">[</span><span class="n">balanced</span><span class="p">,</span> <span class="n">unbalanced</span><span class="p">]):</span>
-    <span class="k">for</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a><span class="p">,</span> <span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fold</span></a><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">row</span></a><span class="p">,</span> <span class="n">folds</span><span class="p">)):</span>
+    <span class="k">for</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a><span class="p">,</span> <span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fold</span></a><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">row</span></a><span class="p">,</span> <span class="n">folds</span><span class="p">)):</span>
         <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a> <span class="o">=</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fold</span></a>
         <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;</span><span class="si">{}</span><span class="s2"> fold </span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2"> testing points)&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span><span class="o">.</span><span class="n">size</span></a><span class="p">))</span>
         <span class="c1"># Use an utility function to setup the tick labels and the land feature</span>
-        <a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+        <a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
         <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span>
             <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">[</span><span class="mi">0</span><span class="p">][</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">],</span>
             <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">[</span><span class="mi">1</span><span class="p">][</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">],</span>
@@ -904,62 +591,102 @@ <h1>K-Fold cross-validation with blocks</h1>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  15.754 seconds)</p>
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-<p><a class="reference download internal" download="" href="../_downloads/e57b7da5b45cc0a29ae4beb7340409e3/blockkfold.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">blockkfold.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 18.201 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-blockkfold-py">
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+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/e57b7da5b45cc0a29ae4beb7340409e3/blockkfold.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">blockkfold.py</span></code></a></p>
+</div>
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diff --git a/dev/gallery/blockreduce.html b/dev/gallery/blockreduce.html
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+++ b/dev/gallery/blockreduce.html
@@ -2,51 +2,61 @@
 
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
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-   Overview
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-     Blocked reduction operations
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-     Using weights in blocked reduction
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-    <a class="reference internal" href="blockreduce_weights_mean.html">
-     Using weights in blocked means
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-     Checkerboard function
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-     Mask grid points by convex hull
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-     Gridding with a linear interpolator
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-     Projection of gridded data
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-     Gridding with splines
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-     Gridding with splines (cross-validated)
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-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
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-   <li class="toctree-l2">
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-     Splitting data into train and test sets
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-   </li>
-   <li class="toctree-l2">
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-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
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-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
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+    <h1>Blocked reduction operations</h1>
+    <!-- Table of contents -->
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+            
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-    <div class="article row">
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-                <h1>Blocked reduction operations</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="blocked-reduction-operations">
-<span id="sphx-glr-gallery-blockreduce-py"></span><h1>Blocked reduction operations<a class="headerlink" href="#blocked-reduction-operations" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-blockreduce-py"></span><h1>Blocked reduction operations<a class="headerlink" href="#blocked-reduction-operations" title="Link to this heading">#</a></h1>
 <p>When gridding data that has been highly oversampled in a direction (shipborne
 and airborne data, for example), it is important to decimate the data before
 interpolation to avoid aliasing. Class <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a> decimates
 data by applying a reduction operation (mean, median, mode, max, etc) to the
 data in blocks. For non-smooth data, like bathymetry, a blocked median filter
 is a good choice.</p>
-<img src="../_images/sphx_glr_blockreduce_001.png" srcset="../_images/sphx_glr_blockreduce_001.png" alt="10' Block Median Bathymetry" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Original data size: 82970
+<img src="../_images/sphx_glr_blockreduce_001.png" srcset="../_images/sphx_glr_blockreduce_001.png" alt="10' Block Median Bathymetry" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+Original data size: 82970
 Decimated data size: 1801
 </pre></div>
 </div>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
@@ -838,72 +532,112 @@ <h1>Blocked reduction operations</h1>
 
 <span class="c1"># Make a plot of the decimated data using Cartopy</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;10&#39; Block Median Bathymetry&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the bathymetry as colored circles.</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lon</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lat</span></a><span class="p">,</span> <span class="n">c</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bathymetry</span></a><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">()</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
 <span class="c1"># Use a utility function to setup the tick labels and land feature</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
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-     verde.SplineCV
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-     verde.ScipyGridder
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+    <h1>Using weights in blocked reduction</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
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-                <h1>Using weights in blocked reduction</h1>
-                <!-- Table of contents -->
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-                        
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+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-weights-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-weights-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="using-weights-in-blocked-reduction">
-<span id="sphx-glr-gallery-blockreduce-weights-py"></span><h1>Using weights in blocked reduction<a class="headerlink" href="#using-weights-in-blocked-reduction" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-blockreduce-weights-py"></span><h1>Using weights in blocked reduction<a class="headerlink" href="#using-weights-in-blocked-reduction" title="Link to this heading">#</a></h1>
 <p>Sometimes data has outliers or less reliable points that might skew a blocked
 mean or even a median. If the reduction function can take a <code class="docutils literal notranslate"><span class="pre">weights</span></code>
 argument, like <code class="docutils literal notranslate"><span class="pre">numpy.average</span></code>, you can pass in weights to
@@ -810,15 +497,33 @@ <h1>Using weights in blocked reduction</h1>
 However, <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a> can’t produce weights for the blocked data
 (for use by a gridder, for example). If you want to produced blocked weights as
 well, use <a class="reference internal" href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockMean</span></code></a>.</p>
-<img src="../_images/sphx_glr_blockreduce_weights_001.png" srcset="../_images/sphx_glr_blockreduce_weights_001.png" alt="No Weights, Weights" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Index of outliers: [1608 2347 1099 2408  674  433 1071 2452  124 1219 1126  938  875   51
+<img src="../_images/sphx_glr_blockreduce_weights_001.png" srcset="../_images/sphx_glr_blockreduce_weights_001.png" alt="No Weights, Weights" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/gallery_src/blockreduce_weights.py:30: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!
+You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.
+A typical example is when you are setting values in a column of a DataFrame, like:
+
+df[&quot;col&quot;][row_indexer] = value
+
+Use `df.loc[row_indexer, &quot;col&quot;] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.
+
+See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
+
+  data.velocity_up[outliers] += 0.08
+Index of outliers: [1608 2347 1099 2408  674  433 1071 2452  124 1219 1126  938  875   51
  2407  892  255 1349 1112 1326]
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
 </pre></div>
 </div>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
@@ -854,7 +559,7 @@ <h1>Using weights in blocked reduction</h1>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;No Weights&quot;</span><span class="p">,</span> <span class="s2">&quot;Weights&quot;</span><span class="p">]</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_up</span></a><span class="p">)</span>
-<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">,</span> <span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">no_weights</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">with_weights</span></a><span class="p">)):</span>
+<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">,</span> <span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">no_weights</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">with_weights</span></a><span class="p">)):</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">)</span>
     <span class="c1"># Plot the locations of the outliers</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span>
@@ -875,69 +580,109 @@ <h1>Using weights in blocked reduction</h1>
         <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">/</span> <span class="mi">3</span><span class="p">,</span>
         <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">/</span> <span class="mi">3</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar.set_label" title="matplotlib.colorbar.Colorbar.set_label" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-method"><span class="n">cb</span><span class="o">.</span><span class="n">set_label</span></a><span class="p">(</span><span class="s2">&quot;vertical velocity [m/yr]&quot;</span><span class="p">)</span>
-    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.legend.html#matplotlib.axes.Axes.legend" title="matplotlib.axes.Axes.legend" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">legend</span></a><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;lower left&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.489 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-blockreduce-weights-py">
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-<p><a class="reference download internal" download="" href="../_downloads/6efdf22d90751bf90dbcd1bc43ea5c11/blockreduce_weights.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">blockreduce_weights.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.561 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-blockreduce-weights-py">
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+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/6efdf22d90751bf90dbcd1bc43ea5c11/blockreduce_weights.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">blockreduce_weights.py</span></code></a></p>
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diff --git a/dev/gallery/blockreduce_weights_mean.html b/dev/gallery/blockreduce_weights_mean.html
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-     verde.BlockReduce
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-     verde.convexhull_mask
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-     verde.maxabs
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-     verde.grid_to_table
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-     verde.base.BaseGridder
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_rio_magnetic
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+    <h1>Using weights in blocked means</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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-                <h1>Using weights in blocked means</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-weights-mean-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="using-weights-in-blocked-means">
-<span id="sphx-glr-gallery-blockreduce-weights-mean-py"></span><h1>Using weights in blocked means<a class="headerlink" href="#using-weights-in-blocked-means" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-blockreduce-weights-mean-py"></span><h1>Using weights in blocked means<a class="headerlink" href="#using-weights-in-blocked-means" title="Link to this heading">#</a></h1>
 <p><a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a> is not able to output weights because we need to
 make assumptions about the reduction operation to know how to propagate
 uncertainties or calculated weighted variances. That’s why verde provides
@@ -825,7 +512,24 @@ <h1>Using weights in blocked means</h1>
 when there is a lot of variability in the data that isn’t due to the
 uncertainties. This is also the best choice if your data weights aren’t
 <code class="docutils literal notranslate"><span class="pre">1/uncertainty**2</span></code>.</p>
-<img src="../_images/sphx_glr_blockreduce_weights_mean_001.png" srcset="../_images/sphx_glr_blockreduce_weights_mean_001.png" alt="Variance weights, Uncertainty weights, Data uncertainty" class = "sphx-glr-single-img"/><div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<img src="../_images/sphx_glr_blockreduce_weights_mean_001.png" srcset="../_images/sphx_glr_blockreduce_weights_mean_001.png" alt="Variance weights, Uncertainty weights, Data uncertainty" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+</pre></div>
+</div>
+<div class="line-block">
+<div class="line"><br /></div>
+</div>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">from</span> <span class="nn">matplotlib.colors</span> <span class="kn">import</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.LogNorm.html#matplotlib.colors.LogNorm" title="matplotlib.colors.LogNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">LogNorm</span></a><span class="p">,</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.PowerNorm.html#matplotlib.colors.PowerNorm" title="matplotlib.colors.PowerNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">PowerNorm</span></a>
 
@@ -859,7 +563,7 @@ <h1>Using weights in blocked means</h1>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Variance weights&quot;</span><span class="p">,</span> <span class="s2">&quot;Uncertainty weights&quot;</span><span class="p">]</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weight_estimates</span></a> <span class="o">=</span> <span class="p">[</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">variance_weights</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">uncertainty_weights</span></a><span class="p">]</span>
-<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">w</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[:</span><span class="mi">2</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weight_estimates</span></a><span class="p">):</span>
+<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">w</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[:</span><span class="mi">2</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weight_estimates</span></a><span class="p">):</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">)</span>
     <span class="c1"># Plot the original data locations</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
@@ -868,10 +572,10 @@ <h1>Using weights in blocked means</h1>
     <a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
         <span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_coords</span></a><span class="p">,</span> <span class="n">c</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">w</span></a><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">70</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;magma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.LogNorm.html#matplotlib.colors.LogNorm" title="matplotlib.colors.LogNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">LogNorm</span></a><span class="p">()</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
-    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <span class="c1"># Plot the original data uncertainties</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Data uncertainty&quot;</span><span class="p">)</span>
 <span class="c1"># Use a power law for the color scale because there is a lot of variability</span>
 <span class="c1"># Convert m/year to mm/year to have smaller values on the color bar</span>
@@ -884,67 +588,107 @@ <h1>Using weights in blocked means</h1>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;magma&quot;</span><span class="p">,</span>
     <span class="n">norm</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.PowerNorm.html#matplotlib.colors.PowerNorm" title="matplotlib.colors.PowerNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">PowerNorm</span></a><span class="p">(</span><span class="n">gamma</span><span class="o">=</span><span class="mi">1</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;mm/yr&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pc</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;mm/yr&quot;</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.793 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-blockreduce-weights-mean-py">
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 <p><a class="reference download internal" download="" href="../_downloads/57be94f43850fc3b52940545161136d3/blockreduce_weights_mean.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">blockreduce_weights_mean.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/8090da9a29970a5fadf377c6a5783dc7/blockreduce_weights_mean.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">blockreduce_weights_mean.py</span></code></a></p>
+</div>
 </div>
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diff --git a/dev/gallery/checkerboard.html b/dev/gallery/checkerboard.html
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+++ b/dev/gallery/checkerboard.html
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+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
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+<form class="bd-search d-flex align-items-center"
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+      method="get">
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+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
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+</form></div>
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
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+<a class="navbar-brand logo" href="../index.html">
+  
+  
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+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
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+        <div class="sidebar-primary-item">
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+ document.write(`
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
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-  <a class="reference internal" href="../tutorials/trends.html">
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- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
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- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
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-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-     verde.Cubic
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-     verde.Vector
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-     verde.train_test_split
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-     verde.cross_val_score
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-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
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-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-     verde.get_region
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-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
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-     verde.block_split
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-     verde.rolling_window
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-     verde.expanding_window
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-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
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-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
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-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
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-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
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-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
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-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
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-   Citing Verde
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- <li class="toctree-l1">
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-   Documentation for other versions
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../changes.html">Changelog</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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+    <h1>Checkerboard function</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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-    <div class="article row">
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-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Checkerboard function</h1>
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-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-checkerboard-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-checkerboard-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="checkerboard-function">
-<span id="sphx-glr-gallery-checkerboard-py"></span><h1>Checkerboard function<a class="headerlink" href="#checkerboard-function" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-checkerboard-py"></span><h1>Checkerboard function<a class="headerlink" href="#checkerboard-function" title="Link to this heading">#</a></h1>
 <p>The <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.synthetic.CheckerBoard</span></code></a> class generates synthetic data in a
 checkerboard pattern. It has different data generation methods, some of which
 are shared with most other gridders: predict, grid, profile, and scatter.</p>
-<img src="../_images/sphx_glr_checkerboard_001.png" srcset="../_images/sphx_glr_checkerboard_001.png" alt="checkerboard" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>wavelengths (east, north): 2500.0 2500.0
-Checkerboard value at (easting=2000, northing=-2500): -951.0565162951538
+<img src="../_images/sphx_glr_checkerboard_001.png" srcset="../_images/sphx_glr_checkerboard_001.png" alt="checkerboard" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>wavelengths (east, north): 2500.0 2500.0
+Checkerboard value at (easting=2000, northing=-2500): -951.0565162951536
 
 Data grid:
  &lt;xarray.Dataset&gt;
@@ -833,7 +519,7 @@ <h1>Checkerboard function</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
 
@@ -859,70 +545,110 @@ <h1>Checkerboard function</h1>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Table of scattered data:</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head" title="pandas.DataFrame.head" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">table</span><span class="o">.</span><span class="n">head</span></a><span class="p">())</span>
 
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">5.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;CheckerBoard&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_aspect.html#matplotlib.axes.Axes.set_aspect" title="matplotlib.axes.Axes.set_aspect" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_aspect</span></a><span class="p">(</span><span class="s2">&quot;equal&quot;</span><span class="p">)</span>
-<a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">scalars</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+<a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">scalars</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tight_layout.html#matplotlib.pyplot.tight_layout" title="matplotlib.pyplot.tight_layout" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">(</span><span class="n">pad</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.121 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-checkerboard-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/7189e17621c58f3d888312f8e2d76156/checkerboard.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">checkerboard.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.113 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-checkerboard-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/33f59e3a2c271ac75bda1223ac7b1d53/checkerboard.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">checkerboard.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/7189e17621c58f3d888312f8e2d76156/checkerboard.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">checkerboard.py</span></code></a></p>
+</div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
 </section>
 
 
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+
+    <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
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+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'gallery/convex_hull_mask';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
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     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="Gridding with a cubic interpolator" href="cubic_gridder.html" />
@@ -55,760 +65,436 @@
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+  
 
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
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-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
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+  <div class="sidebar-header-items sidebar-primary__section">
+    
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+    
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
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+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
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+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
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-     Gridding with a cubic interpolator
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-    <a class="reference internal" href="distance_mask.html">
-     Mask grid points by distance
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-     Gridding with a nearest-neighbors interpolator
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-     Gridding with a linear interpolator
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-     Projection of gridded data
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-     Gridding with splines
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-     Gridding with splines (cross-validated)
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-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
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-     Splitting data into train and test sets
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-     Polynomial trend
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-     Trends in vector data
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-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
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- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
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- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
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- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
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-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-   </li>
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-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
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-   </li>
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-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
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-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   </li>
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-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Mask grid points by convex hull</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Mask grid points by convex hull</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-convex-hull-mask-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-convex-hull-mask-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="mask-grid-points-by-convex-hull">
-<span id="sphx-glr-gallery-convex-hull-mask-py"></span><h1>Mask grid points by convex hull<a class="headerlink" href="#mask-grid-points-by-convex-hull" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-convex-hull-mask-py"></span><h1>Mask grid points by convex hull<a class="headerlink" href="#mask-grid-points-by-convex-hull" title="Link to this heading">#</a></h1>
 <p>Sometimes, data points are unevenly distributed. In such cases, we might not
 want to have interpolated grid points that are too far from any data point.
 Function <a class="reference internal" href="../api/generated/verde.convexhull_mask.html#verde.convexhull_mask" title="verde.convexhull_mask"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.convexhull_mask</span></code></a> allows us to set grid points that fall
 outside of the convex hull of the data points to NaN or some other value.</p>
-<img src="../_images/sphx_glr_convex_hull_mask_001.png" srcset="../_images/sphx_glr_convex_hull_mask_001.png" alt="Only keep grid points that inside of the convex hull" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[False False False ... False False False]
+<img src="../_images/sphx_glr_convex_hull_mask_001.png" srcset="../_images/sphx_glr_convex_hull_mask_001.png" alt="Only keep grid points that inside of the convex hull" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[False False False ... False False False]
  [False  True  True ...  True False False]
  [False  True  True ...  True  True False]
  ...
@@ -822,7 +508,7 @@ <h1>Mask grid points by convex hull</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -858,70 +544,110 @@ <h1>Mask grid points by convex hull</h1>
 <span class="c1"># Make a plot of the masked data and the data locations.</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Only keep grid points that inside of the convex hull&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.y&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.pcolormesh" title="cartopy.mpl.geoaxes.GeoAxes.pcolormesh" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dummy_data</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.600 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-convex-hull-mask-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/c4f5c8d65b821f3fe8b19cd0f6eae31c/convex_hull_mask.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">convex_hull_mask.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.797 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-convex-hull-mask-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/21b786417a2cadc7218662660c3dfac8/convex_hull_mask.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">convex_hull_mask.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/c4f5c8d65b821f3fe8b19cd0f6eae31c/convex_hull_mask.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">convex_hull_mask.py</span></code></a></p>
+</div>
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 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
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+    <link rel="icon" href="../_static/favicon.png"/>
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-<!-- Headers at the top -->
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+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
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+  
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
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+  <input type="checkbox"
+          class="sidebar-toggle"
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+          class="sidebar-toggle"
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+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+  
 
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+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
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+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
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+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
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+        <div class="sidebar-primary-item">
+
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+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
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+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
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-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
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- </li>
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-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
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-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
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-   Evaluating Performance
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-   Model Selection
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-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
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-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
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-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
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-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-     verde.convexhull_mask
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-     verde.maxabs
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-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+    <h1>Gridding with a cubic interpolator</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
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-                <h1>Gridding with a cubic interpolator</h1>
-                <!-- Table of contents -->
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+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-cubic-gridder-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-cubic-gridder-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-a-cubic-interpolator">
-<span id="sphx-glr-gallery-cubic-gridder-py"></span><h1>Gridding with a cubic interpolator<a class="headerlink" href="#gridding-with-a-cubic-interpolator" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-cubic-gridder-py"></span><h1>Gridding with a cubic interpolator<a class="headerlink" href="#gridding-with-a-cubic-interpolator" title="Link to this heading">#</a></h1>
 <p>Verde offers the <a class="reference internal" href="../api/generated/verde.Cubic.html#verde.Cubic" title="verde.Cubic"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Cubic</span></code></a> class for piecewise cubic gridding.
-It uses <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a> under the hood
+It uses <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.CloughTocher2DInterpolator.html#scipy.interpolate.CloughTocher2DInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.CloughTocher2DInterpolator</span></code></a> under the hood
 while offering the convenience of Verde’s gridder API.</p>
 <p>The interpolation works on Cartesian data, so if we want to grid geographic
 data (like our Baja California bathymetry) we need to project them into a
@@ -814,8 +501,15 @@ <h1>Gridding with a cubic interpolator</h1>
 <code class="docutils literal notranslate"><span class="pre">projection</span></code> argument to <a class="reference internal" href="../api/generated/verde.Cubic.html#verde.Cubic.grid" title="verde.Cubic.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Cubic.grid</span></code></a> and the like. When
 doing so, the grid will be generated using geographic coordinates which will be
 projected prior to interpolation.</p>
-<img src="../_images/sphx_glr_cubic_gridder_001.png" srcset="../_images/sphx_glr_cubic_gridder_001.png" alt="Cubic gridding of bathymetry" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Data region: (245.0, 254.705, 20.0, 29.99131)
+<img src="../_images/sphx_glr_cubic_gridder_001.png" srcset="../_images/sphx_glr_cubic_gridder_001.png" alt="Cubic gridding of bathymetry" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+Data region: (245.0, 254.705, 20.0, 29.99131)
 Generated geographic grid:
 &lt;xarray.Dataset&gt;
 Dimensions:       (latitude: 600, longitude: 583)
@@ -831,7 +525,7 @@ <h1>Gridding with a cubic interpolator</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -886,76 +580,116 @@ <h1>Gridding with a cubic interpolator</h1>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <span class="c1"># Make a Mercator map of our gridded bathymetry</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="c1"># Plot the gridded bathymetry</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">bathymetry_m</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the locations of the decimated data</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <span class="c1"># Use an utility function to setup the tick labels and the land feature</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Cubic gridding of bathymetry&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
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-<p><a class="reference download internal" download="" href="../_downloads/765408a65f0dbb54a51279f016bd7a4f/cubic_gridder.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">cubic_gridder.py</span></code></a></p>
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@@ -2,51 +2,61 @@
 
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
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-     verde.Spline
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-     verde.SplineCV
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-     verde.KNeighbors
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-     verde.Cubic
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.convexhull_mask
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-     verde.variance_to_weights
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-     verde.load_surfer
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-     verde.datasets.locate
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-     verde.datasets.setup_california_gps_map
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-     verde.datasets.fetch_texas_wind
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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- <li class="toctree-l1">
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-   Documentation for other versions
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
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+<span class="btn__icon-container">
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+document.write(`
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+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Mask grid points by distance</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Mask grid points by distance</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-distance-mask-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-distance-mask-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="mask-grid-points-by-distance">
-<span id="sphx-glr-gallery-distance-mask-py"></span><h1>Mask grid points by distance<a class="headerlink" href="#mask-grid-points-by-distance" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-distance-mask-py"></span><h1>Mask grid points by distance<a class="headerlink" href="#mask-grid-points-by-distance" title="Link to this heading">#</a></h1>
 <p>Sometimes, data points are unevenly distributed. In such cases, we might not
 want to have interpolated grid points that are too far from any data point.
 Function <a class="reference internal" href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.distance_mask</span></code></a> allows us to set such points to NaN or
 some other value.</p>
-<img src="../_images/sphx_glr_distance_mask_001.png" srcset="../_images/sphx_glr_distance_mask_001.png" alt="Only keep grid points that are close to data" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[ True  True  True ...  True  True  True]
+<img src="../_images/sphx_glr_distance_mask_001.png" srcset="../_images/sphx_glr_distance_mask_001.png" alt="Only keep grid points that are close to data" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[ True  True  True ...  True  True  True]
  [ True  True  True ...  True  True  True]
  [ True  True  True ...  True  True  True]
  ...
@@ -822,7 +508,7 @@ <h1>Mask grid points by distance</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -860,70 +546,110 @@ <h1>Mask grid points by distance</h1>
 <span class="c1"># Make a plot of the masked data and the data locations.</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Only keep grid points that are close to data&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.y&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.pcolormesh" title="cartopy.mpl.geoaxes.GeoAxes.pcolormesh" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dummy_data</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.466 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-distance-mask-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/11c1e51778e45f016bc6a82ec765f80c/distance_mask.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">distance_mask.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.883 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-distance-mask-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0ecb780bdd79a75e89aa13f5b057df28/distance_mask.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">distance_mask.ipynb</span></code></a></p>
 </div>
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-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
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-     verde.BlockReduce
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-     verde.Trend
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-     verde.Chain
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-     verde.Vector
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-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
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-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Community
- </span>
-</p>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../citing.html">Citing Verde</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../references.html">References</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../changes.html">Changelog</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Community</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference external" href="https://www.fatiando.org/contact/">
-   Join the community
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- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">
-   How to contribute
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">
-   Code of Conduct
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde">
-   Source code on GitHub
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-  <a class="reference external" href="https://www.fatiando.org">
-   The Fatiando a Terra project
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+    <h1>Gallery</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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   <section id="gallery">
-<span id="sphx-glr-gallery"></span><span id="id1"></span><h1>Gallery<a class="headerlink" href="#gallery" title="Permalink to this headline">#</a></h1>
+<span id="id1"></span><h1>Gallery<a class="headerlink" href="#gallery" title="Link to this heading">#</a></h1>
 <p>This gallery contains a selection examples of what Verde can do.</p>
-<div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><figure class="align-default" id="id2">
-<img alt="K-Fold cross-validation with blocks" src="../_images/sphx_glr_blockkfold_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><figure class="align-default" id="id3">
-<img alt="Blocked reduction operations" src="../_images/sphx_glr_blockreduce_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><figure class="align-default" id="id4">
-<img alt="Using weights in blocked reduction" src="../_images/sphx_glr_blockreduce_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><figure class="align-default" id="id5">
-<img alt="Using weights in blocked means" src="../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Cross-validation scores for spatial data can be biased because observations are commonly spatia..."><img alt="" src="../_images/sphx_glr_blockkfold_thumb.png" />
+<p><a class="reference internal" href="blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a></p>
+  <div class="sphx-glr-thumbnail-title">K-Fold cross-validation with blocks</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="When gridding data that has been highly oversampled in a direction (shipborne and airborne data..."><img alt="" src="../_images/sphx_glr_blockreduce_thumb.png" />
+<p><a class="reference internal" href="blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Blocked reduction operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes data has outliers or less reliable points that might skew a blocked mean or even a me..."><img alt="" src="../_images/sphx_glr_blockreduce_weights_thumb.png" />
+<p><a class="reference internal" href="blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked reduction</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="verde.BlockReduce is not able to output weights because we need to make assumptions about the r..."><img alt="" src="../_images/sphx_glr_blockreduce_weights_mean_thumb.png" />
+<p><a class="reference internal" href="blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using weights in blocked means</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><img alt="" src="../_images/sphx_glr_checkerboard_thumb.png" />
+<p><a class="reference internal" href="checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Checkerboard function</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../_images/sphx_glr_convex_hull_mask_thumb.png" />
+<p><a class="reference internal" href="convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by convex hull</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><img alt="" src="../_images/sphx_glr_cubic_gridder_thumb.png" />
+<p><a class="reference internal" href="cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a cubic interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><img alt="" src="../_images/sphx_glr_distance_mask_thumb.png" />
+<p><a class="reference internal" href="distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Mask grid points by distance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><img alt="" src="../_images/sphx_glr_kneighbors_gridder_thumb.png" />
+<p><a class="reference internal" href="kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a nearest-neighbors interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><img alt="" src="../_images/sphx_glr_linear_gridder_thumb.png" />
+<p><a class="reference internal" href="linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with a linear interpolator</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><img alt="" src="../_images/sphx_glr_project_grid_thumb.png" />
+<p><a class="reference internal" href="project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Projection of gridded data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><img alt="" src="../_images/sphx_glr_spline_thumb.png" />
+<p><a class="reference internal" href="spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><img alt="" src="../_images/sphx_glr_spline_cv_thumb.png" />
+<p><a class="reference internal" href="spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines (cross-validated)</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><img alt="" src="../_images/sphx_glr_spline_weights_thumb.png" />
+<p><a class="reference internal" href="spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding with splines and weights</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><img alt="" src="../_images/sphx_glr_train_test_split_thumb.png" />
+<p><a class="reference internal" href="train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Splitting data into train and test sets</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><img alt="" src="../_images/sphx_glr_trend_thumb.png" />
+<p><a class="reference internal" href="trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Polynomial trend</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><img alt="" src="../_images/sphx_glr_vector_trend_thumb.png" />
+<p><a class="reference internal" href="vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trends in vector data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><img alt="" src="../_images/sphx_glr_vector_uncoupled_thumb.png" />
+<p><a class="reference internal" href="vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Gridding 2D vectors</div>
+</div></div><div class="toctree-wrapper compound">
 </div>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.synthetic.CheckerBoard class generates synthetic data in a checkerboard pattern. It h..."><figure class="align-default" id="id6">
-<img alt="Checkerboard function" src="../_images/sphx_glr_checkerboard_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id7">
-<img alt="Mask grid points by convex hull" src="../_images/sphx_glr_convex_hull_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Cubic class for piecewise cubic gridding. It uses scipy.interpolate.Clou..."><figure class="align-default" id="id8">
-<img alt="Gridding with a cubic interpolator" src="../_images/sphx_glr_cubic_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes, data points are unevenly distributed. In such cases, we might not want to have inter..."><figure class="align-default" id="id9">
-<img alt="Mask grid points by distance" src="../_images/sphx_glr_distance_mask_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.KNeighbors class for nearest-neighbor gridding. The interpolation looks ..."><figure class="align-default" id="id10">
-<img alt="Gridding with a nearest-neighbors interpolator" src="../_images/sphx_glr_kneighbors_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Linear class for piecewise linear gridding. It uses scipy.interpolate.Li..."><figure class="align-default" id="id11">
-<img alt="Gridding with a linear interpolator" src="../_images/sphx_glr_linear_gridder_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Sometimes gridded data products need to be projected before they can be used. For example, you ..."><figure class="align-default" id="id12">
-<img alt="Projection of gridded data" src="../_images/sphx_glr_project_grid_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a></span><a class="headerlink" href="#id12" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Biharmonic spline interpolation is based on estimating vertical forces acting on an elastic she..."><figure class="align-default" id="id13">
-<img alt="Gridding with splines" src="../_images/sphx_glr_spline_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a></span><a class="headerlink" href="#id13" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="The verde.Spline has one main parameter that needs to be configured:"><figure class="align-default" id="id14">
-<img alt="Gridding with splines (cross-validated)" src="../_images/sphx_glr_spline_cv_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a></span><a class="headerlink" href="#id14" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="An advantage of using the Green&#x27;s functions based verde.Spline over verde.ScipyGridder is that ..."><figure class="align-default" id="id15">
-<img alt="Gridding with splines and weights" src="../_images/sphx_glr_spline_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a></span><a class="headerlink" href="#id15" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde gridders are mostly linear models that are used to predict data at new locations. As such..."><figure class="align-default" id="id16">
-<img alt="Splitting data into train and test sets" src="../_images/sphx_glr_train_test_split_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a></span><a class="headerlink" href="#id16" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
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-<div class="sphx-glr-thumbcontainer" tooltip="Verde offers the verde.Trend class to fit a 2D polynomial trend to your data. This can be usefu..."><figure class="align-default" id="id17">
-<img alt="Polynomial trend" src="../_images/sphx_glr_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a></span><a class="headerlink" href="#id17" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde provides the verde.Trend class to estimate a polynomial trend and the verde.Vector class ..."><figure class="align-default" id="id18">
-<img alt="Trends in vector data" src="../_images/sphx_glr_vector_trend_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a></span><a class="headerlink" href="#id18" title="Permalink to this image">#</a></p>
-</figcaption>
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-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="We can use verde.Vector to simultaneously process and grid all components of vector data. Each ..."><figure class="align-default" id="id19">
-<img alt="Gridding 2D vectors" src="../_images/sphx_glr_vector_uncoupled_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a></span><a class="headerlink" href="#id19" title="Permalink to this image">#</a></p>
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
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+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="current nav bd-sidenav">
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-  <a class="reference internal" href="../tutorials/overview.html">
-   Overview
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-     Blocked reduction operations
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-    <a class="reference internal" href="blockreduce_weights.html">
-     Using weights in blocked reduction
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-     Using weights in blocked means
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-     Checkerboard function
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-     Mask grid points by convex hull
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-     Projection of gridded data
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-     Gridding with splines
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-     Gridding with splines (cross-validated)
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-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
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-   <li class="toctree-l2">
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-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
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-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
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-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
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+    <h1>Gridding with a nearest-neighbors interpolator</h1>
+    <!-- Table of contents -->
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   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-kneighbors-gridder-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-kneighbors-gridder-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-a-nearest-neighbors-interpolator">
-<span id="sphx-glr-gallery-kneighbors-gridder-py"></span><h1>Gridding with a nearest-neighbors interpolator<a class="headerlink" href="#gridding-with-a-nearest-neighbors-interpolator" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-kneighbors-gridder-py"></span><h1>Gridding with a nearest-neighbors interpolator<a class="headerlink" href="#gridding-with-a-nearest-neighbors-interpolator" title="Link to this heading">#</a></h1>
 <p>Verde offers the <a class="reference internal" href="../api/generated/verde.KNeighbors.html#verde.KNeighbors" title="verde.KNeighbors"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.KNeighbors</span></code></a> class for nearest-neighbor gridding.
 The interpolation looks at the data values of the <em>k</em> nearest neighbors of a
 interpolated point. If <em>k</em> is 1, then the data value of the closest neighbor is
@@ -816,8 +503,7 @@ <h1>Gridding with a nearest-neighbors interpolator</h1>
 <code class="docutils literal notranslate"><span class="pre">projection</span></code> argument to <a class="reference internal" href="../api/generated/verde.KNeighbors.html#verde.KNeighbors.grid" title="verde.KNeighbors.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.KNeighbors.grid</span></code></a> and the like. When
 doing so, the grid will be generated using geographic coordinates which will be
 projected prior to interpolation.</p>
-<img src="../_images/sphx_glr_kneighbors_gridder_001.png" srcset="../_images/sphx_glr_kneighbors_gridder_001.png" alt="Nearest-neighbor gridding of bathymetry" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Data region: (245.0, 254.705, 20.0, 29.99131)
+<img src="../_images/sphx_glr_kneighbors_gridder_001.png" srcset="../_images/sphx_glr_kneighbors_gridder_001.png" alt="Nearest-neighbor gridding of bathymetry" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Data region: (245.0, 254.705, 20.0, 29.99131)
 Generated geographic grid:
 &lt;xarray.Dataset&gt;
 Dimensions:       (latitude: 600, longitude: 583)
@@ -833,7 +519,7 @@ <h1>Gridding with a nearest-neighbors interpolator</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -887,76 +573,116 @@ <h1>Gridding with a nearest-neighbors interpolator</h1>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <span class="c1"># Make a Mercator map of our gridded bathymetry</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="c1"># Plot the gridded bathymetry</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">bathymetry_m</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the locations of the data</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <span class="c1"># Use an utility function to setup the tick labels and the land feature</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Nearest-neighbor gridding of bathymetry&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
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+    <script src="../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'gallery/linear_gridder';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="Projection of gridded data" href="project_grid.html" />
@@ -55,756 +65,433 @@
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-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
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+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
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-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
-      
-      <img src="../_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
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-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
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-   Overview
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-  <ul class="current">
-   <li class="toctree-l2">
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-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights.html">
-     Using weights in blocked reduction
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-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="distance_mask.html">
-     Mask grid points by distance
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2 current active">
-    <a class="current reference internal" href="#">
-     Gridding with a linear interpolator
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-   <li class="toctree-l2">
-    <a class="reference internal" href="project_grid.html">
-     Projection of gridded data
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
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- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
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-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
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-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
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-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
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-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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+</div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-linear-gridder-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-linear-gridder-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-a-linear-interpolator">
-<span id="sphx-glr-gallery-linear-gridder-py"></span><h1>Gridding with a linear interpolator<a class="headerlink" href="#gridding-with-a-linear-interpolator" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-linear-gridder-py"></span><h1>Gridding with a linear interpolator<a class="headerlink" href="#gridding-with-a-linear-interpolator" title="Link to this heading">#</a></h1>
 <p>Verde offers the <a class="reference internal" href="../api/generated/verde.Linear.html#verde.Linear" title="verde.Linear"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Linear</span></code></a> class for piecewise linear gridding.
-It uses <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a> under the hood while
+It uses <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html#scipy.interpolate.LinearNDInterpolator" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.interpolate.LinearNDInterpolator</span></code></a> under the hood while
 offering the convenience of Verde’s gridder API.</p>
 <p>The interpolation works on Cartesian data, so if we want to grid geographic
 data (like our Baja California bathymetry) we need to project them into a
@@ -814,8 +501,15 @@ <h1>Gridding with a linear interpolator</h1>
 <code class="docutils literal notranslate"><span class="pre">projection</span></code> argument to <a class="reference internal" href="../api/generated/verde.Linear.html#verde.Linear.grid" title="verde.Linear.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Linear.grid</span></code></a> and the like. When
 doing so, the grid will be generated using geographic coordinates which will be
 projected prior to interpolation.</p>
-<img src="../_images/sphx_glr_linear_gridder_001.png" srcset="../_images/sphx_glr_linear_gridder_001.png" alt="Linear gridding of bathymetry" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Data region: (245.0, 254.705, 20.0, 29.99131)
+<img src="../_images/sphx_glr_linear_gridder_001.png" srcset="../_images/sphx_glr_linear_gridder_001.png" alt="Linear gridding of bathymetry" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+Data region: (245.0, 254.705, 20.0, 29.99131)
 Generated geographic grid:
 &lt;xarray.Dataset&gt;
 Dimensions:       (latitude: 600, longitude: 583)
@@ -831,7 +525,7 @@ <h1>Gridding with a linear interpolator</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -886,76 +580,116 @@ <h1>Gridding with a linear interpolator</h1>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <span class="c1"># Make a Mercator map of our gridded bathymetry</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="c1"># Plot the gridded bathymetry</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">bathymetry_m</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the locations of the decimated data</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <span class="c1"># Use an utility function to setup the tick labels and the land feature</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Linear gridding of bathymetry&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.576 seconds)</p>
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-<p><a class="reference download internal" download="" href="../_downloads/ba0f947c9298174535e77fe54f08e8b9/linear_gridder.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">linear_gridder.py</span></code></a></p>
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 <p><a class="reference download internal" download="" href="../_downloads/03d4f2871f2886a1c2bc97f18bce2c4a/linear_gridder.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">linear_gridder.ipynb</span></code></a></p>
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+<p><a class="reference download internal" download="" href="../_downloads/ba0f947c9298174535e77fe54f08e8b9/linear_gridder.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">linear_gridder.py</span></code></a></p>
+</div>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
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 </ul>
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 </ul>
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
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-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-     verde.grid_to_table
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-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.base.BaseGridder
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-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+      
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Projection of gridded data</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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-                <h1>Projection of gridded data</h1>
-                <!-- Table of contents -->
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-project-grid-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-project-grid-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="projection-of-gridded-data">
-<span id="sphx-glr-gallery-project-grid-py"></span><h1>Projection of gridded data<a class="headerlink" href="#projection-of-gridded-data" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-project-grid-py"></span><h1>Projection of gridded data<a class="headerlink" href="#projection-of-gridded-data" title="Link to this heading">#</a></h1>
 <p>Sometimes gridded data products need to be projected before they can be used.
 For example, you might want to project the topography of Antarctica from
 geographic latitude and longitude to a planar polar stereographic projection
@@ -811,7 +498,7 @@ <h1>Projection of gridded data</h1>
 grid.</p>
 <p>The <a class="reference internal" href="../api/generated/verde.project_grid.html#verde.project_grid" title="verde.project_grid"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.project_grid</span></code></a> function automates this process using the
 interpolation methods available in Verde. An input grid
-(<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) is interpolated onto a new grid in the given
+(<a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.DataArray</span></code></a>) is interpolated onto a new grid in the given
 <a class="reference external" href="https://jswhit.github.io/pyproj/">pyproj</a> projection. The function takes
 care of choosing a default grid spacing and region, running a blocked mean to
 avoid spatial aliasing (using <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a>), and masking the
@@ -827,8 +514,7 @@ <h1>Projection of gridded data</h1>
 cases, you might want to try
 <a class="reference external" href="https://github.com/pytroll/pyresample">pyresample</a> instead.</p>
 </div>
-<img src="../_images/sphx_glr_project_grid_001.png" srcset="../_images/sphx_glr_project_grid_001.png" alt="Geographic Grid, Polar Stereographic Grid" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Geographic grid:
+<img src="../_images/sphx_glr_project_grid_001.png" srcset="../_images/sphx_glr_project_grid_001.png" alt="Geographic Grid, Polar Stereographic Grid" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Geographic grid:
 &lt;xarray.Dataset&gt;
 Dimensions:       (latitude: 121, longitude: 1441)
 Coordinates:
@@ -838,6 +524,12 @@ <h1>Projection of gridded data</h1>
     checkerboard  (latitude, longitude) float64 0.0 0.0 0.0 ... 90.55 45.51 -0.0
 Attributes:
     metadata:  Generated by CheckerBoard(region=(-3333134.027630276, 3333134....
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
 
 Projected grid:
 &lt;xarray.DataArray &#39;checkerboard&#39; (y: 134, x: 134)&gt;
@@ -858,7 +550,7 @@ <h1>Projection of gridded data</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
@@ -894,73 +586,113 @@ <h1>Projection of gridded data</h1>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">polar_data</span></a><span class="p">)</span>
 
 <span class="c1"># Plot the original and projected grids</span>
-<a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">,</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">)</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">checkerboard</span></a><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> <span class="n">cbar_kwargs</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">,</span> <span class="n">cbar_kwargs</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Geographic Grid&quot;</span><span class="p">)</span>
-<a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">polar_data</span></a><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax2</span><span class="p">,</span> <span class="n">cbar_kwargs</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span>
+<a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">polar_data</span></a><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">,</span> <span class="n">cbar_kwargs</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Polar Stereographic Grid&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tight_layout.html#matplotlib.pyplot.tight_layout" title="matplotlib.pyplot.tight_layout" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.321 seconds)</p>
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-<p><a class="reference download internal" download="" href="../_downloads/7ab9fbbbededfac47e80aa805fccc02e/project_grid.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">project_grid.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.759 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-project-grid-py">
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 <p><a class="reference download internal" download="" href="../_downloads/3f9cd881acef1c5744bb9eb0dfb560db/project_grid.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">project_grid.ipynb</span></code></a></p>
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+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/7ab9fbbbededfac47e80aa805fccc02e/project_grid.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">project_grid.py</span></code></a></p>
+</div>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
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-     verde.Spline
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-     verde.SplineCV
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-     verde.Cubic
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-     verde.variance_to_weights
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-     verde.datasets.setup_california_gps_map
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-     verde.datasets.fetch_texas_wind
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../citing.html">Citing Verde</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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   <section id="computation-times">
-<span id="sphx-glr-gallery-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">#</a></h1>
-<p><strong>00:43.731</strong> total execution time for <strong>gallery</strong> files:</p>
-<table class="table">
-<colgroup>
-<col style="width: 82%" />
-<col style="width: 10%" />
-<col style="width: 8%" />
-</colgroup>
-<tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a> (<code class="docutils literal notranslate"><span class="pre">blockkfold.py</span></code>)</p></td>
-<td><p>00:15.754</p></td>
-<td><p>0.0 MB</p></td>
+<span id="sphx-glr-gallery-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
+<p><strong>00:47.679</strong> total execution time for 18 files <strong>from gallery</strong>:</p>
+<div class="docutils container">
+<style scoped>
+<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+<link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+</style>
+<script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+<script type="text/javascript" class="init">
+$(document).ready( function () {
+    $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+} );
+</script><table class="table table-striped sg-datatable">
+<thead>
+<tr class="row-odd"><th class="head"><p>Example</p></th>
+<th class="head"><p>Time</p></th>
+<th class="head"><p>Mem (MB)</p></th>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a> (<code class="docutils literal notranslate"><span class="pre">train_test_split.py</span></code>)</p></td>
-<td><p>00:04.816</p></td>
-<td><p>0.0 MB</p></td>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference internal" href="blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a> (<code class="docutils literal notranslate"><span class="pre">blockkfold.py</span></code>)</p></td>
+<td><p>00:18.201</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a> (<code class="docutils literal notranslate"><span class="pre">convex_hull_mask.py</span></code>)</p></td>
-<td><p>00:03.600</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a> (<code class="docutils literal notranslate"><span class="pre">train_test_split.py</span></code>)</p></td>
+<td><p>00:05.499</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a> (<code class="docutils literal notranslate"><span class="pre">project_grid.py</span></code>)</p></td>
-<td><p>00:03.321</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a> (<code class="docutils literal notranslate"><span class="pre">convex_hull_mask.py</span></code>)</p></td>
+<td><p>00:03.797</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">kneighbors_gridder.py</span></code>)</p></td>
-<td><p>00:03.303</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>00:03.376</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a> (<code class="docutils literal notranslate"><span class="pre">distance_mask.py</span></code>)</p></td>
+<td><p>00:02.883</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a> (<code class="docutils literal notranslate"><span class="pre">project_grid.py</span></code>)</p></td>
+<td><p>00:02.759</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">cubic_gridder.py</span></code>)</p></td>
-<td><p>00:02.717</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>00:02.498</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">linear_gridder.py</span></code>)</p></td>
-<td><p>00:02.576</p></td>
-<td><p>0.0 MB</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a> (<code class="docutils literal notranslate"><span class="pre">distance_mask.py</span></code>)</p></td>
 <td><p>00:02.466</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a> (<code class="docutils literal notranslate"><span class="pre">spline.py</span></code>)</p></td>
+<td><p>00:02.385</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a> (<code class="docutils literal notranslate"><span class="pre">spline.py</span></code>)</p></td>
-<td><p>00:01.597</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a> (<code class="docutils literal notranslate"><span class="pre">blockreduce_weights_mean.py</span></code>)</p></td>
+<td><p>00:00.793</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a> (<code class="docutils literal notranslate"><span class="pre">blockreduce_weights_mean.py</span></code>)</p></td>
-<td><p>00:00.842</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a> (<code class="docutils literal notranslate"><span class="pre">spline_weights.py</span></code>)</p></td>
+<td><p>00:00.625</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a> (<code class="docutils literal notranslate"><span class="pre">spline_weights.py</span></code>)</p></td>
-<td><p>00:00.734</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a> (<code class="docutils literal notranslate"><span class="pre">spline_cv.py</span></code>)</p></td>
+<td><p>00:00.564</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">blockreduce_weights.py</span></code>)</p></td>
-<td><p>00:00.489</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>00:00.561</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a> (<code class="docutils literal notranslate"><span class="pre">trend.py</span></code>)</p></td>
-<td><p>00:00.381</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>00:00.404</p></td>
+<td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a> (<code class="docutils literal notranslate"><span class="pre">vector_trend.py</span></code>)</p></td>
-<td><p>00:00.329</p></td>
-<td><p>0.0 MB</p></td>
+<td><p>00:00.339</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a> (<code class="docutils literal notranslate"><span class="pre">spline_cv.py</span></code>)</p></td>
-<td><p>00:00.271</p></td>
-<td><p>0.0 MB</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a> (<code class="docutils literal notranslate"><span class="pre">blockreduce.py</span></code>)</p></td>
-<td><p>00:00.252</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a> (<code class="docutils literal notranslate"><span class="pre">blockreduce.py</span></code>)</p></td>
+<td><p>00:00.211</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a> (<code class="docutils literal notranslate"><span class="pre">vector_uncoupled.py</span></code>)</p></td>
-<td><p>00:00.161</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a> (<code class="docutils literal notranslate"><span class="pre">vector_uncoupled.py</span></code>)</p></td>
+<td><p>00:00.205</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a> (<code class="docutils literal notranslate"><span class="pre">checkerboard.py</span></code>)</p></td>
-<td><p>00:00.121</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a> (<code class="docutils literal notranslate"><span class="pre">checkerboard.py</span></code>)</p></td>
+<td><p>00:00.113</p></td>
+<td><p>0.0</p></td>
 </tr>
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 </table>
+</div>
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diff --git a/dev/gallery/spline.html b/dev/gallery/spline.html
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@@ -2,51 +2,61 @@
 
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+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
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-     verde.Spline
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-     verde.maxabs
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-     verde.grid_to_table
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-     verde.make_xarray_grid
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.datasets.setup_texas_wind_map
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Gridding with splines</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Gridding with splines</h1>
-                <!-- Table of contents -->
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+</div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-spline-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-spline-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-splines">
-<span id="sphx-glr-gallery-spline-py"></span><h1>Gridding with splines<a class="headerlink" href="#gridding-with-splines" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-spline-py"></span><h1>Gridding with splines<a class="headerlink" href="#gridding-with-splines" title="Link to this heading">#</a></h1>
 <p>Biharmonic spline interpolation is based on estimating vertical forces acting
 on an elastic sheet that yield deformations in the sheet equal to the observed
 data. The results are similar to using <a class="reference internal" href="../api/generated/verde.Cubic.html#verde.Cubic" title="verde.Cubic"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Cubic</span></code></a> but the
@@ -816,11 +503,16 @@ <h1>Gridding with splines</h1>
 <code class="docutils literal notranslate"><span class="pre">random_state</span></code>. See <a class="reference internal" href="../tutorials/model_selection.html#model-selection"><span class="std std-ref">Model Selection</span></a> for more information and a
 better approach.</p>
 </div>
-<img src="../_images/sphx_glr_spline_001.png" srcset="../_images/sphx_glr_spline_001.png" alt="spline" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;mean&#39;,
-              BlockReduce(reduction=&lt;function mean at 0x7fbfeacb2280&gt;,
+<img src="../_images/sphx_glr_spline_001.png" srcset="../_images/sphx_glr_spline_001.png" alt="spline" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;mean&#39;,
+              BlockReduce(reduction=&lt;function mean at 0x7f7a63577eb0&gt;,
                           spacing=27750.0)),
              (&#39;spline&#39;, Spline(damping=1e-10, mindist=0))])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
 /home/runner/work/verde/verde/doc/gallery_src/spline.py:67: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = chain.score(*test)
 
@@ -839,7 +531,7 @@ <h1>Gridding with splines</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -900,75 +592,115 @@ <h1>Gridding with splines</h1>
 
 <span class="c1"># Plot the grid and the original data points</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Air temperature gridded with biharmonic spline&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
 <span class="n">tmp</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">tmp</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;Air temperature (C)&quot;</span><span class="p">)</span>
 <span class="c1"># Use an utility function to add tick labels and land and ocean features to the</span>
 <span class="c1"># map.</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
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diff --git a/dev/gallery/spline_cv.html b/dev/gallery/spline_cv.html
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-     Projection of gridded data
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2 current active">
-    <a class="current reference internal" href="#">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
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+              
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+    <h1>Gridding with splines (cross-validated)</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
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-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Gridding with splines (cross-validated)</h1>
-                <!-- Table of contents -->
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+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-spline-cv-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-spline-cv-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-splines-cross-validated">
-<span id="sphx-glr-gallery-spline-cv-py"></span><h1>Gridding with splines (cross-validated)<a class="headerlink" href="#gridding-with-splines-cross-validated" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-spline-cv-py"></span><h1>Gridding with splines (cross-validated)<a class="headerlink" href="#gridding-with-splines-cross-validated" title="Link to this heading">#</a></h1>
 <p>The <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> has one main parameter that needs to be configured:</p>
 <ul class="simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">damping</span></code>: the regularization parameter controlling smoothness</p></li>
@@ -817,75 +504,106 @@ <h1>Gridding with splines (cross-validated)</h1>
 <a class="reference internal" href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a></p></li>
 <li><p>Pick the spline with the highest score</p></li>
 </ol>
-<img src="../_images/sphx_glr_spline_cv_001.png" srcset="../_images/sphx_glr_spline_cv_001.png" alt="spline cv" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<img src="../_images/sphx_glr_spline_cv_001.png" srcset="../_images/sphx_glr_spline_cv_001.png" alt="spline cv" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   self.spline_ = Spline(**parameter_sets[best])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
 
 Score: 0.854
 
@@ -895,7 +613,7 @@ <h1>Gridding with splines (cross-validated)</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
 
@@ -943,75 +661,115 @@ <h1>Gridding with splines (cross-validated)</h1>
 
 <span class="c1"># Plot the grid and the original data points</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Air temperature gridded with biharmonic spline&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
 <span class="n">tmp</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">tmp</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;Air temperature (C)&quot;</span><span class="p">)</span>
 <span class="c1"># Use an utility function to add tick labels and land and ocean features to the</span>
 <span class="c1"># map.</span>
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+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
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-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-     verde.KNeighbors
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-     verde.Linear
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-     verde.expanding_window
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseBlockCrossValidator
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-     verde.ScipyGridder
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-     verde.datasets.locate
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-     verde.datasets.fetch_baja_bathymetry
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-     verde.datasets.setup_california_gps_map
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-     verde.datasets.fetch_texas_wind
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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-   Citing Verde
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
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+    <h1>Gridding with splines and weights</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
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-                <h1>Gridding with splines and weights</h1>
-                <!-- Table of contents -->
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-                    <div id="jb-print-toc">
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-spline-weights-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-spline-weights-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-with-splines-and-weights">
-<span id="sphx-glr-gallery-spline-weights-py"></span><h1>Gridding with splines and weights<a class="headerlink" href="#gridding-with-splines-and-weights" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-spline-weights-py"></span><h1>Gridding with splines and weights<a class="headerlink" href="#gridding-with-splines-and-weights" title="Link to this heading">#</a></h1>
 <p>An advantage of using the Green’s functions based <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> over
 <a class="reference internal" href="../api/generated/verde.ScipyGridder.html#verde.ScipyGridder" title="verde.ScipyGridder"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.ScipyGridder</span></code></a> is that you can assign weights to the data to
 incorporate the data uncertainties or variance into the gridding. In this
 example, we’ll see how to combine <a class="reference internal" href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockMean</span></code></a> to decimate the data
 and use weights based on the data uncertainty during gridding.</p>
-<img src="../_images/sphx_glr_spline_weights_001.png" srcset="../_images/sphx_glr_spline_weights_001.png" alt="Data uncertainty, Weighted spline interpolated velocity" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;mean&#39;, BlockMean(spacing=9250.0, uncertainty=True)),
+<img src="../_images/sphx_glr_spline_weights_001.png" srcset="../_images/sphx_glr_spline_weights_001.png" alt="Data uncertainty, Weighted spline interpolated velocity" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;mean&#39;, BlockMean(spacing=9250.0, uncertainty=True)),
              (&#39;spline&#39;, Spline(damping=1e-10, mindist=0))])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
 /home/runner/work/verde/verde/doc/gallery_src/spline_weights.py:58: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = chain.score(*test)
 
-Score: 0.820
+Score: 0.819
 </pre></div>
 </div>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
 <span class="kn">from</span> <span class="nn">matplotlib.colors</span> <span class="kn">import</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.PowerNorm.html#matplotlib.colors.PowerNorm" title="matplotlib.colors.PowerNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">PowerNorm</span></a>
@@ -883,7 +573,7 @@ <h1>Gridding with splines and weights</h1>
 <span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <span class="c1"># Plot the data uncertainties</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Data uncertainty&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the uncertainties in mm/yr and using a power law for the color scale to</span>
 <span class="c1"># highlight the smaller values</span>
@@ -895,15 +585,15 @@ <h1>Gridding with splines and weights</h1>
     <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span>
     <span class="n">norm</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.PowerNorm.html#matplotlib.colors.PowerNorm" title="matplotlib.colors.PowerNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">PowerNorm</span></a><span class="p">(</span><span class="n">gamma</span><span class="o">=</span><span class="mi">1</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar.set_label" title="matplotlib.colorbar.Colorbar.set_label" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-method"><span class="n">cb</span><span class="o">.</span><span class="n">set_label</span></a><span class="p">(</span><span class="s2">&quot;uncertainty [mm/yr]&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <span class="c1"># Plot the gridded velocities</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Weighted spline interpolated velocity&quot;</span><span class="p">)</span>
 <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_up</span></a><span class="p">)</span> <span class="o">*</span> <span class="mi">1000</span>
 <span class="n">pc</span> <span class="o">=</span> <span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">velocity</span></a> <span class="o">*</span> <span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;seismic&quot;</span><span class="p">,</span>
     <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
     <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
@@ -911,70 +601,110 @@ <h1>Gridding with splines and weights</h1>
     <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar.set_label" title="matplotlib.colorbar.Colorbar.set_label" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-method"><span class="n">cb</span><span class="o">.</span><span class="n">set_label</span></a><span class="p">(</span><span class="s2">&quot;vertical velocity [mm/yr]&quot;</span><span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
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-  <a class="reference internal" href="../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 current active has-children">
-  <a class="reference internal" href="index.html">
-   Gallery
-  </a>
-  <input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul class="current">
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2 current active">
-    <a class="current reference internal" href="#">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
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+    <h1>Splitting data into train and test sets</h1>
+    <!-- Table of contents -->
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-                <h1>Splitting data into train and test sets</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-train-test-split-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-train-test-split-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="splitting-data-into-train-and-test-sets">
-<span id="sphx-glr-gallery-train-test-split-py"></span><h1>Splitting data into train and test sets<a class="headerlink" href="#splitting-data-into-train-and-test-sets" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-train-test-split-py"></span><h1>Splitting data into train and test sets<a class="headerlink" href="#splitting-data-into-train-and-test-sets" title="Link to this heading">#</a></h1>
 <p>Verde gridders are mostly linear models that are used to predict data at new
 locations. As such, they are subject to <em>over-fitting</em> and we should always
 strive to quantify the quality of the model predictions (see
@@ -812,7 +499,7 @@ <h1>Splitting data into train and test sets</h1>
 <p>These two datasets can be generated by splitting the data randomly (without
 regard for their positions in space). This is the default behaviour of function
 <a class="reference internal" href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.train_test_split</span></code></a>, which is based on the scikit-learn function
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a>. This can be problematic if
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a>. This can be problematic if
 the data points are autocorrelated (values close to each other spatially tend
 to have similar values). In these cases, splitting the data randomly can
 overestimate the prediction quality <a class="reference internal" href="../references.html#roberts-etal2017" id="id1"><span>[Roberts_etal2017]</span></a>.</p>
@@ -820,15 +507,16 @@ <h1>Splitting data into train and test sets</h1>
 case, the data are first grouped into blocks with a given size and then the
 blocks are split randomly between training and testing sets.</p>
 <p>This example compares splitting our sample dataset using both methods.</p>
-<img src="../_images/sphx_glr_train_test_split_001.png" srcset="../_images/sphx_glr_train_test_split_001.png" alt="Random splitting, Blocked random splitting" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Train and test size for random splits: 66376 16594
+<img src="../_images/sphx_glr_train_test_split_001.png" srcset="../_images/sphx_glr_train_test_split_001.png" alt="Random splitting, Blocked random splitting" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+Train and test size for random splits: 66376 16594
 Train and test size for block splits:  66585 16385
 </pre></div>
 </div>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
@@ -874,13 +562,13 @@ <h1>Splitting data into train and test sets</h1>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 
 <span class="c1"># Make Mercator maps of the two different ways of splitting</span>
-<a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">)</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
+<a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">)</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
     <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="p">)</span>
 
 <span class="c1"># Use an utility function to setup the tick labels and the land feature</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Random splitting&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="s2">&quot;.b&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Train&quot;</span><span class="p">)</span>
@@ -895,62 +583,102 @@ <h1>Splitting data into train and test sets</h1>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.816 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-train-test-split-py">
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-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.499 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-train-test-split-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/30b9d07a4e99de5861ab9cbccdb2b927/train_test_split.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">train_test_split.ipynb</span></code></a></p>
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+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/878cfbbd1ee5cbd159442c88b5d0e6f8/train_test_split.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">train_test_split.py</span></code></a></p>
+</div>
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diff --git a/dev/gallery/trend.html b/dev/gallery/trend.html
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     <link rel="index" title="Index" href="../genindex.html" />
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+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Polynomial trend</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="vector_uncoupled.html">Gridding 2D vectors</a></li>
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
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 </ul>
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-     verde.load_surfer
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Polynomial trend</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Polynomial trend</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
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-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-trend-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-trend-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="polynomial-trend">
-<span id="sphx-glr-gallery-trend-py"></span><h1>Polynomial trend<a class="headerlink" href="#polynomial-trend" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-trend-py"></span><h1>Polynomial trend<a class="headerlink" href="#polynomial-trend" title="Link to this heading">#</a></h1>
 <p>Verde offers the <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a> class to fit a 2D polynomial trend to
 your data. This can be useful for isolating a regional component of your data,
 for example, which is a common operation for gravity and magnetic data. Let’s
 look at how we can use Verde to remove the clear trend from our Texas
 temperature dataset (<a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html#verde.datasets.fetch_texas_wind" title="verde.datasets.fetch_texas_wind"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.datasets.fetch_texas_wind</span></code></a>).</p>
-<img src="../_images/sphx_glr_trend_001.png" srcset="../_images/sphx_glr_trend_001.png" alt="Original data, Regional trend, Residual, Distribution of data" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Original data:
+<img src="../_images/sphx_glr_trend_001.png" srcset="../_images/sphx_glr_trend_001.png" alt="Original data, Regional trend, Residual, Distribution of data" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Original data:
   station_id  longitude  ...  wind_speed_east_knots  wind_speed_north_knots
 0        0F2   -97.7756  ...               1.032920               -2.357185
 1        11R   -96.3742  ...               1.692155                2.982564
@@ -818,6 +504,8 @@ <h1>Polynomial trend</h1>
 4        5C1   -98.6946  ...               1.271400                1.090743
 
 [5 rows x 6 columns]
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
 
 Trend estimator: Trend(degree=1)
 
@@ -835,7 +523,7 @@ <h1>Polynomial trend</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
@@ -861,7 +549,7 @@ <h1>Polynomial trend</h1>
 <span class="k">def</span> <span class="nf">plot_data</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">title</span><span class="p">):</span>
     <span class="s2">&quot;Plot the column from the DataFrame in the ith subplot&quot;</span>
     <span class="n">crs</span> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
-    <span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="n">title</span><span class="p">)</span>
     <span class="c1"># Set vmin and vmax to the extremes of the original data</span>
     <span class="n">maxabs</span> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
@@ -876,7 +564,7 @@ <h1>Polynomial trend</h1>
         <span class="n">transform</span><span class="o">=</span><span class="n">crs</span><span class="p">,</span>
     <span class="p">)</span>
     <span class="c1"># Set the proper ticks for a Cartopy map</span>
-    <a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><span class="n">ax</span><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
     <span class="k">return</span> <a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mappable</span></a>
 
 
@@ -890,7 +578,7 @@ <h1>Polynomial trend</h1>
 
 <span class="c1"># Make histograms of the data and the residuals to show that the trend was</span>
 <span class="c1"># removed</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Distribution of data&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">hist</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="s2">&quot;auto&quot;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Original data&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">hist</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">residual</span></a><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="s2">&quot;auto&quot;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Residuals&quot;</span><span class="p">)</span>
@@ -909,62 +597,102 @@ <h1>Polynomial trend</h1>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.381 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-trend-py">
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-<p><a class="reference download internal" download="" href="../_downloads/6fe7ea01f08a8c9270c041b3bfbeb4c9/trend.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">trend.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.404 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-trend-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/2070872514282930d7a0cb271e43740d/trend.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">trend.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/6fe7ea01f08a8c9270c041b3bfbeb4c9/trend.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">trend.py</span></code></a></p>
+</div>
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 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
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-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
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 </ul>
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+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
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-   Grid Coordinates
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-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
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- </li>
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 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
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+              
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+    <h1>Trends in vector data</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
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-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Trends in vector data</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-vector-trend-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-vector-trend-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="trends-in-vector-data">
-<span id="sphx-glr-gallery-vector-trend-py"></span><h1>Trends in vector data<a class="headerlink" href="#trends-in-vector-data" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-vector-trend-py"></span><h1>Trends in vector data<a class="headerlink" href="#trends-in-vector-data" title="Link to this heading">#</a></h1>
 <p>Verde provides the <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a> class to estimate a polynomial trend
 and the <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a> class to apply any combination of estimators to
 each component of vector data, like GPS velocities. You can access each
@@ -810,8 +497,11 @@ <h1>Trends in vector data</h1>
 all vector components directly using using <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector.predict" title="verde.Vector.predict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Vector.predict</span></code></a>,
 <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Vector.grid</span></code></a>, etc, or chaining it with a vector interpolator using
 <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a>.</p>
-<img src="../_images/sphx_glr_vector_trend_001.png" srcset="../_images/sphx_glr_vector_trend_001.png" alt="East component trend, North component trend" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Vector trend estimator: Vector(components=[Trend(degree=2), Trend(degree=2)])
+<img src="../_images/sphx_glr_vector_trend_001.png" srcset="../_images/sphx_glr_vector_trend_001.png" alt="East component trend, North component trend" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+Vector trend estimator: Vector(components=[Trend(degree=2), Trend(degree=2)])
 East component trend: Trend(degree=2)
 East trend coefficients: [-2.63027348e+01  1.65325273e-01  3.15539485e-01 -2.54890059e-04
  -1.04529316e-03 -8.02571744e-04]
@@ -839,7 +529,7 @@ <h1>Trends in vector data</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
@@ -883,12 +573,12 @@ <h1>Trends in vector data</h1>
 <span class="c1"># Plot the two trend components</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;East component trend&quot;</span><span class="p">,</span> <span class="s2">&quot;North component trend&quot;</span><span class="p">]</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a> <span class="o">=</span> <span class="p">[</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">east_component</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">north_component</span></a><span class="p">]</span>
-<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">):</span>
+<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">):</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">)</span>
     <span class="c1"># Plot the trend in pseudo color</span>
     <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">)</span>
     <span class="n">tmp</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
         <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
         <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
         <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;seismic&quot;</span><span class="p">,</span>
@@ -896,7 +586,7 @@ <h1>Trends in vector data</h1>
         <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
         <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">tmp</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">tmp</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar.set_label" title="matplotlib.colorbar.Colorbar.set_label" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-method"><span class="n">cb</span><span class="o">.</span><span class="n">set_label</span></a><span class="p">(</span><span class="s2">&quot;meters/year&quot;</span><span class="p">)</span>
     <span class="c1"># Plot the original data</span>
     <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.quiver" title="cartopy.mpl.geoaxes.GeoAxes.quiver" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiver</span></a><span class="p">(</span>
@@ -912,69 +602,109 @@ <h1>Trends in vector data</h1>
     <span class="p">)</span>
     <span class="c1"># Setup the map ticks</span>
     <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span>
-        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ocean</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">))</span>
+        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ocean</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">))</span>
     <span class="p">)</span>
     <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.coastlines" title="cartopy.mpl.geoaxes.GeoAxes.coastlines" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span></a><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s2">&quot;white&quot;</span><span class="p">)</span>
 <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;lower left&quot;</span><span class="p">)</span>
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+<p><a class="reference download internal" download="" href="../_downloads/e104fbef4bc384cc80093bcccf22eded/vector_trend.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">vector_trend.py</span></code></a></p>
+</div>
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-  <a class="reference internal" href="../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 current active has-children">
-  <a class="reference internal" href="index.html">
-   Gallery
-  </a>
-  <input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul class="current">
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2 current active">
-    <a class="current reference internal" href="#">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="index.html">Gallery</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
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+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Gridding 2D vectors</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Gridding 2D vectors</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
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+</div>
+
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-gallery-vector-uncoupled-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-gallery-vector-uncoupled-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="gridding-2d-vectors">
-<span id="sphx-glr-gallery-vector-uncoupled-py"></span><h1>Gridding 2D vectors<a class="headerlink" href="#gridding-2d-vectors" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-gallery-vector-uncoupled-py"></span><h1>Gridding 2D vectors<a class="headerlink" href="#gridding-2d-vectors" title="Link to this heading">#</a></h1>
 <p>We can use <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a> to simultaneously process and grid all
 components of vector data. Each component is processed and gridded separately
 (see <a class="reference external" href="https://github.com/fatiando/erizo">Erizo</a> for an elastically coupled
@@ -810,8 +497,7 @@ <h1>Gridding 2D vectors</h1>
 <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a> can be combined with <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a>,
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>, and <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a> to create a full processing
 pipeline.</p>
-<img src="../_images/sphx_glr_vector_uncoupled_001.png" srcset="../_images/sphx_glr_vector_uncoupled_001.png" alt="Uncoupled spline gridding of wind speed" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  station_id  longitude  ...  wind_speed_east_knots  wind_speed_north_knots
+<img src="../_images/sphx_glr_vector_uncoupled_001.png" srcset="../_images/sphx_glr_vector_uncoupled_001.png" alt="Uncoupled spline gridding of wind speed" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  station_id  longitude  ...  wind_speed_east_knots  wind_speed_north_knots
 0        0F2   -97.7756  ...               1.032920               -2.357185
 1        11R   -96.3742  ...               1.692155                2.982564
 2        2F5  -101.9018  ...              -1.110056               -0.311412
@@ -819,13 +505,19 @@ <h1>Gridding 2D vectors</h1>
 4        5C1   -98.6946  ...               1.271400                1.090743
 
 [5 rows x 6 columns]
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
 Chain(steps=[(&#39;mean&#39;,
-              BlockReduce(reduction=&lt;function mean at 0x7fbfeacb2280&gt;,
+              BlockReduce(reduction=&lt;function mean at 0x7f7a63577eb0&gt;,
                           spacing=37000.0)),
              (&#39;trend&#39;, Vector(components=[Trend(degree=1), Trend(degree=1)])),
              (&#39;spline&#39;,
               Vector(components=[Spline(damping=1e-10, mindist=0),
                                  Spline(damping=1e-10, mindist=0)]))])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
 /home/runner/work/verde/verde/doc/gallery_src/vector_uncoupled.py:68: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = chain.score(*test)
 Cross-validation R^2 score: 0.77
@@ -834,7 +526,7 @@ <h1>Gridding 2D vectors</h1>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -898,7 +590,7 @@ <h1>Gridding 2D vectors</h1>
 
 <span class="c1"># Make maps of the original and gridded wind speed</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Uncoupled spline gridding of wind speed&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.quiver" title="cartopy.mpl.geoaxes.GeoAxes.quiver" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiver</span></a><span class="p">(</span>
     <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.values.html#xarray.DataArray.values" title="xarray.DataArray.values" class="sphx-glr-backref-module-xarray sphx-glr-backref-type-py-property"><span class="n">grid</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span>
@@ -925,66 +617,106 @@ <h1>Gridding 2D vectors</h1>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.legend.html#matplotlib.axes.Axes.legend" title="matplotlib.axes.Axes.legend" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">legend</span></a><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;lower left&quot;</span><span class="p">)</span>
 <span class="c1"># Use an utility function to add tick labels and land and ocean features to the</span>
 <span class="c1"># map.</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.161 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-vector-uncoupled-py">
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-<p><a class="reference download internal" download="" href="../_downloads/e45971ded674b67a36eb99a34c5f747b/vector_uncoupled.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">vector_uncoupled.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.205 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-gallery-vector-uncoupled-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/b7f1f56f79deb3904a931d46f6d14e69/vector_uncoupled.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">vector_uncoupled.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/e45971ded674b67a36eb99a34c5f747b/vector_uncoupled.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">vector_uncoupled.py</span></code></a></p>
+</div>
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 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
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diff --git a/dev/genindex.html b/dev/genindex.html
index e4bda12f7..cf48ea1be 100644
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+++ b/dev/genindex.html
@@ -2,7 +2,9 @@
 
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+
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@@ -10,726 +12,411 @@
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 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
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-     K-Fold cross-validation with blocks
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
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-     Mask grid points by convex hull
-    </a>
-   </li>
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-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
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-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
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- <li class="toctree-l1">
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-   Evaluating Performance
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- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
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-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
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-     verde.Cubic
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-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-     verde.Trend
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-     verde.Chain
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-     verde.Vector
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-     verde.train_test_split
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-     verde.cross_val_score
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-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
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-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
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-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
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-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
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-     verde.block_split
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-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
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-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
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-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
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-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
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-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
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-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
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-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
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-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-   </li>
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-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
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-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
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-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
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-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
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- <li class="toctree-l1">
-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
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-   References
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-   Changelog
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-   Version compatibility
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-   Documentation for other versions
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+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Community
- </span>
-</p>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="citing.html">Citing Verde</a></li>
+<li class="toctree-l1"><a class="reference internal" href="references.html">References</a></li>
+<li class="toctree-l1"><a class="reference internal" href="changes.html">Changelog</a></li>
+<li class="toctree-l1"><a class="reference internal" href="compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="versions.html">Documentation for other versions</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Community</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference external" href="https://www.fatiando.org/contact/">
-   Join the community
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">
-   How to contribute
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">
-   Code of Conduct
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde">
-   Source code on GitHub
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://www.fatiando.org">
-   The Fatiando a Terra project
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org/contact/">Join the community</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">How to contribute</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">Code of Conduct</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde">Source code on GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org">The Fatiando a Terra project</a></li>
 </ul>
 
     </div>
 </nav></div>
-        <div class="bd-sidebar__bottom">
-             <!-- To handle the deprecated key -->
-            
-            <div class="navbar_extra_footer">
-            Theme by the <a href="https://ebp.jupyterbook.org">Executable Book Project</a>
-            </div>
-            
-        </div>
     </div>
-    <div id="rtd-footer-container"></div>
-</div>
-
-
-          
+  
+  
+  <div class="sidebar-primary-items__end sidebar-primary__section">
+  </div>
+  
+  <div id="rtd-footer-container"></div>
 
 
-          
-<!-- A tiny helper pixel to detect if we've scrolled -->
-<div class="sbt-scroll-pixel-helper"></div>
-<!-- Main content -->
-<div class="col py-0 content-container">
-    
-    <div class="header-article row sticky-top noprint">
+      </div>
+      
+      <main id="main-content" class="bd-main">
+        
         
 
+<div class="sbt-scroll-pixel-helper"></div>
 
-
-<div class="col py-1 d-flex header-article-main">
-    <div class="header-article__left">
-        
-        <label for="__navigation"
-  class="headerbtn"
-  data-toggle="tooltip"
-data-placement="right"
-title="Toggle navigation"
->
+          <div class="bd-content">
+            <div class="bd-article-container">
+              
+              <div class="bd-header-article">
+<div class="header-article-items header-article__inner">
+  
+    <div class="header-article-items__start">
+      
+        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+  <span class="fa-solid fa-bars"></span>
+</label></div>
+      
+    </div>
   
+  
+    <div class="header-article-items__end">
+      
+        <div class="header-article-item">
 
-<span class="headerbtn__icon-container">
-  <i class="fas fa-bars"></i>
-  </span>
+<div class="article-header-buttons">
 
-</label>
 
-        
-    </div>
-    <div class="header-article__right">
-<button onclick="toggleFullScreen()"
-  class="headerbtn"
-  data-toggle="tooltip"
-data-placement="bottom"
-title="Fullscreen mode"
->
-  
 
-<span class="headerbtn__icon-container">
-  <i class="fas fa-expand"></i>
-  </span>
 
-</button>
 
-<div class="menu-dropdown menu-dropdown-repository-buttons">
-  <button class="headerbtn menu-dropdown__trigger"
-      aria-label="Source repositories">
-      <i class="fab fa-github"></i>
+<div class="dropdown dropdown-source-buttons">
+  <button class="btn dropdown-toggle" type="button" data-bs-toggle="dropdown" aria-expanded="false" aria-label="Source repositories">
+    <i class="fab fa-github"></i>
   </button>
-  <div class="menu-dropdown__content">
-    <ul>
-      <li>
-        <a href="https://github.com/fatiando/verde"
-   class="headerbtn"
-   data-toggle="tooltip"
-data-placement="left"
-title="Source repository"
+  <ul class="dropdown-menu">
+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde" target="_blank"
+   class="btn btn-sm btn-source-repository-button dropdown-item"
+   title="Source repository"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fab fa-github"></i>
   </span>
-<span class="headerbtn__text-container">repository</span>
+<span class="btn__text-container">Repository</span>
 </a>
-
-      </li>
+</li>
       
-      <li>
-        <a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2Fgenindex.html&body=Your%20issue%20content%20here."
-   class="headerbtn"
-   data-toggle="tooltip"
-data-placement="left"
-title="Open an issue"
+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2Fgenindex.html&body=Your%20issue%20content%20here." target="_blank"
+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fas fa-lightbulb"></i>
   </span>
-<span class="headerbtn__text-container">open issue</span>
+<span class="btn__text-container">Open issue</span>
 </a>
-
-      </li>
+</li>
       
-    </ul>
-  </div>
+  </ul>
 </div>
 
+
+
+
+<button onclick="toggleFullScreen()"
+  class="btn btn-sm btn-fullscreen-button"
+  title="Fullscreen mode"
+  data-bs-placement="bottom" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script>
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+  </button>
+`);
+</script>
+
+</div></div>
+      
     </div>
+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1></h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
 
 <h1 id="index">Index</h1>
 
@@ -886,6 +573,42 @@ <h2 id="F">F</h2>
 <h2 id="G">G</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.get_metadata_routing">get_metadata_routing() (verde.base.BaseBlockCrossValidator method)</a>
+
+      <ul>
+        <li><a href="api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.get_metadata_routing">(verde.base.BaseGridder method)</a>
+</li>
+        <li><a href="api/generated/verde.BlockKFold.html#verde.BlockKFold.get_metadata_routing">(verde.BlockKFold method)</a>
+</li>
+        <li><a href="api/generated/verde.BlockMean.html#verde.BlockMean.get_metadata_routing">(verde.BlockMean method)</a>
+</li>
+        <li><a href="api/generated/verde.BlockReduce.html#verde.BlockReduce.get_metadata_routing">(verde.BlockReduce method)</a>
+</li>
+        <li><a href="api/generated/verde.BlockShuffleSplit.html#verde.BlockShuffleSplit.get_metadata_routing">(verde.BlockShuffleSplit method)</a>
+</li>
+        <li><a href="api/generated/verde.Chain.html#verde.Chain.get_metadata_routing">(verde.Chain method)</a>
+</li>
+        <li><a href="api/generated/verde.Cubic.html#verde.Cubic.get_metadata_routing">(verde.Cubic method)</a>
+</li>
+        <li><a href="api/generated/verde.KNeighbors.html#verde.KNeighbors.get_metadata_routing">(verde.KNeighbors method)</a>
+</li>
+        <li><a href="api/generated/verde.Linear.html#verde.Linear.get_metadata_routing">(verde.Linear method)</a>
+</li>
+        <li><a href="api/generated/verde.ScipyGridder.html#verde.ScipyGridder.get_metadata_routing">(verde.ScipyGridder method)</a>
+</li>
+        <li><a href="api/generated/verde.Spline.html#verde.Spline.get_metadata_routing">(verde.Spline method)</a>
+</li>
+        <li><a href="api/generated/verde.SplineCV.html#verde.SplineCV.get_metadata_routing">(verde.SplineCV method)</a>
+</li>
+        <li><a href="api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.get_metadata_routing">(verde.synthetic.CheckerBoard method)</a>
+</li>
+        <li><a href="api/generated/verde.Trend.html#verde.Trend.get_metadata_routing">(verde.Trend method)</a>
+</li>
+        <li><a href="api/generated/verde.Vector.html#verde.Vector.get_metadata_routing">(verde.Vector method)</a>
+</li>
+        <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.get_metadata_routing">(verde.VectorSpline2D method)</a>
+</li>
+      </ul></li>
       <li><a href="api/generated/verde.base.BaseBlockCrossValidator.html#verde.base.BaseBlockCrossValidator.get_n_splits">get_n_splits() (verde.base.BaseBlockCrossValidator method)</a>
 
       <ul>
@@ -1175,8 +898,32 @@ <h2 id="S">S</h2>
         <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.score">(verde.VectorSpline2D method)</a>
 </li>
       </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.set_fit_request">set_fit_request() (verde.base.BaseGridder method)</a>
+
+      <ul>
+        <li><a href="api/generated/verde.Chain.html#verde.Chain.set_fit_request">(verde.Chain method)</a>
+</li>
+        <li><a href="api/generated/verde.Cubic.html#verde.Cubic.set_fit_request">(verde.Cubic method)</a>
+</li>
+        <li><a href="api/generated/verde.KNeighbors.html#verde.KNeighbors.set_fit_request">(verde.KNeighbors method)</a>
+</li>
+        <li><a href="api/generated/verde.Linear.html#verde.Linear.set_fit_request">(verde.Linear method)</a>
+</li>
+        <li><a href="api/generated/verde.ScipyGridder.html#verde.ScipyGridder.set_fit_request">(verde.ScipyGridder method)</a>
+</li>
+        <li><a href="api/generated/verde.Spline.html#verde.Spline.set_fit_request">(verde.Spline method)</a>
+</li>
+        <li><a href="api/generated/verde.SplineCV.html#verde.SplineCV.set_fit_request">(verde.SplineCV method)</a>
+</li>
+        <li><a href="api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.set_fit_request">(verde.synthetic.CheckerBoard method)</a>
+</li>
+        <li><a href="api/generated/verde.Trend.html#verde.Trend.set_fit_request">(verde.Trend method)</a>
+</li>
+        <li><a href="api/generated/verde.Vector.html#verde.Vector.set_fit_request">(verde.Vector method)</a>
+</li>
+        <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.set_fit_request">(verde.VectorSpline2D method)</a>
+</li>
+      </ul></li>
       <li><a href="api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.set_params">set_params() (verde.base.BaseGridder method)</a>
 
       <ul>
@@ -1205,6 +952,60 @@ <h2 id="S">S</h2>
         <li><a href="api/generated/verde.Vector.html#verde.Vector.set_params">(verde.Vector method)</a>
 </li>
         <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.set_params">(verde.VectorSpline2D method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.set_predict_request">set_predict_request() (verde.base.BaseGridder method)</a>
+
+      <ul>
+        <li><a href="api/generated/verde.Chain.html#verde.Chain.set_predict_request">(verde.Chain method)</a>
+</li>
+        <li><a href="api/generated/verde.Cubic.html#verde.Cubic.set_predict_request">(verde.Cubic method)</a>
+</li>
+        <li><a href="api/generated/verde.KNeighbors.html#verde.KNeighbors.set_predict_request">(verde.KNeighbors method)</a>
+</li>
+        <li><a href="api/generated/verde.Linear.html#verde.Linear.set_predict_request">(verde.Linear method)</a>
+</li>
+        <li><a href="api/generated/verde.ScipyGridder.html#verde.ScipyGridder.set_predict_request">(verde.ScipyGridder method)</a>
+</li>
+        <li><a href="api/generated/verde.Spline.html#verde.Spline.set_predict_request">(verde.Spline method)</a>
+</li>
+        <li><a href="api/generated/verde.SplineCV.html#verde.SplineCV.set_predict_request">(verde.SplineCV method)</a>
+</li>
+        <li><a href="api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.set_predict_request">(verde.synthetic.CheckerBoard method)</a>
+</li>
+        <li><a href="api/generated/verde.Trend.html#verde.Trend.set_predict_request">(verde.Trend method)</a>
+</li>
+        <li><a href="api/generated/verde.Vector.html#verde.Vector.set_predict_request">(verde.Vector method)</a>
+</li>
+        <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.set_predict_request">(verde.VectorSpline2D method)</a>
+</li>
+      </ul></li>
+      <li><a href="api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.set_score_request">set_score_request() (verde.base.BaseGridder method)</a>
+
+      <ul>
+        <li><a href="api/generated/verde.Chain.html#verde.Chain.set_score_request">(verde.Chain method)</a>
+</li>
+        <li><a href="api/generated/verde.Cubic.html#verde.Cubic.set_score_request">(verde.Cubic method)</a>
+</li>
+        <li><a href="api/generated/verde.KNeighbors.html#verde.KNeighbors.set_score_request">(verde.KNeighbors method)</a>
+</li>
+        <li><a href="api/generated/verde.Linear.html#verde.Linear.set_score_request">(verde.Linear method)</a>
+</li>
+        <li><a href="api/generated/verde.ScipyGridder.html#verde.ScipyGridder.set_score_request">(verde.ScipyGridder method)</a>
+</li>
+        <li><a href="api/generated/verde.Spline.html#verde.Spline.set_score_request">(verde.Spline method)</a>
+</li>
+        <li><a href="api/generated/verde.SplineCV.html#verde.SplineCV.set_score_request">(verde.SplineCV method)</a>
+</li>
+        <li><a href="api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard.set_score_request">(verde.synthetic.CheckerBoard method)</a>
+</li>
+        <li><a href="api/generated/verde.Trend.html#verde.Trend.set_score_request">(verde.Trend method)</a>
+</li>
+        <li><a href="api/generated/verde.Vector.html#verde.Vector.set_score_request">(verde.Vector method)</a>
+</li>
+        <li><a href="api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D.set_score_request">(verde.VectorSpline2D method)</a>
 </li>
       </ul></li>
       <li><a href="api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map">setup_baja_bathymetry_map() (in module verde.datasets)</a>
@@ -1272,35 +1073,71 @@ <h2 id="V">V</h2>
 
 
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
 </div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
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+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
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+  </div>
+  
+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
-      </div>
+      </main>
     </div>
+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/index.html b/dev/index.html
index 1589187d0..b4fb818be 100644
--- a/dev/index.html
+++ b/dev/index.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="./" >
+
   <head>
     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
   <!-- Loaded before other Sphinx assets -->
-  <link href="_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
-    
-  <link rel="stylesheet"
-    href="_static/vendor/fontawesome/5.13.0/css/all.min.css">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
-  <link rel="preload" as="font" type="font/woff2" crossorigin
-    href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
-
-    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
-    <link rel="stylesheet" href="_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" type="text/css" />
+  
+  <link href="_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
+
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=384b581d" />
     <link rel="stylesheet" type="text/css" href="_static/plot_directive.css" />
-    <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
-    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
-    <link rel="stylesheet" type="text/css" href="_static/sg_gallery.css" />
-    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-binder.css" />
-    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-dataframe.css" />
-    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-rendered-html.css" />
-    <link rel="stylesheet" type="text/css" href="_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css" />
-    
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery.css?v=61a4c737" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css?v=44687e0a" />
+  
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
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-    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
-    <script src="_static/doctools.js"></script>
-    <script src="_static/clipboard.min.js"></script>
-    <script src="_static/copybutton.js"></script>
-    <script src="_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
-    <script src="_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="_static/favicon.png"/>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'index';</script>
+    <link rel="icon" href="_static/favicon.png"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Overview" href="tutorials/overview.html" />
@@ -54,790 +64,452 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="#">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-      <img src="_static/verde-logo.png" class="logo" alt="logo">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
+        
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="#">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
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 <p><strong>Verde</strong> is a Python library for processing spatial data (bathymetry,
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diff --git a/dev/install.html b/dev/install.html
index 2d61d787b..3c9b6b90e 100644
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+    <link rel="stylesheet" type="text/css" href="_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css?v=44687e0a" />
+  
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-  <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
-
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-    <script src="_static/jquery.js"></script>
-    <script src="_static/underscore.js"></script>
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-    <link rel="shortcut icon" href="_static/favicon.png"/>
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
+    <script src="_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'install';</script>
+    <link rel="icon" href="_static/favicon.png"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Gallery" href="gallery/index.html" />
@@ -55,821 +65,462 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-      <img src="_static/verde-logo.png" class="logo" alt="logo">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
-      
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
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-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
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-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   <li class="toctree-l2">
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-     verde.datasets.fetch_california_gps
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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-   Documentation for other versions
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
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-  <a class="reference internal nav-link" href="#dependencies">
-   Dependencies
-  </a>
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+    <h1>Installing</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#which-python">Which Python?</a></li>
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+                  
   <section id="installing">
-<span id="install"></span><h1>Installing<a class="headerlink" href="#installing" title="Permalink to this headline">#</a></h1>
+<span id="install"></span><h1>Installing<a class="headerlink" href="#installing" title="Link to this heading">#</a></h1>
 <p>There are different ways to install Verde:</p>
 <div class="sd-tab-set docutils">
-<input checked="checked" id="ea902a80-93c0-48d1-8518-00e6929aa4dc" name="239a0ffc-66b3-4142-9e00-5dec75192c35" type="radio">
-</input><label class="sd-tab-label" for="ea902a80-93c0-48d1-8518-00e6929aa4dc">
+<input checked="checked" id="sd-tab-item-0" name="sd-tab-set-0" type="radio">
+</input><label class="sd-tab-label" for="sd-tab-item-0">
 pip</label><div class="sd-tab-content docutils">
 <p>Using the <a class="reference external" href="https://pypi.org/project/pip/">pip</a> package manager:</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python -m pip install verde
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>verde
 </pre></div>
 </div>
 </div>
-<input id="ef59cd86-cb1a-4edd-9385-092e336f7460" name="239a0ffc-66b3-4142-9e00-5dec75192c35" type="radio">
-</input><label class="sd-tab-label" for="ef59cd86-cb1a-4edd-9385-092e336f7460">
+<input id="sd-tab-item-1" name="sd-tab-set-0" type="radio">
+</input><label class="sd-tab-label" for="sd-tab-item-1">
 conda/mamba</label><div class="sd-tab-content docutils">
 <p>Using the <a class="reference external" href="https://conda.io/">conda package manager</a> (or <code class="docutils literal notranslate"><span class="pre">mamba</span></code>)
 that comes with the Anaconda/Miniconda distribution:</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda install verde --channel conda-forge
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>verde<span class="w"> </span>--channel<span class="w"> </span>conda-forge
 </pre></div>
 </div>
 </div>
-<input id="91a2e147-521e-492e-8e06-e62b2e704cf8" name="239a0ffc-66b3-4142-9e00-5dec75192c35" type="radio">
-</input><label class="sd-tab-label" for="91a2e147-521e-492e-8e06-e62b2e704cf8">
+<input id="sd-tab-item-2" name="sd-tab-set-0" type="radio">
+</input><label class="sd-tab-label" for="sd-tab-item-2">
 Development version</label><div class="sd-tab-content docutils">
 <p>You can use <code class="docutils literal notranslate"><span class="pre">pip</span></code> to install the latest <strong>unreleased</strong> version from
 GitHub (<strong>not recommended</strong> in most situations):</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python -m pip install --upgrade git+https://github.com/fatiando/verde
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>--upgrade<span class="w"> </span>git+https://github.com/fatiando/verde
 </pre></div>
 </div>
 </div>
@@ -880,12 +531,12 @@ <h2> Contents </h2>
 <code class="docutils literal notranslate"><span class="pre">cmd.exe</span></code> or the “Anaconda Prompt” app if you’re using Anaconda.</p>
 </div>
 <section id="which-python">
-<h2>Which Python?<a class="headerlink" href="#which-python" title="Permalink to this headline">#</a></h2>
+<h2>Which Python?<a class="headerlink" href="#which-python" title="Link to this heading">#</a></h2>
 <p>You’ll need <strong>Python &gt;= 3.7</strong>.
 See <a class="reference internal" href="compatibility.html#python-versions"><span class="std std-ref">Supported Python versions</span></a> if you require support for older versions.</p>
 </section>
 <section id="dependencies">
-<span id="id1"></span><h2>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to this headline">#</a></h2>
+<span id="id1"></span><h2>Dependencies<a class="headerlink" href="#dependencies" title="Link to this heading">#</a></h2>
 <p>The required dependencies should be installed automatically when you install
 Verde using <code class="docutils literal notranslate"><span class="pre">conda</span></code> or <code class="docutils literal notranslate"><span class="pre">pip</span></code>.</p>
 <p>Required:</p>
@@ -905,7 +556,7 @@ <h2>Which Python?<a class="headerlink" href="#which-python" title="Permalink to
 predictions and Jacobian matrices in splines with faster and more memory
 efficient multi-threaded versions.</p></li>
 <li><p><a class="reference external" href="https://github.com/storpipfugl/pykdtree">pykdtree</a>: replaces
-<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.10.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance in near neighbor
+<a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html#scipy.spatial.cKDTree" title="(in SciPy v1.12.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.spatial.cKDTree</span></code></a> for better performance in near neighbor
 calculations used in blocked operations, distance masking, etc.</p></li>
 </ul>
 <p>Our examples use other packages as well which are not used within Verde itself.
@@ -921,49 +572,103 @@ <h2>Which Python?<a class="headerlink" href="#which-python" title="Permalink to
 </section>
 
 
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\ No newline at end of file
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index 9a74eb43a..a5ef8c3e4 100644
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+
+<html lang="en" data-content_root="./" >
+
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     <meta charset="utf-8" />
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         <title>Python Module Index | Verde dev</title>
     
 
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@@ -55,684 +65,361 @@
 
 
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+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="index.html">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
       
       
-      <img src="_static/verde-logo.png" class="logo" alt="logo">
-      
-      
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
+        
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="references.html">
-   References
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-   Changelog
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- <li class="toctree-l1">
-  <a class="reference internal" href="compatibility.html">
-   Version compatibility
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Community
- </span>
-</p>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="citing.html">Citing Verde</a></li>
+<li class="toctree-l1"><a class="reference internal" href="references.html">References</a></li>
+<li class="toctree-l1"><a class="reference internal" href="changes.html">Changelog</a></li>
+<li class="toctree-l1"><a class="reference internal" href="compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="versions.html">Documentation for other versions</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Community</span></p>
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-   How to contribute
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- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">
-   Code of Conduct
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde">
-   Source code on GitHub
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- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://www.fatiando.org">
-   The Fatiando a Terra project
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org/contact/">Join the community</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">How to contribute</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">Code of Conduct</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde">Source code on GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org">The Fatiando a Terra project</a></li>
 </ul>
 
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+      </div>
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+      <main id="main-content" class="bd-main">
+        
         
 
+<div class="sbt-scroll-pixel-helper"></div>
 
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->
+          <div class="bd-content">
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+  
+    <div class="header-article-items__start">
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+  <span class="fa-solid fa-bars"></span>
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+    <div class="header-article-items__end">
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+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
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+<span class="btn__icon-container">
   <i class="fas fa-lightbulb"></i>
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+<span class="btn__text-container">Open issue</span>
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+
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+  data-bs-placement="bottom" data-bs-toggle="tooltip"
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+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script>
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+  </button>
+`);
+</script>
+
+</div></div>
+      
     </div>
+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1></h1>
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-                        
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-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
 
    <h1>Python Module Index</h1>
 
@@ -758,35 +445,71 @@ <h1>Python Module Index</h1>
    </table>
 
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
+
+              
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+                <footer class="prev-next-footer">
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+<div class="prev-next-area">
 </div>
-            </footer>
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-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
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+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
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+  </div>
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+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
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+      </main>
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+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
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+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/references.html b/dev/references.html
index e0c2f7b49..e84414717 100644
--- a/dev/references.html
+++ b/dev/references.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="./" >
+
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>References | Verde dev</title>
     
 
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+  
+  
+  
+  <script data-cfasync="false">
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+    <script src="_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'references';</script>
+    <link rel="icon" href="_static/favicon.png"/>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Changelog" href="changes.html" />
@@ -55,809 +65,530 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
-      
-      <img src="_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
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-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
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-   </li>
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-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-   </li>
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-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
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-     verde.get_region
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-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
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-   <li class="toctree-l2">
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-     verde.inside
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-   <li class="toctree-l2">
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-     verde.block_split
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
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-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
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-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
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-   </li>
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-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
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-     verde.ScipyGridder
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-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
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-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
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-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
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-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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-  <a class="reference internal" href="citing.html">
-   Citing Verde
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- <li class="toctree-l1">
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-   Documentation for other versions
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+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="versions.html">Documentation for other versions</a></li>
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-<dl class="citation">
-<dt class="label" id="roberts-etal2017"><span class="brackets">Roberts_etal2017</span></dt>
-<dd><p>Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J., Guillera‐Arroita, G., et al. (2017). Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography, 40(8), 913–929. <a class="reference external" href="https://doi.org/10.1111/ecog.02881">https://doi.org/10.1111/ecog.02881</a></p>
-</dd>
-<dt class="label" id="sandwell1987"><span class="brackets">Sandwell1987</span></dt>
-<dd><p>Sandwell, D. T. (1987). Biharmonic spline interpolation of GEOS-3 and SEASAT altimeter data. Geophysical Research Letters, 14(2), 139–142. <a class="reference external" href="https://doi.org/10.1029/GL014i002p00139">https://doi.org/10.1029/GL014i002p00139</a></p>
-</dd>
-<dt class="label" id="sandwellwessel2016"><span class="brackets">SandwellWessel2016</span></dt>
-<dd><p>Sandwell, D. T., &amp; Wessel, P. (2016). Interpolation of 2-D vector data using constraints from elasticity. Geophysical Research Letters, 43(20), 2016GL070340. <a class="reference external" href="https://doi.org/10.1002/2016GL070340">https://doi.org/10.1002/2016GL070340</a></p>
-</dd>
-<dt class="label" id="valavi-etal2019"><span class="brackets">Valavi_etal2019</span></dt>
-<dd><p>Valavi, R., Elith, J., Lahoz‐Monfort, J. J., &amp; Guillera‐Arroita, G. (2019). blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models. Methods in Ecology and Evolution, 10(2), 225–232. <a class="reference external" href="https://doi.org/10.1111/2041-210X.13107">https://doi.org/10.1111/2041-210X.13107</a></p>
-</dd>
-</dl>
+<h1>References<a class="headerlink" href="#references" title="Link to this heading">#</a></h1>
+<div role="list" class="citation-list">
+<div class="citation" id="roberts-etal2017" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Roberts_etal2017<span class="fn-bracket">]</span></span>
+<p>Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J., Guillera‐Arroita, G., et al. (2017). Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography, 40(8), 913–929. <a class="reference external" href="https://doi.org/10.1111/ecog.02881">https://doi.org/10.1111/ecog.02881</a></p>
+</div>
+<div class="citation" id="sandwell1987" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Sandwell1987<span class="fn-bracket">]</span></span>
+<p>Sandwell, D. T. (1987). Biharmonic spline interpolation of GEOS-3 and SEASAT altimeter data. Geophysical Research Letters, 14(2), 139–142. <a class="reference external" href="https://doi.org/10.1029/GL014i002p00139">https://doi.org/10.1029/GL014i002p00139</a></p>
+</div>
+<div class="citation" id="sandwellwessel2016" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>SandwellWessel2016<span class="fn-bracket">]</span></span>
+<p>Sandwell, D. T., &amp; Wessel, P. (2016). Interpolation of 2-D vector data using constraints from elasticity. Geophysical Research Letters, 43(20), 2016GL070340. <a class="reference external" href="https://doi.org/10.1002/2016GL070340">https://doi.org/10.1002/2016GL070340</a></p>
+</div>
+<div class="citation" id="valavi-etal2019" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Valavi_etal2019<span class="fn-bracket">]</span></span>
+<p>Valavi, R., Elith, J., Lahoz‐Monfort, J. J., &amp; Guillera‐Arroita, G. (2019). blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models. Methods in Ecology and Evolution, 10(2), 225–232. <a class="reference external" href="https://doi.org/10.1111/2041-210X.13107">https://doi.org/10.1111/2041-210X.13107</a></p>
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+<a class="navbar-brand logo" href="index.html">
+  
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+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
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+</a></div>
+        <div class="sidebar-primary-item">
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 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
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-   Gallery
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/checkerboard.html">
-     Checkerboard function
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
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-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
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-  <label for="toctree-checkbox-2">
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
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-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
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-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
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-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
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-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
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-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Community
- </span>
-</p>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="citing.html">Citing Verde</a></li>
+<li class="toctree-l1"><a class="reference internal" href="references.html">References</a></li>
+<li class="toctree-l1"><a class="reference internal" href="changes.html">Changelog</a></li>
+<li class="toctree-l1"><a class="reference internal" href="compatibility.html">Version compatibility</a></li>
+<li class="toctree-l1"><a class="reference internal" href="versions.html">Documentation for other versions</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Community</span></p>
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- <li class="toctree-l1">
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-  <a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">
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- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://github.com/fatiando/verde">
-   Source code on GitHub
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- </li>
- <li class="toctree-l1">
-  <a class="reference external" href="https://www.fatiando.org">
-   The Fatiando a Terra project
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org/contact/">Join the community</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">How to contribute</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">Code of Conduct</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde">Source code on GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org">The Fatiando a Terra project</a></li>
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     </div>
 </nav></div>
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+  
+  
+  <div class="sidebar-primary-items__end sidebar-primary__section">
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+  <div id="rtd-footer-container"></div>
 
 
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-    
-    <div class="header-article row sticky-top noprint">
+      </div>
+      
+      <main id="main-content" class="bd-main">
+        
         
 
+<div class="sbt-scroll-pixel-helper"></div>
 
-
-<div class="col py-1 d-flex header-article-main">
-    <div class="header-article__left">
-        
-        <label for="__navigation"
-  class="headerbtn"
-  data-toggle="tooltip"
-data-placement="right"
-title="Toggle navigation"
->
+          <div class="bd-content">
+            <div class="bd-article-container">
+              
+              <div class="bd-header-article">
+<div class="header-article-items header-article__inner">
+  
+    <div class="header-article-items__start">
+      
+        <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+  <span class="fa-solid fa-bars"></span>
+</label></div>
+      
+    </div>
+  
   
+    <div class="header-article-items__end">
+      
+        <div class="header-article-item">
 
-<span class="headerbtn__icon-container">
-  <i class="fas fa-bars"></i>
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+<div class="article-header-buttons">
 
-</label>
 
-        
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-<button onclick="toggleFullScreen()"
-  class="headerbtn"
-  data-toggle="tooltip"
-data-placement="bottom"
-title="Fullscreen mode"
->
-  
 
-<span class="headerbtn__icon-container">
-  <i class="fas fa-expand"></i>
-  </span>
 
-</button>
 
-<div class="menu-dropdown menu-dropdown-repository-buttons">
-  <button class="headerbtn menu-dropdown__trigger"
-      aria-label="Source repositories">
-      <i class="fab fa-github"></i>
+<div class="dropdown dropdown-source-buttons">
+  <button class="btn dropdown-toggle" type="button" data-bs-toggle="dropdown" aria-expanded="false" aria-label="Source repositories">
+    <i class="fab fa-github"></i>
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-  <div class="menu-dropdown__content">
-    <ul>
-      <li>
-        <a href="https://github.com/fatiando/verde"
-   class="headerbtn"
-   data-toggle="tooltip"
-data-placement="left"
-title="Source repository"
+  <ul class="dropdown-menu">
+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde" target="_blank"
+   class="btn btn-sm btn-source-repository-button dropdown-item"
+   title="Source repository"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fab fa-github"></i>
   </span>
-<span class="headerbtn__text-container">repository</span>
+<span class="btn__text-container">Repository</span>
 </a>
-
-      </li>
+</li>
+      
       
-      <li>
-        <a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2Fsearch.html&body=Your%20issue%20content%20here."
-   class="headerbtn"
-   data-toggle="tooltip"
-data-placement="left"
-title="Open an issue"
+      
+      
+      <li><a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2Fsearch.html&body=Your%20issue%20content%20here." target="_blank"
+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
+<span class="btn__icon-container">
   <i class="fas fa-lightbulb"></i>
   </span>
-<span class="headerbtn__text-container">open issue</span>
+<span class="btn__text-container">Open issue</span>
 </a>
-
-      </li>
+</li>
       
-    </ul>
-  </div>
+  </ul>
 </div>
 
+
+
+
+<button onclick="toggleFullScreen()"
+  class="btn btn-sm btn-fullscreen-button"
+  title="Fullscreen mode"
+  data-bs-placement="bottom" data-bs-toggle="tooltip"
+>
+  
+
+<span class="btn__icon-container">
+  <i class="fas fa-expand"></i>
+  </span>
+
+</button>
+
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script>
+
+
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
+  </button>
+`);
+</script>
+
+</div></div>
+      
     </div>
+  
+</div>
 </div>
+              
+              
+  <div class="bd-search-container">
+    <h1>Search</h1>
+    <noscript>
+      <div class="admonition error">
+        <p class="admonition-title">Error</p>
+        <p>Please activate JavaScript to enable the search functionality.</p>
+      </div>
+    </noscript>
+    
+<form class="bd-search d-flex align-items-center"
+      action="#"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form>
+    <div id="search-results"></div>
+  </div>
+  <script>
+    // Activate the search field on page load
+    let searchInput = document.querySelector("form.bd-search input");
+    if (searchInput) {
+        searchInput.focus();
+        searchInput.select();
+        console.log("[PST]: Set focus on search field.");
+    }
+  </script>
 
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
+              
+              
+              
+              
+                <footer class="prev-next-footer">
+                  
+<div class="prev-next-area">
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-    </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1></h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
+                </footer>
+              
             </div>
-            <main id="main-content" role="main">
-                
-              <div>
-                
-  <h1 id="search-documentation">Search</h1>
-  
-  <noscript>
-  <div class="admonition warning">
-  <p>
-    Please activate JavaScript to enable the search
-    functionality.
-  </p>
-  </div>
-  </noscript>
-  
-  
-  <p>
-    Searching for multiple words only shows matches that contain
-    all words.
-  </p>
-  
-  
-  <form action="" method="get">
-    <input type="text" name="q" aria-labelledby="search-documentation" value="" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
-    <input type="submit" value="search" />
-    <span id="search-progress" style="padding-left: 10px"></span>
-  </form>
-  
-  
-  
-  <div id="search-results">
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
   
+  <div class="footer-item">
+    
   </div>
   
+  <div class="footer-item">
+    
 
-              </div>
-              
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
-</div>
-            </footer>
-        </div>
-    </div>
-    <div class="footer-content row">
-        <footer class="col footer"><p>
+  <p class="copyright">
+    
+      © Copyright 2017-2024, The Verde Developers.
+      <br/>
+    
+  </p>
+
+  </div>
   
-      &copy; Copyright 2017-2023, The Verde Developers.<br/>
-    Last updated on May 08, 2023.<br/>
+  <div class="footer-item">
+    <p class="last-updated">
+  Last updated on Feb 06, 2024.
+  <br/>
 </p>
-        </footer>
-    </div>
+  </div>
+  
+  <div class="footer-item">
     
+  </div>
+  
 </div>
+          </footer>
+        
 
-
-      </div>
+      </main>
     </div>
+  </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
-
+  <script src="_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
+  <footer class="bd-footer">
+  </footer>
   </body>
 </html>
\ No newline at end of file
diff --git a/dev/searchindex.js b/dev/searchindex.js
index 5706009a0..34dd264a1 100644
--- a/dev/searchindex.js
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of functions and classes (API)","Changelog","Citing Verde","Version compatibility","K-Fold cross-validation with blocks","Blocked reduction operations","Using weights in blocked reduction","Using weights in blocked means","Checkerboard function","Mask grid points by convex hull","Gridding with a cubic interpolator","Mask grid points by distance","Gallery","Gridding with a nearest-neighbors interpolator","Gridding with a linear interpolator","Projection of gridded data","Computation times","Gridding with splines","Gridding with splines (cross-validated)","Gridding with splines and weights","Splitting data into train and test sets","Polynomial trend","Trends in vector data","Gridding 2D vectors","Home","Installing","References","Chaining Operations","Data Decimation","Grid Coordinates","Tutorials","Evaluating Performance","Model Selection","Overview","Geographic Coordinates","Computation times","Trend Estimation","Vector Data","Using Weights","Documentation for other 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"verde.base.BaseGridder.get_params"]], "grid() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.grid"]], "predict() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.predict"]], "profile() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.profile"]], "scatter() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.scatter"]], "score() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.score"]], "set_fit_request() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.set_fit_request"]], "set_params() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.set_params"]], "set_predict_request() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.set_predict_request"]], "set_score_request() (verde.base.basegridder method)": [[15, "verde.base.BaseGridder.set_score_request"]], "check_fit_input() (in module verde.base)": [[16, "verde.base.check_fit_input"]], "least_squares() (in module verde.base)": [[17, "verde.base.least_squares"]], "n_1d_arrays() (in module verde.base)": [[18, "verde.base.n_1d_arrays"]], "block_split() (in module verde)": [[19, "verde.block_split"]], "convexhull_mask() (in module verde)": [[20, "verde.convexhull_mask"]], "cross_val_score() (in module verde)": [[21, "verde.cross_val_score"]], "fetch_baja_bathymetry() (in module verde.datasets)": [[22, "verde.datasets.fetch_baja_bathymetry"]], "fetch_california_gps() (in module verde.datasets)": [[23, "verde.datasets.fetch_california_gps"]], "fetch_rio_magnetic() (in module verde.datasets)": [[24, "verde.datasets.fetch_rio_magnetic"]], "fetch_texas_wind() (in module verde.datasets)": [[25, "verde.datasets.fetch_texas_wind"]], "locate() (in module verde.datasets)": [[26, "verde.datasets.locate"]], "setup_baja_bathymetry_map() (in module verde.datasets)": [[27, "verde.datasets.setup_baja_bathymetry_map"]], "setup_california_gps_map() (in module verde.datasets)": [[28, "verde.datasets.setup_california_gps_map"]], "setup_rio_magnetic_map() (in module verde.datasets)": [[29, "verde.datasets.setup_rio_magnetic_map"]], "setup_texas_wind_map() (in module verde.datasets)": [[30, "verde.datasets.setup_texas_wind_map"]], "distance_mask() (in module verde)": [[31, "verde.distance_mask"]], "expanding_window() (in module verde)": [[32, "verde.expanding_window"]], "get_region() (in module verde)": [[33, "verde.get_region"]], "grid_coordinates() (in module verde)": [[34, "verde.grid_coordinates"]], "grid_to_table() (in module verde)": [[35, "verde.grid_to_table"]], "inside() (in module verde)": [[36, "verde.inside"]], "line_coordinates() (in module verde)": [[37, "verde.line_coordinates"]], "load_surfer() (in module verde)": [[38, "verde.load_surfer"]], "make_xarray_grid() (in module verde)": [[39, "verde.make_xarray_grid"]], "maxabs() (in module verde)": [[40, "verde.maxabs"]], "median_distance() (in module verde)": [[41, "verde.median_distance"]], "pad_region() (in module verde)": [[42, "verde.pad_region"]], "profile_coordinates() (in module verde)": [[43, "verde.profile_coordinates"]], "project_grid() (in module verde)": [[44, "verde.project_grid"]], "project_region() (in module verde)": [[45, "verde.project_region"]], "rolling_window() (in module verde)": [[46, "verde.rolling_window"]], "scatter_points() (in module verde)": [[47, "verde.scatter_points"]], "checkerboard (class in verde.synthetic)": [[48, "verde.synthetic.CheckerBoard"]], "filter() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.filter"]], "fit() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.fit"]], "get_metadata_routing() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.get_metadata_routing"]], "get_params() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.get_params"]], "grid() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.grid"]], "predict() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.predict"]], "profile() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.profile"]], "scatter() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.scatter"]], "score() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.score"]], "set_fit_request() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.set_fit_request"]], "set_params() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.set_params"]], "set_predict_request() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.set_predict_request"]], "set_score_request() (verde.synthetic.checkerboard method)": [[48, "verde.synthetic.CheckerBoard.set_score_request"]], "train_test_split() (in module verde)": [[49, "verde.train_test_split"]], "variance_to_weights() (in module verde)": [[50, "verde.variance_to_weights"]], "module": [[51, "module-verde"], [51, "module-verde.synthetic"]], "verde": [[51, "module-verde"]], "verde.synthetic": [[51, "module-verde.synthetic"]]}})
\ No newline at end of file
diff --git a/dev/sg_execution_times.html b/dev/sg_execution_times.html
new file mode 100644
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--- /dev/null
+++ b/dev/sg_execution_times.html
@@ -0,0 +1,694 @@
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+</form></div>
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+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
+</ul>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
+<ul class="nav bd-sidenav">
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="citing.html">Citing Verde</a></li>
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+document.write(`
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+`);
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Computation times</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="computation-times">
+<span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
+<p><strong>01:02.604</strong> total execution time for 28 files <strong>from all galleries</strong>:</p>
+<div class="docutils container">
+<style scoped>
+<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+<link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+</style>
+<script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+<script type="text/javascript" class="init">
+$(document).ready( function () {
+    $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+} );
+</script><table class="table table-striped sg-datatable">
+<thead>
+<tr class="row-odd"><th class="head"><p>Example</p></th>
+<th class="head"><p>Time</p></th>
+<th class="head"><p>Mem (MB)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/blockkfold.html#sphx-glr-gallery-blockkfold-py"><span class="std std-ref">K-Fold cross-validation with blocks</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/blockkfold.py</span></code>)</p></td>
+<td><p>00:18.201</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/train_test_split.html#sphx-glr-gallery-train-test-split-py"><span class="std std-ref">Splitting data into train and test sets</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/train_test_split.py</span></code>)</p></td>
+<td><p>00:05.499</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/chain.py</span></code>)</p></td>
+<td><p>00:04.145</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/convex_hull_mask.html#sphx-glr-gallery-convex-hull-mask-py"><span class="std std-ref">Mask grid points by convex hull</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/convex_hull_mask.py</span></code>)</p></td>
+<td><p>00:03.797</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/decimation.py</span></code>)</p></td>
+<td><p>00:03.409</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/kneighbors_gridder.html#sphx-glr-gallery-kneighbors-gridder-py"><span class="std std-ref">Gridding with a nearest-neighbors interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/kneighbors_gridder.py</span></code>)</p></td>
+<td><p>00:03.376</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/distance_mask.html#sphx-glr-gallery-distance-mask-py"><span class="std std-ref">Mask grid points by distance</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/distance_mask.py</span></code>)</p></td>
+<td><p>00:02.883</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/project_grid.html#sphx-glr-gallery-project-grid-py"><span class="std std-ref">Projection of gridded data</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/project_grid.py</span></code>)</p></td>
+<td><p>00:02.759</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/cubic_gridder.html#sphx-glr-gallery-cubic-gridder-py"><span class="std std-ref">Gridding with a cubic interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/cubic_gridder.py</span></code>)</p></td>
+<td><p>00:02.498</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="tutorials/weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/weights.py</span></code>)</p></td>
+<td><p>00:02.482</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/linear_gridder.html#sphx-glr-gallery-linear-gridder-py"><span class="std std-ref">Gridding with a linear interpolator</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/linear_gridder.py</span></code>)</p></td>
+<td><p>00:02.466</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/spline.html#sphx-glr-gallery-spline-py"><span class="std std-ref">Gridding with splines</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/spline.py</span></code>)</p></td>
+<td><p>00:02.385</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/projections.py</span></code>)</p></td>
+<td><p>00:01.296</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="tutorials/vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/vectors.py</span></code>)</p></td>
+<td><p>00:01.255</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/model_evaluation.py</span></code>)</p></td>
+<td><p>00:00.806</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/blockreduce_weights_mean.html#sphx-glr-gallery-blockreduce-weights-mean-py"><span class="std std-ref">Using weights in blocked means</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/blockreduce_weights_mean.py</span></code>)</p></td>
+<td><p>00:00.793</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/spline_weights.html#sphx-glr-gallery-spline-weights-py"><span class="std std-ref">Gridding with splines and weights</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/spline_weights.py</span></code>)</p></td>
+<td><p>00:00.625</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/spline_cv.html#sphx-glr-gallery-spline-cv-py"><span class="std std-ref">Gridding with splines (cross-validated)</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/spline_cv.py</span></code>)</p></td>
+<td><p>00:00.564</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/blockreduce_weights.html#sphx-glr-gallery-blockreduce-weights-py"><span class="std std-ref">Using weights in blocked reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/blockreduce_weights.py</span></code>)</p></td>
+<td><p>00:00.561</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="tutorials/model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/model_selection.py</span></code>)</p></td>
+<td><p>00:00.551</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/overview.py</span></code>)</p></td>
+<td><p>00:00.466</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/trend.html#sphx-glr-gallery-trend-py"><span class="std std-ref">Polynomial trend</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/trend.py</span></code>)</p></td>
+<td><p>00:00.404</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/vector_trend.html#sphx-glr-gallery-vector-trend-py"><span class="std std-ref">Trends in vector data</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/vector_trend.py</span></code>)</p></td>
+<td><p>00:00.339</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="tutorials/trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/trends.py</span></code>)</p></td>
+<td><p>00:00.317</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="gallery/blockreduce.html#sphx-glr-gallery-blockreduce-py"><span class="std std-ref">Blocked reduction operations</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/blockreduce.py</span></code>)</p></td>
+<td><p>00:00.211</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/vector_uncoupled.html#sphx-glr-gallery-vector-uncoupled-py"><span class="std std-ref">Gridding 2D vectors</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/vector_uncoupled.py</span></code>)</p></td>
+<td><p>00:00.205</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorials/grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">tutorials_src/grid_coordinates.py</span></code>)</p></td>
+<td><p>00:00.197</p></td>
+<td><p>0.0</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="gallery/checkerboard.html#sphx-glr-gallery-checkerboard-py"><span class="std std-ref">Checkerboard function</span></a> (<code class="docutils literal notranslate"><span class="pre">gallery_src/checkerboard.py</span></code>)</p></td>
+<td><p>00:00.113</p></td>
+<td><p>0.0</p></td>
+</tr>
+</tbody>
+</table>
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diff --git a/dev/tutorials/chain.html b/dev/tutorials/chain.html
index 8c5972c6f..0c7a7c137 100644
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@@ -2,51 +2,61 @@
 
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-    <a class="reference internal" href="../gallery/spline_weights.html">
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-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
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-   Grid Coordinates
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-   Trend Estimation
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- </li>
- <li class="toctree-l1">
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-   Data Decimation
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- <li class="toctree-l1">
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-   Geographic Coordinates
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- <li class="toctree-l1 current active">
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- <li class="toctree-l1">
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-   Vector Data
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+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
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-     verde.SplineCV
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.convexhull_mask
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-     verde.maxabs
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-     verde.variance_to_weights
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-     verde.grid_to_table
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.datasets.locate
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-     verde.datasets.setup_baja_bathymetry_map
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-     verde.datasets.fetch_california_gps
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-     verde.datasets.setup_california_gps_map
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-     verde.datasets.fetch_texas_wind
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-     verde.datasets.setup_texas_wind_map
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-     verde.datasets.fetch_rio_magnetic
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-     verde.datasets.setup_rio_magnetic_map
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- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../versions.html">Documentation for other versions</a></li>
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+<div class="dropdown dropdown-source-buttons">
+  <button class="btn dropdown-toggle" type="button" data-bs-toggle="dropdown" aria-expanded="false" aria-label="Source repositories">
+    <i class="fab fa-github"></i>
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-<span class="headerbtn__icon-container">
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+      
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+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
 >
   
 
-<span class="headerbtn__icon-container">
-  <i class="fas fa-pencil-alt"></i>
+<span class="btn__icon-container">
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+      
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+  
 </div>
-
-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Chaining Operations</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Chaining Operations</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-chain-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-chain-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="chaining-operations">
-<span id="sphx-glr-tutorials-chain-py"></span><h1>Chaining Operations<a class="headerlink" href="#chaining-operations" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-chain-py"></span><h1>Chaining Operations<a class="headerlink" href="#chaining-operations" title="Link to this heading">#</a></h1>
 <p>Often, a data processing pipeline looks like the following:</p>
 <ol class="arabic simple">
 <li><p>Apply a blocked mean or median to the data</p></li>
@@ -823,12 +510,12 @@ <h1>Chaining Operations</h1>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">Chain</span></code></a> class was inspired by the
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.pipeline.Pipeline</span></code></a> class, which doesn’t serve our purposes
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.pipeline.Pipeline</span></code></a> class, which doesn’t serve our purposes
 because it only affects the feature matrix, not what we would call <em>data</em>
 (the target vector).</p>
 </div>
 <p>For example, let’s create a pipeline to grid our sample bathymetry data.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pygmt</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -858,13 +545,13 @@ <h1>Chaining Operations</h1>
 <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.show.html#pygmt.Figure.show" title="pygmt.Figure.show" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_chain_001.png" srcset="../_images/sphx_glr_chain_001.png" alt="chain" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;IPython.core.display.Image object&gt;
+<img src="../_images/sphx_glr_chain_001.png" srcset="../_images/sphx_glr_chain_001.png" alt="chain" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/chain.py:57: FutureWarning: The &#39;color&#39; parameter has been deprecated since v0.8.0 and will be removed in v0.12.0. Please use &#39;fill&#39; instead.
+  fig.plot(
 </pre></div>
 </div>
 <p>We’ll create a chain that applies a blocked median to the data, fits a
 polynomial trend, and then fits a standard gridder to the trend residuals.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
     <span class="p">[</span>
         <span class="p">(</span><span class="s2">&quot;reduce&quot;</span><span class="p">,</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="numpy.median" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">median</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">)),</span>
         <span class="p">(</span><span class="s2">&quot;trend&quot;</span><span class="p">,</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="n">degree</span><span class="o">=</span><span class="mi">1</span><span class="p">)),</span>
@@ -874,9 +561,8 @@ <h1>Chaining Operations</h1>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;reduce&#39;,
-              BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+              BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                           spacing=18500.0)),
              (&#39;trend&#39;, Trend(degree=1)), (&#39;spline&#39;, Spline(mindist=0))])
 </pre></div>
@@ -888,17 +574,429 @@ <h1>Chaining Operations</h1>
 <li><p>Fit a trend to the blocked data and output the residuals</p></li>
 <li><p>Fit the spline to the trend residuals</p></li>
 </ol>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain.fit" title="verde.Chain.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain.fit" title="verde.Chain.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a><span class="p">)</span>
+</pre></div>
+</div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
 </pre></div>
 </div>
 <div class="output_subarea output_html rendered_html output_result">
-<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Chain(steps=[(&#x27;reduce&#x27;,
-              BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+<style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Chain(steps=[(&#x27;reduce&#x27;,
+              BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                           spacing=18500.0)),
-             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label sk-toggleable__label-arrow">Chain</label><div class="sk-toggleable__content"><pre>Chain(steps=[(&#x27;reduce&#x27;,
-              BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Chain<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Chain(steps=[(&#x27;reduce&#x27;,
+              BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                           spacing=18500.0)),
-             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre></div></div></div></div></div>
+             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</pre></div> </div></div></div></div>
 </div>
 <br />
 <br /><p>Now that the data has been through the chain, calling
@@ -909,7 +1007,7 @@ <h1>Chaining Operations</h1>
 residuals with respect to the original data. Remember that our spline and
 trend were fit on decimated data, not the original data, so the fit won’t be
 perfect.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">residuals</span></a> <span class="o">=</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a> <span class="o">-</span> <a href="../api/generated/verde.Chain.html#verde.Chain.predict" title="verde.Chain.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">residuals</span></a> <span class="o">=</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a> <span class="o">-</span> <a href="../api/generated/verde.Chain.html#verde.Chain.predict" title="verde.Chain.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.title.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">&quot;Histogram of fit residuals&quot;</span><span class="p">)</span>
@@ -922,7 +1020,7 @@ <h1>Chaining Operations</h1>
 <img src="../_images/sphx_glr_chain_002.png" srcset="../_images/sphx_glr_chain_002.png" alt="Histogram of fit residuals" class = "sphx-glr-single-img"/><p>Likewise, <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain.grid" title="verde.Chain.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Chain.grid</span></code></a> creates a grid of the combined trend and
 spline predictions. This is equivalent to a <em>remove-compute-restore</em>
 procedure that should be familiar to the geodesists among us.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain.grid" title="verde.Chain.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain.grid" title="verde.Chain.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">,</span>
@@ -1310,7 +1408,7 @@ <h1>Chaining Operations</h1>
 Data variables:
     bathymetry  (latitude, longitude) float64 -3.621e+03 -3.709e+03 ... nan nan
 Attributes:
-    metadata:  Generated by Chain(steps=[(&#x27;reduce&#x27;,\n              BlockReduc...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f877f9c0-1d61-4eac-b0df-c8184f368d56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f877f9c0-1d61-4eac-b0df-c8184f368d56' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e3ccbadb-21e8-4d52-ab5d-7f8438da43e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3ccbadb-21e8-4d52-ab5d-7f8438da43e3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-3a33a454-1011-413e-a56e-c4b40d04beac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a33a454-1011-413e-a56e-c4b40d04beac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22ae43f2-3765-4065-bc4f-6414cc19efbe' class='xr-var-data-in' type='checkbox'><label for='data-22ae43f2-3765-4065-bc4f-6414cc19efbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
+    metadata:  Generated by Chain(steps=[(&#x27;reduce&#x27;,\n              BlockReduc...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2a2ddd89-5adb-4e5a-87f2-c96a69ed9dcd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a2ddd89-5adb-4e5a-87f2-c96a69ed9dcd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4320cb6f-49b0-46f2-919e-0d359f8872f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4320cb6f-49b0-46f2-919e-0d359f8872f3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-556e7e8d-fd54-4248-a998-ece5d07fd7d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-556e7e8d-fd54-4248-a998-ece5d07fd7d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-615e781b-8c9e-475a-babb-8c7fa4606f4a' class='xr-var-data-in' type='checkbox'><label for='data-615e781b-8c9e-475a-babb-8c7fa4606f4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
        246.003966, 246.171293, 246.338621, 246.505948, 246.673276, 246.840603,
        247.007931, 247.175259, 247.342586, 247.509914, 247.677241, 247.844569,
        248.011897, 248.179224, 248.346552, 248.513879, 248.681207, 248.848534,
@@ -1319,7 +1417,7 @@ <h1>Chaining Operations</h1>
        251.023793, 251.191121, 251.358448, 251.525776, 251.693103, 251.860431,
        252.027759, 252.195086, 252.362414, 252.529741, 252.697069, 252.864397,
        253.031724, 253.199052, 253.366379, 253.533707, 253.701034, 253.868362,
-       254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-6ad77aad-77cb-4b1d-bd33-1e3995b1d2d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ad77aad-77cb-4b1d-bd33-1e3995b1d2d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d14c1064-761a-48f9-8672-1a4f0a9d8efd' class='xr-var-data-in' type='checkbox'><label for='data-d14c1064-761a-48f9-8672-1a4f0a9d8efd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
+       254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-2a1bee82-96d5-46e0-a106-fc46cc2c1099' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a1bee82-96d5-46e0-a106-fc46cc2c1099' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c643c0f-def6-49c3-b06f-79c074541fb8' class='xr-var-data-in' type='checkbox'><label for='data-7c643c0f-def6-49c3-b06f-79c074541fb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
        20.999131, 21.165653, 21.332175, 21.498697, 21.665218, 21.83174 ,
        21.998262, 22.164784, 22.331306, 22.497827, 22.664349, 22.830871,
        22.997393, 23.163915, 23.330437, 23.496958, 23.66348 , 23.830002,
@@ -1329,70 +1427,70 @@ <h1>Chaining Operations</h1>
        26.993917, 27.160439, 27.326961, 27.493482, 27.660004, 27.826526,
        27.993048, 28.15957 , 28.326092, 28.492613, 28.659135, 28.825657,
        28.992179, 29.158701, 29.325223, 29.491744, 29.658266, 29.824788,
-       29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c46874d7-4a46-40d6-a4e6-4390d58613f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c46874d7-4a46-40d6-a4e6-4390d58613f7' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.621e+03 -3.709e+03 ... nan nan</div><input id='attrs-b92f1cef-61b5-49bc-9c85-b0b746415577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b92f1cef-61b5-49bc-9c85-b0b746415577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce8e09e-d0cf-4067-ac00-1c87a82c88fb' class='xr-var-data-in' type='checkbox'><label for='data-4ce8e09e-d0cf-4067-ac00-1c87a82c88fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
-              BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+       29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7790e58-2dae-4d98-a567-cd2a5961330d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7790e58-2dae-4d98-a567-cd2a5961330d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.621e+03 -3.709e+03 ... nan nan</div><input id='attrs-842f1edd-ee7f-4af1-bc18-fe168aa9fb54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842f1edd-ee7f-4af1-bc18-fe168aa9fb54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b770f352-a714-4df9-8530-6610f7a499a1' class='xr-var-data-in' type='checkbox'><label for='data-b770f352-a714-4df9-8530-6610f7a499a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
+              BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                           spacing=18500.0)),
-             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div><div class='xr-var-data'><pre>array([[-3620.55693731, -3708.83531359, -3770.71865245, ...,
-         -382.20217895,    76.30771022,            nan],
-       [-3685.62921214, -3781.66923324,            nan, ...,
-         -109.13716659,            nan,            nan],
-       [-3649.29234779, -3814.40699747,            nan, ...,
-         -584.59172994,            nan,            nan],
+             (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div><div class='xr-var-data'><pre>array([[-3620.55694306, -3708.83531265, -3770.71864716, ...,
+         -382.20217877,    76.30771062,            nan],
+       [-3685.62921532, -3781.66923502,            nan, ...,
+         -109.13716625,            nan,            nan],
+       [-3649.29234603, -3814.40699601,            nan, ...,
+         -584.59173022,            nan,            nan],
        ...,
        [           nan,            nan,            nan, ...,
                    nan,            nan,            nan],
        [           nan,            nan,            nan, ...,
                    nan,            nan,            nan],
        [           nan,            nan,            nan, ...,
-                   nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e786faee-5951-4664-b924-6d4c4f678e62' class='xr-section-summary-in' type='checkbox'  ><label for='section-e786faee-5951-4664-b924-6d4c4f678e62' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d4ea692-2dd5-4fa8-88d7-153975ea78d3' class='xr-index-data-in' type='checkbox'/><label for='index-9d4ea692-2dd5-4fa8-88d7-153975ea78d3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             245.0,  245.1673275862069,  245.3346551724138,
-               245.5019827586207, 245.66931034482758,  245.8366379310345,
-              246.00396551724137, 246.17129310344828,  246.3386206896552,
-              246.50594827586207, 246.67327586206898, 246.84060344827586,
-              247.00793103448277, 247.17525862068965, 247.34258620689656,
-              247.50991379310346, 247.67724137931035, 247.84456896551725,
-              248.01189655172413, 248.17922413793104, 248.34655172413792,
-              248.51387931034483, 248.68120689655174, 248.84853448275862,
-              249.01586206896553,  249.1831896551724, 249.35051724137932,
-               249.5178448275862,  249.6851724137931, 249.85250000000002,
-               250.0198275862069,  250.1871551724138,  250.3544827586207,
-               250.5218103448276, 250.68913793103448,  250.8564655172414,
-              251.02379310344827, 251.19112068965518,  251.3584482758621,
-              251.52577586206897, 251.69310344827588, 251.86043103448276,
-              252.02775862068967, 252.19508620689655, 252.36241379310346,
-              252.52974137931037, 252.69706896551725, 252.86439655172416,
-              253.03172413793104, 253.19905172413795, 253.36637931034483,
-              253.53370689655173, 253.70103448275864, 253.86836206896552,
-              254.03568965517243,  254.2030172413793, 254.37034482758622,
-               254.5376724137931,            254.705],
-             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ebbc795-071f-4e48-9ccf-c68312844cb4' class='xr-index-data-in' type='checkbox'/><label for='index-0ebbc795-071f-4e48-9ccf-c68312844cb4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              20.0, 20.166521833333334, 20.333043666666665,
-                      20.4995655, 20.666087333333333, 20.832609166666668,
-                       20.999131, 21.165652833333333, 21.332174666666667,
-                      21.4986965, 21.665218333333332, 21.831740166666666,
-                       21.998262,  22.16478383333333, 22.331305666666665,
-                      22.4978275, 22.664349333333334, 22.830871166666668,
-                       22.997393, 23.163914833333333, 23.330436666666667,
-              23.496958499999998, 23.663480333333332, 23.830002166666667,
-                       23.996524,  24.16304583333333, 24.329567666666666,
-                      24.4960895,  24.66261133333333, 24.829133166666665,
-                       24.995655, 25.162176833333334, 25.328698666666668,
-                      25.4952205, 25.661742333333333, 25.828264166666667,
-              25.994785999999998, 26.161307833333332, 26.327829666666666,
-                      26.4943515, 26.660873333333335, 26.827395166666665,
-                       26.993917,  27.16043883333333, 27.326960666666665,
-                      27.4934825, 27.660004333333333, 27.826526166666667,
-              27.993047999999998, 28.159569833333332, 28.326091666666663,
-              28.492613499999997,  28.65913533333333, 28.825657166666666,
-                       28.992179, 29.158700833333334, 29.325222666666665,
-                      29.4917445,  29.65826633333333, 29.824788166666664,
-                        29.99131],
-             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0a63950-88e5-41d8-94fd-3d64548ca140' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0a63950-88e5-41d8-94fd-3d64548ca140' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
-              BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+                   nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fc35a65-641f-48be-803c-55e48d8912ae' class='xr-section-summary-in' type='checkbox'  ><label for='section-0fc35a65-641f-48be-803c-55e48d8912ae' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a152d039-d955-4531-868e-bbecc109e9e8' class='xr-index-data-in' type='checkbox'/><label for='index-a152d039-d955-4531-868e-bbecc109e9e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             245.0,  245.1673275862069,  245.3346551724138,
+        245.5019827586207, 245.66931034482758,  245.8366379310345,
+       246.00396551724137, 246.17129310344828,  246.3386206896552,
+       246.50594827586207, 246.67327586206898, 246.84060344827586,
+       247.00793103448277, 247.17525862068965, 247.34258620689656,
+       247.50991379310346, 247.67724137931035, 247.84456896551725,
+       248.01189655172413, 248.17922413793104, 248.34655172413792,
+       248.51387931034483, 248.68120689655174, 248.84853448275862,
+       249.01586206896553,  249.1831896551724, 249.35051724137932,
+        249.5178448275862,  249.6851724137931, 249.85250000000002,
+        250.0198275862069,  250.1871551724138,  250.3544827586207,
+        250.5218103448276, 250.68913793103448,  250.8564655172414,
+       251.02379310344827, 251.19112068965518,  251.3584482758621,
+       251.52577586206897, 251.69310344827588, 251.86043103448276,
+       252.02775862068967, 252.19508620689655, 252.36241379310346,
+       252.52974137931037, 252.69706896551725, 252.86439655172416,
+       253.03172413793104, 253.19905172413795, 253.36637931034483,
+       253.53370689655173, 253.70103448275864, 253.86836206896552,
+       254.03568965517243,  254.2030172413793, 254.37034482758622,
+        254.5376724137931,            254.705],
+      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0244b1ea-d624-42a5-bcc3-a0ff6c35c560' class='xr-index-data-in' type='checkbox'/><label for='index-0244b1ea-d624-42a5-bcc3-a0ff6c35c560' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              20.0, 20.166521833333334, 20.333043666666665,
+               20.4995655, 20.666087333333333, 20.832609166666668,
+                20.999131, 21.165652833333333, 21.332174666666667,
+               21.4986965, 21.665218333333332, 21.831740166666666,
+                21.998262,  22.16478383333333, 22.331305666666665,
+               22.4978275, 22.664349333333334, 22.830871166666668,
+                22.997393, 23.163914833333333, 23.330436666666667,
+       23.496958499999998, 23.663480333333332, 23.830002166666667,
+                23.996524,  24.16304583333333, 24.329567666666666,
+               24.4960895,  24.66261133333333, 24.829133166666665,
+                24.995655, 25.162176833333334, 25.328698666666668,
+               25.4952205, 25.661742333333333, 25.828264166666667,
+       25.994785999999998, 26.161307833333332, 26.327829666666666,
+               26.4943515, 26.660873333333335, 26.827395166666665,
+                26.993917,  27.16043883333333, 27.326960666666665,
+               27.4934825, 27.660004333333333, 27.826526166666667,
+       27.993047999999998, 28.159569833333332, 28.326091666666663,
+       28.492613499999997,  28.65913533333333, 28.825657166666666,
+                28.992179, 29.158700833333334, 29.325222666666665,
+               29.4917445,  29.65826633333333, 29.824788166666664,
+                 29.99131],
+      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91d51d3c-13f7-4d8e-b979-1a48be570915' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91d51d3c-13f7-4d8e-b979-1a48be570915' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Chain(steps=[(&#x27;reduce&#x27;,
+              BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
                           spacing=18500.0)),
              (&#x27;trend&#x27;, Trend(degree=1)), (&#x27;spline&#x27;, Spline(mindist=0))])</dd></dl></div></li></ul></div></div>
 </div>
 <br />
 <br /><p>Finally, we can plot the resulting grid:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.html#pygmt.Figure" title="pygmt.Figure" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.html#pygmt.Figure" title="pygmt.Figure" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-class"><span class="n">pygmt</span><span class="o">.</span><span class="n">Figure</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.html#pygmt.Figure" title="pygmt.Figure" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.html#pygmt.Figure" title="pygmt.Figure" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-class"><span class="n">pygmt</span><span class="o">.</span><span class="n">Figure</span></a><span class="p">()</span>
 <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.coast.html#pygmt.Figure.coast" title="pygmt.Figure.coast" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">coast</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s2">&quot;M20c&quot;</span><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="s2">&quot;#666666&quot;</span><span class="p">)</span>
 <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.grdimage.html#pygmt.Figure.grdimage" title="pygmt.Figure.grdimage" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">grdimage</span></a><span class="p">(</span>
     <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">bathymetry</span></a><span class="p">,</span>
@@ -1404,18 +1502,13 @@ <h1>Chaining Operations</h1>
 <a href="https://www.pygmt.org/latest/api/generated/pygmt.Figure.show.html#pygmt.Figure.show" title="pygmt.Figure.show" class="sphx-glr-backref-module-pygmt sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_chain_003.png" srcset="../_images/sphx_glr_chain_003.png" alt="chain" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;IPython.core.display.Image object&gt;
-</pre></div>
-</div>
-<p>Each component of the chain can be accessed separately using the
+<img src="../_images/sphx_glr_chain_003.png" srcset="../_images/sphx_glr_chain_003.png" alt="chain" class = "sphx-glr-single-img"/><p>Each component of the chain can be accessed separately using the
 <code class="docutils literal notranslate"><span class="pre">named_steps</span></code> attribute. It’s a dictionary with keys and values matching
 the inputs given to the <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">Chain</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="o">.</span><span class="n">named_steps</span><span class="p">[</span><span class="s2">&quot;trend&quot;</span><span class="p">])</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="o">.</span><span class="n">named_steps</span><span class="p">[</span><span class="s2">&quot;trend&quot;</span><span class="p">])</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="o">.</span><span class="n">named_steps</span><span class="p">[</span><span class="s2">&quot;spline&quot;</span><span class="p">])</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Trend(degree=1)
 Spline(mindist=0)
 </pre></div>
@@ -1423,7 +1516,7 @@ <h1>Chaining Operations</h1>
 <p>All gridders and estimators in the chain have been fitted and can be used to
 generate grids and predictions. For example, we can get a grid of the
 estimated trend:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="o">.</span><span class="n">named_steps</span><span class="p">[</span><span class="s2">&quot;trend&quot;</span><span class="p">]</span><span class="o">.</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="o">.</span><span class="n">named_steps</span><span class="p">[</span><span class="s2">&quot;trend&quot;</span><span class="p">]</span><span class="o">.</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">,</span>
@@ -1811,7 +1904,7 @@ <h1>Chaining Operations</h1>
 Data variables:
     bathymetry  (latitude, longitude) float64 -4.911e+03 -4.864e+03 ... nan nan
 Attributes:
-    metadata:  Generated by Trend(degree=1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-63ca6338-14df-4c67-9571-d1c35c479bdb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63ca6338-14df-4c67-9571-d1c35c479bdb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-48ea915e-03a9-4131-a82b-bc80a73d1202' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48ea915e-03a9-4131-a82b-bc80a73d1202' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-22f7188f-8b63-4004-a064-9fe97c31576b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22f7188f-8b63-4004-a064-9fe97c31576b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13b764f8-8b2a-4102-ad2c-9f7f515f3e07' class='xr-var-data-in' type='checkbox'><label for='data-13b764f8-8b2a-4102-ad2c-9f7f515f3e07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
+    metadata:  Generated by Trend(degree=1)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-51971a62-764c-43d0-a3b3-6fde5654fa54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51971a62-764c-43d0-a3b3-6fde5654fa54' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fe993480-910f-46d7-925f-2cf23eaf5aa7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe993480-910f-46d7-925f-2cf23eaf5aa7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>245.0 245.2 245.3 ... 254.5 254.7</div><input id='attrs-6bdccba1-9206-410b-87b0-d50f18c017f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bdccba1-9206-410b-87b0-d50f18c017f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fd065cb-3d03-40f8-b610-73d58df9e129' class='xr-var-data-in' type='checkbox'><label for='data-2fd065cb-3d03-40f8-b610-73d58df9e129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245.      , 245.167328, 245.334655, 245.501983, 245.66931 , 245.836638,
        246.003966, 246.171293, 246.338621, 246.505948, 246.673276, 246.840603,
        247.007931, 247.175259, 247.342586, 247.509914, 247.677241, 247.844569,
        248.011897, 248.179224, 248.346552, 248.513879, 248.681207, 248.848534,
@@ -1820,7 +1913,7 @@ <h1>Chaining Operations</h1>
        251.023793, 251.191121, 251.358448, 251.525776, 251.693103, 251.860431,
        252.027759, 252.195086, 252.362414, 252.529741, 252.697069, 252.864397,
        253.031724, 253.199052, 253.366379, 253.533707, 253.701034, 253.868362,
-       254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-d7f32782-912e-4cd7-89f3-48b856a1ba0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7f32782-912e-4cd7-89f3-48b856a1ba0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a6028d8-faa9-46c0-957a-2b53d004dc0e' class='xr-var-data-in' type='checkbox'><label for='data-1a6028d8-faa9-46c0-957a-2b53d004dc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
+       254.03569 , 254.203017, 254.370345, 254.537672, 254.705   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.17 20.33 ... 29.82 29.99</div><input id='attrs-ae94c8fb-d935-4193-b25c-81fbc49867e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae94c8fb-d935-4193-b25c-81fbc49867e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da6595b8-0575-4d7d-a702-b09470968d9e' class='xr-var-data-in' type='checkbox'><label for='data-da6595b8-0575-4d7d-a702-b09470968d9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.      , 20.166522, 20.333044, 20.499565, 20.666087, 20.832609,
        20.999131, 21.165653, 21.332175, 21.498697, 21.665218, 21.83174 ,
        21.998262, 22.164784, 22.331306, 22.497827, 22.664349, 22.830871,
        22.997393, 23.163915, 23.330437, 23.496958, 23.66348 , 23.830002,
@@ -1830,7 +1923,7 @@ <h1>Chaining Operations</h1>
        26.993917, 27.160439, 27.326961, 27.493482, 27.660004, 27.826526,
        27.993048, 28.15957 , 28.326092, 28.492613, 28.659135, 28.825657,
        28.992179, 29.158701, 29.325223, 29.491744, 29.658266, 29.824788,
-       29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a666d3d-0df3-4137-9ecc-cf4c22f3f884' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a666d3d-0df3-4137-9ecc-cf4c22f3f884' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.911e+03 -4.864e+03 ... nan nan</div><input id='attrs-98f184bf-c55d-41ad-a456-e7b26c1771b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f184bf-c55d-41ad-a456-e7b26c1771b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272effd0-84c3-403f-ad23-4c7f594c9b50' class='xr-var-data-in' type='checkbox'><label for='data-272effd0-84c3-403f-ad23-4c7f594c9b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div><div class='xr-var-data'><pre>array([[-4910.61091961, -4864.15471186, -4817.6985041 , ...,
+       29.99131 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2759c0ff-daf0-439e-8862-f7947fc8bef2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2759c0ff-daf0-439e-8862-f7947fc8bef2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bathymetry</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.911e+03 -4.864e+03 ... nan nan</div><input id='attrs-f1142f74-45f6-44e2-99fa-bb273a9cb673' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1142f74-45f6-44e2-99fa-bb273a9cb673' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c92aaf4-86e4-4ce1-9472-c95732b2d280' class='xr-var-data-in' type='checkbox'><label for='data-9c92aaf4-86e4-4ce1-9472-c95732b2d280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div><div class='xr-var-data'><pre>array([[-4910.61091961, -4864.15471186, -4817.6985041 , ...,
         -2309.06328524, -2262.60707748,            nan],
        [-4838.72028329, -4792.26407553,            nan, ...,
         -2237.17264891,            nan,            nan],
@@ -1842,51 +1935,51 @@ <h1>Chaining Operations</h1>
        [           nan,            nan,            nan, ...,
                    nan,            nan,            nan],
        [           nan,            nan,            nan, ...,
-                   nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcf97cd9-ebaa-4296-97d8-770ba3a95dfd' class='xr-section-summary-in' type='checkbox'  ><label for='section-bcf97cd9-ebaa-4296-97d8-770ba3a95dfd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9ff79b29-b215-417f-a507-f8a608a41c69' class='xr-index-data-in' type='checkbox'/><label for='index-9ff79b29-b215-417f-a507-f8a608a41c69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             245.0,  245.1673275862069,  245.3346551724138,
-               245.5019827586207, 245.66931034482758,  245.8366379310345,
-              246.00396551724137, 246.17129310344828,  246.3386206896552,
-              246.50594827586207, 246.67327586206898, 246.84060344827586,
-              247.00793103448277, 247.17525862068965, 247.34258620689656,
-              247.50991379310346, 247.67724137931035, 247.84456896551725,
-              248.01189655172413, 248.17922413793104, 248.34655172413792,
-              248.51387931034483, 248.68120689655174, 248.84853448275862,
-              249.01586206896553,  249.1831896551724, 249.35051724137932,
-               249.5178448275862,  249.6851724137931, 249.85250000000002,
-               250.0198275862069,  250.1871551724138,  250.3544827586207,
-               250.5218103448276, 250.68913793103448,  250.8564655172414,
-              251.02379310344827, 251.19112068965518,  251.3584482758621,
-              251.52577586206897, 251.69310344827588, 251.86043103448276,
-              252.02775862068967, 252.19508620689655, 252.36241379310346,
-              252.52974137931037, 252.69706896551725, 252.86439655172416,
-              253.03172413793104, 253.19905172413795, 253.36637931034483,
-              253.53370689655173, 253.70103448275864, 253.86836206896552,
-              254.03568965517243,  254.2030172413793, 254.37034482758622,
-               254.5376724137931,            254.705],
-             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c8ebe73-b5af-4f67-9e54-9ca9d38a22be' class='xr-index-data-in' type='checkbox'/><label for='index-7c8ebe73-b5af-4f67-9e54-9ca9d38a22be' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              20.0, 20.166521833333334, 20.333043666666665,
-                      20.4995655, 20.666087333333333, 20.832609166666668,
-                       20.999131, 21.165652833333333, 21.332174666666667,
-                      21.4986965, 21.665218333333332, 21.831740166666666,
-                       21.998262,  22.16478383333333, 22.331305666666665,
-                      22.4978275, 22.664349333333334, 22.830871166666668,
-                       22.997393, 23.163914833333333, 23.330436666666667,
-              23.496958499999998, 23.663480333333332, 23.830002166666667,
-                       23.996524,  24.16304583333333, 24.329567666666666,
-                      24.4960895,  24.66261133333333, 24.829133166666665,
-                       24.995655, 25.162176833333334, 25.328698666666668,
-                      25.4952205, 25.661742333333333, 25.828264166666667,
-              25.994785999999998, 26.161307833333332, 26.327829666666666,
-                      26.4943515, 26.660873333333335, 26.827395166666665,
-                       26.993917,  27.16043883333333, 27.326960666666665,
-                      27.4934825, 27.660004333333333, 27.826526166666667,
-              27.993047999999998, 28.159569833333332, 28.326091666666663,
-              28.492613499999997,  28.65913533333333, 28.825657166666666,
-                       28.992179, 29.158700833333334, 29.325222666666665,
-                      29.4917445,  29.65826633333333, 29.824788166666664,
-                        29.99131],
-             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-211cdd18-c3a2-4b7c-8943-de612e5f6079' class='xr-section-summary-in' type='checkbox'  checked><label for='section-211cdd18-c3a2-4b7c-8943-de612e5f6079' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>metadata :</span></dt><dd>Generated by Trend(degree=1)</dd></dl></div></li></ul></div></div>
+                   nan,            nan,            nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82617eb5-5c55-4e50-8c61-cc218ade3799' class='xr-section-summary-in' type='checkbox'  ><label for='section-82617eb5-5c55-4e50-8c61-cc218ade3799' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-543c0c94-1c9a-4842-b31f-4142880bde48' class='xr-index-data-in' type='checkbox'/><label for='index-543c0c94-1c9a-4842-b31f-4142880bde48' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             245.0,  245.1673275862069,  245.3346551724138,
+        245.5019827586207, 245.66931034482758,  245.8366379310345,
+       246.00396551724137, 246.17129310344828,  246.3386206896552,
+       246.50594827586207, 246.67327586206898, 246.84060344827586,
+       247.00793103448277, 247.17525862068965, 247.34258620689656,
+       247.50991379310346, 247.67724137931035, 247.84456896551725,
+       248.01189655172413, 248.17922413793104, 248.34655172413792,
+       248.51387931034483, 248.68120689655174, 248.84853448275862,
+       249.01586206896553,  249.1831896551724, 249.35051724137932,
+        249.5178448275862,  249.6851724137931, 249.85250000000002,
+        250.0198275862069,  250.1871551724138,  250.3544827586207,
+        250.5218103448276, 250.68913793103448,  250.8564655172414,
+       251.02379310344827, 251.19112068965518,  251.3584482758621,
+       251.52577586206897, 251.69310344827588, 251.86043103448276,
+       252.02775862068967, 252.19508620689655, 252.36241379310346,
+       252.52974137931037, 252.69706896551725, 252.86439655172416,
+       253.03172413793104, 253.19905172413795, 253.36637931034483,
+       253.53370689655173, 253.70103448275864, 253.86836206896552,
+       254.03568965517243,  254.2030172413793, 254.37034482758622,
+        254.5376724137931,            254.705],
+      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4aac6ba3-32b9-4c58-ac3c-089f480b1682' class='xr-index-data-in' type='checkbox'/><label for='index-4aac6ba3-32b9-4c58-ac3c-089f480b1682' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              20.0, 20.166521833333334, 20.333043666666665,
+               20.4995655, 20.666087333333333, 20.832609166666668,
+                20.999131, 21.165652833333333, 21.332174666666667,
+               21.4986965, 21.665218333333332, 21.831740166666666,
+                21.998262,  22.16478383333333, 22.331305666666665,
+               22.4978275, 22.664349333333334, 22.830871166666668,
+                22.997393, 23.163914833333333, 23.330436666666667,
+       23.496958499999998, 23.663480333333332, 23.830002166666667,
+                23.996524,  24.16304583333333, 24.329567666666666,
+               24.4960895,  24.66261133333333, 24.829133166666665,
+                24.995655, 25.162176833333334, 25.328698666666668,
+               25.4952205, 25.661742333333333, 25.828264166666667,
+       25.994785999999998, 26.161307833333332, 26.327829666666666,
+               26.4943515, 26.660873333333335, 26.827395166666665,
+                26.993917,  27.16043883333333, 27.326960666666665,
+               27.4934825, 27.660004333333333, 27.826526166666667,
+       27.993047999999998, 28.159569833333332, 28.326091666666663,
+       28.492613499999997,  28.65913533333333, 28.825657166666666,
+                28.992179, 29.158700833333334, 29.325222666666665,
+               29.4917445,  29.65826633333333, 29.824788166666664,
+                 29.99131],
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diff --git a/dev/tutorials/decimation.html b/dev/tutorials/decimation.html
index df2e4518f..275f8bc21 100644
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+++ b/dev/tutorials/decimation.html
@@ -2,51 +2,61 @@
 
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-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
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+    <h1>Data Decimation</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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-    <div class="article row">
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-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Data Decimation</h1>
-                <!-- Table of contents -->
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+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-decimation-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-decimation-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="data-decimation">
-<span id="sphx-glr-tutorials-decimation-py"></span><h1>Data Decimation<a class="headerlink" href="#data-decimation" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-decimation-py"></span><h1>Data Decimation<a class="headerlink" href="#data-decimation" title="Link to this heading">#</a></h1>
 <p>Often times, raw spatial data can be highly oversampled in a direction. In
 these cases, we need to decimate the data before interpolation to avoid
 aliasing effects.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
@@ -815,17 +502,17 @@ <h1>Data Decimation</h1>
 </div>
 <p>For example, our sample shipborne bathymetry data has a higher sampling
 frequency along the tracks than between tracks:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load the data as a pandas.DataFrame</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load the data as a pandas.DataFrame</span>
 <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_baja_bathymetry.html#verde.datasets.fetch_baja_bathymetry" title="verde.datasets.fetch_baja_bathymetry" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_baja_bathymetry</span></a><span class="p">()</span>
 
 <span class="c1"># Plot it using matplotlib and Cartopy</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Locations of bathymetry measurements from Baja California&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the bathymetry data locations as black dots</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
@@ -834,7 +521,7 @@ <h1>Data Decimation</h1>
 blocks. All data inside each block will be replaced by their aggregated
 value. <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a> takes an aggregation function as input. It
 can be any function that receives a numpy array as input and returns a single
-scalar value. The <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.mean</span></code></a> or <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="(in NumPy v1.24)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.median</span></code></a> functions are
+scalar value. The <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.mean</span></code></a> or <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.median</span></code></a> functions are
 usually what we want.</p>
 <p>Blocked means and medians are good ways to decimate data for interpolation.
 Let’s use a blocked median on our data to decimate it to our desired grid
@@ -842,34 +529,43 @@ <h1>Data Decimation</h1>
 because bathymetry data can vary abruptly and a mean would smooth the data
 too much. For data varies more smoothly (like gravity and magnetic data), a
 mean would be a better option.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span><span class="n">reduction</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="numpy.median" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">median</span></a><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="mi">5</span> <span class="o">/</span> <span class="mi">60</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span><span class="n">reduction</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="numpy.median" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">median</span></a><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="mi">5</span> <span class="o">/</span> <span class="mi">60</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>BlockReduce(reduction=&lt;function median at 0x7fbfeab95280&gt;,
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>BlockReduce(reduction=&lt;function median at 0x7f7a634c5ef0&gt;,
             spacing=0.08333333333333333)
 </pre></div>
 </div>
 <p>Use the <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter" title="verde.BlockReduce.filter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">filter</span></code></a> method to apply the reduction:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bathymetry</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter" title="verde.BlockReduce.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">reducer</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bathymetry</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter" title="verde.BlockReduce.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">reducer</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="o">=</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a>
 <span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Locations of decimated data&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the bathymetry data locations as black dots</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_decimation_002.png" srcset="../_images/sphx_glr_decimation_002.png" alt="Locations of decimated data" class = "sphx-glr-single-img"/><p>By default, the coordinates of the decimated data are obtained by applying
+<img src="../_images/sphx_glr_decimation_002.png" srcset="../_images/sphx_glr_decimation_002.png" alt="Locations of decimated data" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+</pre></div>
+</div>
+<p>By default, the coordinates of the decimated data are obtained by applying
 the same reduction operation to the coordinates of the original data.
 Alternatively, we can tell <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a> to return the
 coordinates of the center of each block:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer_center</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer_center</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span>
     <span class="n">reduction</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="numpy.median" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">median</span></a><span class="p">,</span> <span class="n">spacing</span><span class="o">=</span><span class="mi">5</span> <span class="o">/</span> <span class="mi">60</span><span class="p">,</span> <span class="n">center_coordinates</span><span class="o">=</span><span class="kc">True</span>
 <span class="p">)</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates_center</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bathymetry</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter" title="verde.BlockReduce.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">reducer_center</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
@@ -877,71 +573,121 @@ <h1>Data Decimation</h1>
 <span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Locations of decimated data using block centers&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the bathymetry data locations as black dots</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates_center</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_decimation_003.png" srcset="../_images/sphx_glr_decimation_003.png" alt="Locations of decimated data using block centers" class = "sphx-glr-single-img"/><p>Now the data are ready for interpolation.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.958 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-decimation-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/f8b52955dc70997b98d37f11bebc07d5/decimation.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">decimation.py</span></code></a></p>
+<img src="../_images/sphx_glr_decimation_003.png" srcset="../_images/sphx_glr_decimation_003.png" alt="Locations of decimated data using block centers" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+</pre></div>
 </div>
+<p>Now the data are ready for interpolation.</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.409 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-decimation-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/16745cb398e8d7436b94804865fe1fac/decimation.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">decimation.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/f8b52955dc70997b98d37f11bebc07d5/decimation.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">decimation.py</span></code></a></p>
+</div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
 </section>
 
 
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+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../_static/custom.css?v=44687e0a" />
+  
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf">
-
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-    <script src="../_static/jquery.js"></script>
-    <script src="../_static/underscore.js"></script>
-    <script src="../_static/doctools.js"></script>
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-    <script src="../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../_static/copybutton.js?v=f281be69"></script>
+    <script src="../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/grid_coordinates';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="Trend Estimation" href="trends.html" />
@@ -55,831 +65,445 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="../index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
-      <img src="../_static/verde-logo.png" class="logo" alt="logo">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
-      
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
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- <li class="toc-h2 nav-item toc-entry">
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-   Adjusting region boundaries when creating the grid coordinates
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-   Adjusting region boundaries when creating the grid coordinates
-  </a>
- </li>
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-  <a class="reference internal nav-link" href="#adjusting-spacing-when-creating-the-grid">
-   Adjusting spacing when creating the grid
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-   Pixel Registration
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-   Extra Coordinates
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-grid-coordinates-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-grid-coordinates-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="grid-coordinates">
-<span id="sphx-glr-tutorials-grid-coordinates-py"></span><span id="id1"></span><h1>Grid Coordinates<a class="headerlink" href="#grid-coordinates" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-grid-coordinates-py"></span><span id="id1"></span><h1>Grid Coordinates<a class="headerlink" href="#grid-coordinates" title="Link to this heading">#</a></h1>
 <p>Creating the coordinates for regular grids in Verde is done using the
 <a class="reference internal" href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> function. It creates a set of regularly spaced
 points in both the west-east and south-north directions, i.e. a two-dimensional
@@ -888,14 +512,14 @@ <h2> Contents </h2>
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Spline.grid</span></code></a>) take as input the configuration parameters for
 <a class="reference internal" href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a>. The grid can be specified either by the number
 of points in each dimension (the shape) or by the grid node spacing.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
 </pre></div>
 </div>
 <p>First let’s create a region that is 1000 units west-east and 1000 units
 south-north, and we will set an initial spacing to 100 units.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">100</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">100</span>
 <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">west</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">east</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">south</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">north</span></a> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1000</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1000</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a> <span class="o">=</span> <span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">west</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">east</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">south</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">north</span></a><span class="p">)</span>
 
@@ -907,15 +531,14 @@ <h2> Contents </h2>
 and the spacing is 100 units, so the shape of the segments is 10x10. However,
 the number of grid nodes in this case is one more than the number of
 segments. So our grid coordinates have a shape of 11x11.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(11, 11) (11, 11)
 </pre></div>
 </div>
 <p>Let’s define two functions to visualize the region bounds and grid points</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_region</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">):</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_region</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">):</span>
     <span class="s2">&quot;Plot the region as a solid line.&quot;</span>
     <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">west</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">east</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">south</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">north</span></a> <span class="o">=</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.add_patch.html#matplotlib.axes.Axes.add_patch" title="matplotlib.axes.Axes.add_patch" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span></a><span class="p">(</span>
@@ -923,7 +546,7 @@ <h2> Contents </h2>
     <span class="p">)</span>
 
 
-<span class="k">def</span> <span class="nf">plot_grid</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s2">&quot;dotted&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">plot_grid</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s2">&quot;dotted&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
     <span class="s2">&quot;Plot the grid coordinates as dots and lines.&quot;</span>
     <span class="n">data_region</span> <span class="o">=</span> <a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">(</span><span class="n">coordinates</span><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.vlines.html#matplotlib.axes.Axes.vlines" title="matplotlib.axes.Axes.vlines" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">vlines</span></a><span class="p">(</span>
@@ -948,11 +571,11 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <p>Visualize our region and grid coordinates using our functions</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
-<span class="n">plot_region</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
+<span class="n">plot_region</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <span class="n">plot_grid</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a><span class="p">),</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Square Region Grid Nodes&quot;</span><span class="p">,</span>
@@ -968,7 +591,7 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_grid_coordinates_001.png" srcset="../_images/sphx_glr_grid_coordinates_001.png" alt="grid coordinates" class = "sphx-glr-single-img"/><section id="adjusting-region-boundaries-when-creating-the-grid-coordinates">
-<h2>Adjusting region boundaries when creating the grid coordinates<a class="headerlink" href="#adjusting-region-boundaries-when-creating-the-grid-coordinates" title="Permalink to this headline">#</a></h2>
+<h2>Adjusting region boundaries when creating the grid coordinates<a class="headerlink" href="#adjusting-region-boundaries-when-creating-the-grid-coordinates" title="Link to this heading">#</a></h2>
 <p>Now let’s change our spacing to 300 units. Because the range of the west-east
 and south-north boundaries are not multiples of 300, we must choose to change
 either:</p>
@@ -978,14 +601,13 @@ <h2>Adjusting region boundaries when creating the grid coordinates<a class="head
 </ul>
 <p>We could tell <a class="reference internal" href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> to adjust the region boundaries
 by passing <code class="docutils literal notranslate"><span class="pre">adjust=&quot;region&quot;</span></code>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">300</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">300</span>
 <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;region&quot;</span>
 <span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(4, 4) (4, 4)
 </pre></div>
 </div>
@@ -996,11 +618,10 @@ <h2>Adjusting region boundaries when creating the grid coordinates<a class="head
 northing have 3 segments (4 nodes) that are each 300 units long, meaning the
 easting and northing span from 0 to 900. Both dimensions are divisible by
 300.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_easting</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_easting</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_northing</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[  0. 300. 600. 900.]
  [  0. 300. 600. 900.]
  [  0. 300. 600. 900.]
@@ -1020,25 +641,23 @@ <h2>Adjusting region boundaries when creating the grid coordinates<a class="head
 if the adjust parameter is set to <code class="docutils literal notranslate"><span class="pre">region</span></code> or <code class="docutils literal notranslate"><span class="pre">spacing</span></code>.</p>
 </section>
 <section id="adjusting-spacing-when-creating-the-grid">
-<h2>Adjusting spacing when creating the grid<a class="headerlink" href="#adjusting-spacing-when-creating-the-grid" title="Permalink to this headline">#</a></h2>
+<h2>Adjusting spacing when creating the grid<a class="headerlink" href="#adjusting-spacing-when-creating-the-grid" title="Link to this heading">#</a></h2>
 <p>Now let’s adjust the spacing of the grid points by passing
 <code class="docutils literal notranslate"><span class="pre">adjust=&quot;spacing&quot;</span></code> to <a class="reference internal" href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span> <span class="n">adjust</span><span class="o">=</span><span class="s2">&quot;spacing&quot;</span>
 <span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(4, 4) (4, 4)
 </pre></div>
 </div>
 <p>However the regular spacing between the grid points is no longer 300 units.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_northing</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[   0.          333.33333333  666.66666667 1000.        ]
  [   0.          333.33333333  666.66666667 1000.        ]
  [   0.          333.33333333  666.66666667 1000.        ]
@@ -1051,16 +670,16 @@ <h2>Adjusting spacing when creating the grid<a class="headerlink" href="#adjusti
 </div>
 </section>
 <section id="visualize-the-different-adjustments">
-<h2>Visualize the different adjustments<a class="headerlink" href="#visualize-the-different-adjustments" title="Permalink to this headline">#</a></h2>
+<h2>Visualize the different adjustments<a class="headerlink" href="#visualize-the-different-adjustments" title="Link to this heading">#</a></h2>
 <p>Let’s visualize the difference between the original region bounds, the
 adjusted region grid nodes, and the adjusted spacing grid nodes. Note the
 adjusted spacing grid nodes keep the original region, while the adjusted
 region grid nodes on the north and east side of the region have moved.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
-<span class="n">plot_region</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
+<span class="n">plot_region</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <span class="n">plot_grid</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region_northing</span></a><span class="p">),</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Adjusted Region Grid Nodes&quot;</span><span class="p">,</span>
@@ -1070,7 +689,7 @@ <h2>Visualize the different adjustments<a class="headerlink" href="#visualize-th
     <span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
 <span class="p">)</span>
 <span class="n">plot_grid</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing_northing</span></a><span class="p">),</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Adjusted Spacing Grid Nodes&quot;</span><span class="p">,</span>
@@ -1087,7 +706,7 @@ <h2>Visualize the different adjustments<a class="headerlink" href="#visualize-th
 </div>
 <img src="../_images/sphx_glr_grid_coordinates_002.png" srcset="../_images/sphx_glr_grid_coordinates_002.png" alt="grid coordinates" class = "sphx-glr-single-img"/></section>
 <section id="pixel-registration">
-<h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Permalink to this headline">#</a></h2>
+<h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Link to this heading">#</a></h2>
 <p>Pixel registration locates the grid points in the middle of the grid segments
 rather than in the corner of each grid node.</p>
 <p>First, let’s take our 1000x1000 region and use the 100 unit spacing from the
@@ -1096,23 +715,21 @@ <h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Pe
 registration we expect the dimensions of the grid to be the dimensions of the
 non-registered grid minus one, or equal to the number of segments between the
 grid points in the non-registered grid (10x10).</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">100</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">100</span>
 <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span> <span class="n">pixel_register</span><span class="o">=</span><span class="kc">True</span>
 <span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(10, 10) (10, 10)
 </pre></div>
 </div>
 <p>And we can check the coordinates for the grid points with pixel registration.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_easting</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_easting</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_northing</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[ 50. 150. 250. 350. 450. 550. 650. 750. 850. 950.]
  [ 50. 150. 250. 350. 450. 550. 650. 750. 850. 950.]
  [ 50. 150. 250. 350. 450. 550. 650. 750. 850. 950.]
@@ -1138,22 +755,20 @@ <h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Pe
 <p>If we set <code class="docutils literal notranslate"><span class="pre">pixel_register</span></code> to <code class="docutils literal notranslate"><span class="pre">False</span></code> the function will return the grid
 coordinates of the nodes instead of pixel centers, resulting in an extra
 point in each direction.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span> <span class="n">pixel_register</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(11, 11) (11, 11)
 </pre></div>
 </div>
 <p>Again we can check the coordinates for grid points with spacing adjustment.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[   0.  100.  200.  300.  400.  500.  600.  700.  800.  900. 1000.]
  [   0.  100.  200.  300.  400.  500.  600.  700.  800.  900. 1000.]
  [   0.  100.  200.  300.  400.  500.  600.  700.  800.  900. 1000.]
@@ -1180,11 +795,11 @@ <h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Pe
 </div>
 <p>Lastly, we can visualize the pixel-registered grid points to see where they
 fall within the original region bounds.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
-<span class="n">plot_region</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
+<span class="n">plot_region</span><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 <span class="n">plot_grid</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pixel_northing</span></a><span class="p">),</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Pixel Registered Grid Nodes&quot;</span><span class="p">,</span>
@@ -1194,7 +809,7 @@ <h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Pe
     <span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
 <span class="p">)</span>
 <span class="n">plot_grid</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a><span class="p">),</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Regular Registered Grid Nodes&quot;</span><span class="p">,</span>
@@ -1212,29 +827,27 @@ <h2>Pixel Registration<a class="headerlink" href="#pixel-registration" title="Pe
 </div>
 <img src="../_images/sphx_glr_grid_coordinates_003.png" srcset="../_images/sphx_glr_grid_coordinates_003.png" alt="grid coordinates" class = "sphx-glr-single-img"/></section>
 <section id="extra-coordinates">
-<h2>Extra Coordinates<a class="headerlink" href="#extra-coordinates" title="Permalink to this headline">#</a></h2>
+<h2>Extra Coordinates<a class="headerlink" href="#extra-coordinates" title="Link to this heading">#</a></h2>
 <p>In some cases, you might need an additional coordinate such as a height or a
 time that is associated with your coordinate grid. The <code class="docutils literal notranslate"><span class="pre">extra_coords</span></code>
 parameter in <a class="reference internal" href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.grid_coordinates</span></code></a> creates an extra coordinate array
 that is the same shape as the coordinate grid, but contains a constant value.
 For example, let’s add a constant height of 1000 units and time of 1 to our
 coordinate grid.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">height</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">time</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">height</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">time</span></a> <span class="o">=</span> <a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span> <span class="n">extra_coords</span><span class="o">=</span><span class="p">[</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
 <span class="p">)</span>
 
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">easting</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">northing</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">height</span><span class="o">.</span><span class="n">shape</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">time</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(11, 11) (11, 11) (11, 11) (11, 11)
 </pre></div>
 </div>
 <p>And we can print the height array to verify that it is correct</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">height</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">height</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
  [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
  [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
@@ -1249,10 +862,9 @@ <h2>Extra Coordinates<a class="headerlink" href="#extra-coordinates" title="Perm
 </pre></div>
 </div>
 <p>And we can print the time array as well</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">time</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">time</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
  [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
  [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
@@ -1266,63 +878,120 @@ <h2>Extra Coordinates<a class="headerlink" href="#extra-coordinates" title="Perm
  [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.259 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-grid-coordinates-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/10c906fdfef20a81f9db581a0c5381e3/grid_coordinates.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">grid_coordinates.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.197 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-grid-coordinates-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/729198118290f569a4c651262b90775f/grid_coordinates.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">grid_coordinates.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/10c906fdfef20a81f9db581a0c5381e3/grid_coordinates.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">grid_coordinates.py</span></code></a></p>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#adjusting-region-boundaries-when-creating-the-grid-coordinates">Adjusting region boundaries when creating the grid coordinates</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#adjusting-spacing-when-creating-the-grid">Adjusting spacing when creating the grid</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#visualize-the-different-adjustments">Visualize the different adjustments</a></li>
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-     Using weights in blocked reduction
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-     Gridding with a cubic interpolator
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-     Mask grid points by distance
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-     Gridding with a nearest-neighbors interpolator
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-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
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-     Projection of gridded data
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-     Gridding with splines
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-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
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-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
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-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
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-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
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-     Trends in vector data
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-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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-   </li>
-  </ul>
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+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
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-   Grid Coordinates
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-   Trend Estimation
-  </a>
- </li>
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-   Data Decimation
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-   Geographic Coordinates
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-   Chaining Operations
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-   Evaluating Performance
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-   Model Selection
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-   Using Weights
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-   Vector Data
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- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
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-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-     verde.Cubic
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-     verde.Trend
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-     verde.Vector
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-     verde.convexhull_mask
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
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-     verde.variance_to_weights
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-     verde.grid_to_table
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-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-     verde.median_distance
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-     verde.load_surfer
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-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
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-     verde.base.BaseGridder
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-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
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-     verde.datasets.fetch_rio_magnetic
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+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
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-<span id="sphx-glr-tutorials"></span><span id="id1"></span><h1>Tutorials<a class="headerlink" href="#tutorials" title="Permalink to this headline">#</a></h1>
-<div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><figure class="align-default" id="id2">
-<img alt="Chaining Operations" src="../_images/sphx_glr_chain_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><figure class="align-default" id="id3">
-<img alt="Data Decimation" src="../_images/sphx_glr_decimation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
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-<div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><figure class="align-default" id="id4">
-<img alt="Grid Coordinates" src="../_images/sphx_glr_grid_coordinates_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><figure class="align-default" id="id5">
-<img alt="Evaluating Performance" src="../_images/sphx_glr_model_evaluation_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><figure class="align-default" id="id6">
-<img alt="Model Selection" src="../_images/sphx_glr_model_selection_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><figure class="align-default" id="id7">
-<img alt="Overview" src="../_images/sphx_glr_overview_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><figure class="align-default" id="id8">
-<img alt="Geographic Coordinates" src="../_images/sphx_glr_projections_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">#</a></p>
-</figcaption>
-</figure>
-</div><div class="toctree-wrapper compound">
+<span id="id1"></span><h1>Tutorials<a class="headerlink" href="#tutorials" title="Link to this heading">#</a></h1>
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Often, a data processing pipeline looks like the following:"><img alt="" src="../_images/sphx_glr_chain_thumb.png" />
+<p><a class="reference internal" href="chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Chaining Operations</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Often times, raw spatial data can be highly oversampled in a direction. In these cases, we need..."><img alt="" src="../_images/sphx_glr_decimation_thumb.png" />
+<p><a class="reference internal" href="decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Data Decimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Creating the coordinates for regular grids in Verde is done using the verde.grid_coordinates fu..."><img alt="" src="../_images/sphx_glr_grid_coordinates_thumb.png" />
+<p><a class="reference internal" href="grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Grid Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="The Green&#x27;s functions based interpolations in Verde are all linear regressions under the hood. ..."><img alt="" src="../_images/sphx_glr_model_evaluation_thumb.png" />
+<p><a class="reference internal" href="model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Evaluating Performance</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="In model_evaluation, we saw how to check the performance of an interpolator using cross-validat..."><img alt="" src="../_images/sphx_glr_model_selection_thumb.png" />
+<p><a class="reference internal" href="model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Model Selection</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Verde provides classes and functions for processing spatial data, like bathymetry, GPS, tempera..."><img alt="" src="../_images/sphx_glr_overview_thumb.png" />
+<p><a class="reference internal" href="overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Overview</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Most gridders and processing methods in Verde operate under the assumption that the data coordi..."><img alt="" src="../_images/sphx_glr_projections_thumb.png" />
+<p><a class="reference internal" href="projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Geographic Coordinates</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><img alt="" src="../_images/sphx_glr_trends_thumb.png" />
+<p><a class="reference internal" href="trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Trend Estimation</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><img alt="" src="../_images/sphx_glr_vectors_thumb.png" />
+<p><a class="reference internal" href="vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Vector Data</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><img alt="" src="../_images/sphx_glr_weights_thumb.png" />
+<p><a class="reference internal" href="weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Using Weights</div>
+</div></div><div class="toctree-wrapper compound">
 </div>
-<div class="sphx-glr-thumbcontainer" tooltip="Trend estimation and removal is a common operation, particularly when dealing with geophysical ..."><figure class="align-default" id="id9">
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-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a></span><a class="headerlink" href="#id9" title="Permalink to this image">#</a></p>
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-</div><div class="toctree-wrapper compound">
-</div>
-<div class="sphx-glr-thumbcontainer" tooltip="Some datasets have multiple vector components measured for each location, like the East and Wes..."><figure class="align-default" id="id10">
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-<p><span class="caption-text"><a class="reference internal" href="vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a></span><a class="headerlink" href="#id10" title="Permalink to this image">#</a></p>
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-<div class="sphx-glr-thumbcontainer" tooltip="One of the advantages of using a Green&#x27;s functions approach to interpolation is that we can eas..."><figure class="align-default" id="id11">
-<img alt="Using Weights" src="../_images/sphx_glr_weights_thumb.png" />
-<figcaption>
-<p><span class="caption-text"><a class="reference internal" href="weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a></span><a class="headerlink" href="#id11" title="Permalink to this image">#</a></p>
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+    <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../_static/copybutton.js?v=f281be69"></script>
+    <script src="../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/model_evaluation';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="Model Selection" href="model_selection.html" />
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-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
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-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
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+          class="sidebar-toggle"
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+          id="__secondary"/>
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+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
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+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+  
 
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-        
-      
-      
-      <img src="../_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
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-</div><form class="bd-search d-flex align-items-center" action="../search.html" method="get">
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-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
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+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
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-   Overview
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-   Installing
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- </li>
- <li class="toctree-l1 has-children">
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-   Gallery
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-   <li class="toctree-l2">
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-     K-Fold cross-validation with blocks
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-   </li>
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-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
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-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
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-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
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-     Mask grid points by convex hull
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-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
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-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
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-    <a class="reference internal" href="../gallery/spline_weights.html">
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-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
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-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
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- <li class="toctree-l1">
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-   Chaining Operations
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-   Model Selection
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-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-     verde.SplineCV
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-     verde.KNeighbors
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-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-     verde.Cubic
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-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
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-     verde.BlockReduce
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-     verde.Trend
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-     verde.Chain
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-     verde.BlockKFold
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-     verde.line_coordinates
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-     verde.grid_coordinates
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-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
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-     verde.profile_coordinates
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-     verde.get_region
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-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
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-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
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-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
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-     verde.expanding_window
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-     verde.project_region
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-     verde.project_grid
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-     verde.distance_mask
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-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
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-     verde.maxabs
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-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-     verde.make_xarray_grid
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-     verde.median_distance
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-     verde.load_surfer
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-     verde.synthetic.CheckerBoard
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-     verde.base.BaseGridder
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-     verde.base.BaseBlockCrossValidator
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-    <nav id="bd-toc-nav" aria-label="Page">
-        <ul class="visible nav section-nav flex-column">
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#splitting-the-data">
-   Splitting the data
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#scoring">
-   Scoring
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#cross-validation">
-   Cross-validation
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#parallel-cross-validation">
-   Parallel cross-validation
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#improving-the-score">
-   Improving the score
-  </a>
- </li>
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Evaluating Performance</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#splitting-the-data">Splitting the data</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#scoring">Scoring</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#cross-validation">Cross-validation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#parallel-cross-validation">Parallel cross-validation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#improving-the-score">Improving the score</a></li>
 </ul>
-
-    </nav>
-</div>
+            </nav>
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Evaluating Performance</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                        <div>
-                            <h2> Contents </h2>
-                        </div>
-                        <nav aria-label="Page">
-                            <ul class="visible nav section-nav flex-column">
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#splitting-the-data">
-   Splitting the data
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#scoring">
-   Scoring
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#cross-validation">
-   Cross-validation
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#parallel-cross-validation">
-   Parallel cross-validation
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#improving-the-score">
-   Improving the score
-  </a>
- </li>
-</ul>
+</div>
 
-                        </nav>
-                    </div>
-                </div>
-            </div>
-            <main id="main-content" role="main">
-                
-              <div>
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-model-evaluation-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-model-evaluation-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="evaluating-performance">
-<span id="model-evaluation"></span><span id="sphx-glr-tutorials-model-evaluation-py"></span><h1>Evaluating Performance<a class="headerlink" href="#evaluating-performance" title="Permalink to this headline">#</a></h1>
+<span id="model-evaluation"></span><span id="sphx-glr-tutorials-model-evaluation-py"></span><h1>Evaluating Performance<a class="headerlink" href="#evaluating-performance" title="Link to this heading">#</a></h1>
 <p>The Green’s functions based interpolations in Verde are all linear regressions
 under the hood. This means that we can use some of the same tactics from
-<a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.2)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> to evaluate our interpolator’s performance. Once
+<a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.4)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> to evaluate our interpolator’s performance. Once
 we have a quantified measure of the quality of a given fitted gridder, we can
 use it to tune the gridder’s parameters, like <code class="docutils literal notranslate"><span class="pre">damping</span></code> for a
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a> (see <a class="reference internal" href="model_selection.html#model-selection"><span class="std std-ref">Model Selection</span></a>).</p>
 <p>Verde provides adaptations of common scikit-learn tools to work better with
 spatial data. Let’s use these tools to evaluate the performance of a
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a> on our sample air temperature data.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">dask</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
@@ -910,10 +534,10 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <section id="splitting-the-data">
-<h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Permalink to this headline">#</a></h2>
+<h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Link to this heading">#</a></h2>
 <p>We can’t evaluate a gridder on the data that went into fitting it. The true
 test of a model is if it can correctly predict data that it hasn’t seen
-before. scikit-learn has the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a>
+before. scikit-learn has the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split" title="(in scikit-learn v1.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.model_selection.train_test_split</span></code></a>
 function to separate a dataset into two parts: one for fitting the model
 (called <em>training</em> data) and a separate one for evaluating the model (called
 <em>testing</em> data). Using it with spatial data would involve some tedious array
@@ -923,18 +547,21 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 generator to guarantee that we’ll get the same result every time we run this
 example. You probably don’t want to do that for real data. We’ll keep 30% of
 the data to use for testing (<code class="docutils literal notranslate"><span class="pre">test_size=0.3</span></code>).</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a> <span class="o">=</span> <a href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">train_test_split</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a> <span class="o">=</span> <a href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">train_test_split</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span>
 <span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+</pre></div>
+</div>
 <p>The returned <code class="docutils literal notranslate"><span class="pre">train</span></code> and <code class="docutils literal notranslate"><span class="pre">test</span></code> variables are tuples containing
 coordinates, data, and (optionally) weights arrays. Since we’re not using
 weights, the third element of the tuple will be <code class="docutils literal notranslate"><span class="pre">None</span></code>:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>((array([ -9471409.04145469,  -9242651.69892226,  -9518618.69368063,
         -9226352.10603726,  -9196090.97662381,  -9211980.21676048,
         -9111443.79343314,  -9285738.73749109,  -9261270.26198931,
@@ -1049,10 +676,9 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
         3.14875   , 16.80952381, 12.45724138, 15.76208333, 11.69902778]),), (None,))
 </pre></div>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>((array([ -9355174.23973406,  -9305731.50511056,  -9378946.06987249,
         -9894654.50049513,  -9357159.20186525,  -9310436.24708494,
         -9176098.20900436,  -9848465.95859632,  -9657890.50782771,
@@ -1104,8 +730,8 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 </pre></div>
 </div>
 <p>Let’s plot these two datasets with different colors:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Air temperature measurements for Texas&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="s2">&quot;.r&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;train&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="s2">&quot;.b&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;test&quot;</span><span class="p">)</span>
@@ -1117,17 +743,421 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 <img src="../_images/sphx_glr_model_evaluation_001.png" srcset="../_images/sphx_glr_model_evaluation_001.png" alt="Air temperature measurements for Texas" class = "sphx-glr-single-img"/><p>We can pass the training dataset to the <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.fit" title="verde.base.BaseGridder.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>
 method of most gridders using Python’s argument expansion using the <code class="docutils literal notranslate"><span class="pre">*</span></code>
 symbol.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
 <a href="../api/generated/verde.Spline.html#verde.Spline.fit" title="verde.Spline.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">)</span>
 </pre></div>
 </div>
 <div class="output_subarea output_html rendered_html output_result">
-<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Spline(mindist=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">Spline</label><div class="sk-toggleable__content"><pre>Spline(mindist=0)</pre></div></div></div></div></div>
+<style>#sk-container-id-2 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-2 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-2 pre {
+  padding: 0;
+}
+
+#sk-container-id-2 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-2 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-2 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-2 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-2 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-2 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-2 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-2 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-2 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-2 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-2 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-2 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-2 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-2 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-2 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-2 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Spline(mindist=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Spline<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Spline(mindist=0)</pre></div> </div></div></div></div>
 </div>
 <br />
 <br /><p>Let’s plot the gridded result to see what it looks like. First, we’ll create
 a geographic grid:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">,</span>
@@ -1137,7 +1167,6 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
 Dimensions:      (latitude: 43, longitude: 51)
 Coordinates:
@@ -1151,7 +1180,7 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 </div>
 <p>Then, we’ll mask out grid points that are too far from any given data point
 and plot the grid:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mask</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mask</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
     <span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span>
     <span class="n">maxdist</span><span class="o">=</span><span class="mi">3</span> <span class="o">*</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">),</span>
@@ -1160,10 +1189,10 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.where.html#xarray.Dataset.where" title="xarray.Dataset.where" class="sphx-glr-backref-module-xarray sphx-glr-backref-type-py-method"><span class="n">grid</span><span class="o">.</span><span class="n">where</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mask</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Gridded temperature&quot;</span><span class="p">)</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span>
     <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span>
     <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
@@ -1171,25 +1200,24 @@ <h2>Splitting the data<a class="headerlink" href="#splitting-the-data" title="Pe
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;C&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_model_evaluation_002.png" srcset="../_images/sphx_glr_model_evaluation_002.png" alt="Gridded temperature" class = "sphx-glr-single-img"/></section>
 <section id="scoring">
-<h2>Scoring<a class="headerlink" href="#scoring" title="Permalink to this headline">#</a></h2>
+<h2>Scoring<a class="headerlink" href="#scoring" title="Link to this heading">#</a></h2>
 <p>Gridders in Verde implement the <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.score" title="verde.base.BaseGridder.score"><code class="xref py py-meth docutils literal notranslate"><span class="pre">score</span></code></a> method
 that calculates the <a class="reference external" href="https://en.wikipedia.org/wiki/Coefficient_of_determination">R² coefficient of determination</a> for a given
 comparison dataset (<code class="docutils literal notranslate"><span class="pre">test</span></code> in our case). The R² score is at most 1, meaning
 a perfect prediction, but has no lower bound.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.score" title="verde.Spline.score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">score</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.score" title="verde.Spline.score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">score</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;R² score:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/model_evaluation.py:144: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = spline.score(*test)
-R² score: 0.8404552995867839
+R² score: 0.8404552995821278
 </pre></div>
 </div>
 <p>That’s a good score meaning that our gridder is able to accurately predict
@@ -1200,7 +1228,7 @@ <h2>Scoring<a class="headerlink" href="#scoring" title="Permalink to this headli
 particular split that we made. Changing the random number generator seed
 in <a class="reference internal" href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.train_test_split</span></code></a> will result in a different score.</p>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Use 1 as a seed instead of 0</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Use 1 as a seed instead of 0</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train_other</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test_other</span></a> <span class="o">=</span> <a href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">train_test_split</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span>
 <span class="p">)</span>
@@ -1208,55 +1236,65 @@ <h2>Scoring<a class="headerlink" href="#scoring" title="Permalink to this headli
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;R² score with seed 1:&quot;</span><span class="p">,</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train_other</span></a><span class="p">)</span><span class="o">.</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test_other</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/model_evaluation.py:162: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/home/runner/work/verde/verde/doc/tutorials_src/model_evaluation.py:162: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   print(&quot;R² score with seed 1:&quot;, vd.Spline().fit(*train_other).score(*test_other))
-R² score with seed 1: 0.7832246935323472
+R² score with seed 1: 0.7832246935388774
 </pre></div>
 </div>
 </section>
 <section id="cross-validation">
-<h2>Cross-validation<a class="headerlink" href="#cross-validation" title="Permalink to this headline">#</a></h2>
+<h2>Cross-validation<a class="headerlink" href="#cross-validation" title="Link to this heading">#</a></h2>
 <p>A more robust way of scoring the gridders is to use function
 <a class="reference internal" href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a>, which (by default) uses a <a class="reference external" href="https://en.wikipedia.org/wiki/Cross-validation_(statistics)#k-fold_cross-validation">k-fold
 cross-validation</a>
 by default. It will split the data <em>k</em> times and return the score on each
 <em>fold</em>. We can then take a mean of these scores.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">(),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">(),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;k-fold scores:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Mean score:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
 k-fold scores: [0.81655898 0.72019255 0.81596348 0.87740087 0.75006854]
-Mean score: 0.7960368857080609
+Mean score: 0.7960368857090916
 </pre></div>
 </div>
 <p>You can also use most cross-validation splitter classes from
-<a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.2)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> by specifying the <code class="docutils literal notranslate"><span class="pre">cv</span></code> argument. For
+<a class="reference external" href="https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection" title="(in scikit-learn v1.4)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> by specifying the <code class="docutils literal notranslate"><span class="pre">cv</span></code> argument. For
 example, if we want to shuffle then split the data <em>n</em> times
-(<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>):</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit" class="sphx-glr-backref-module-sklearn-model_selection sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">shuffle</span></a> <span class="o">=</span> <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit" class="sphx-glr-backref-module-sklearn-model_selection sphx-glr-backref-type-py-class"><span class="n">ShuffleSplit</span></a><span class="p">(</span><span class="n">n_splits</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+(<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection.ShuffleSplit</span></code></a>):</p>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit" class="sphx-glr-backref-module-sklearn-model_selection sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">shuffle</span></a> <span class="o">=</span> <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit" class="sphx-glr-backref-module-sklearn-model_selection sphx-glr-backref-type-py-class"><span class="n">ShuffleSplit</span></a><span class="p">(</span><span class="n">n_splits</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
 
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span>
     <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">(),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit" class="sphx-glr-backref-module-sklearn-model_selection sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">shuffle</span></a>
@@ -1265,101 +1303,119 @@ <h2>Cross-validation<a class="headerlink" href="#cross-validation" title="Permal
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Mean score:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
 shuffle scores: [0.8404553  0.79219264 0.60098099 0.73123421 0.67325199 0.70560489
  0.68905623 0.83517217 0.86908658 0.84133251]
-Mean score: 0.757836752127407
+Mean score: 0.757836752124305
 </pre></div>
 </div>
 </section>
 <section id="parallel-cross-validation">
-<h2>Parallel cross-validation<a class="headerlink" href="#parallel-cross-validation" title="Permalink to this headline">#</a></h2>
+<h2>Parallel cross-validation<a class="headerlink" href="#parallel-cross-validation" title="Link to this heading">#</a></h2>
 <p>Cross-validation involves running several model fit and score operations
 which are independent of each other. Because of this, they are prime targets
 for parallelization. Verde uses the excellent <a class="reference external" href="https://dask.org/">Dask</a>
 library for parallel execution.</p>
 <p>To run <a class="reference internal" href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a> with Dask, use the <code class="docutils literal notranslate"><span class="pre">delayed</span></code> argument:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span>
     <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">(),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">,</span> <span class="n">delayed</span><span class="o">=</span><span class="kc">True</span>
 <span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Delayed k-fold scores:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-Delayed k-fold scores: [Delayed(&#39;fit_score-b33fc47e-be97-40ea-8e51-d93f4462322d&#39;), Delayed(&#39;fit_score-ca2f4d9e-7900-4495-bccb-837d7130f3eb&#39;), Delayed(&#39;fit_score-ca7c7da2-cab9-42bc-863f-868e51315cee&#39;), Delayed(&#39;fit_score-62f80c55-33d2-4d3d-89f3-cd8c6cbdb406&#39;), Delayed(&#39;fit_score-ae504695-15cf-414d-91a3-fd1af67f1d8e&#39;)]
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+Delayed k-fold scores: [Delayed(&#39;fit_score-f7b0ab4c-0b5a-48cb-b92a-29e78d4a6aa4&#39;), Delayed(&#39;fit_score-3ec2e722-2cd9-4291-8c5f-ada8fbca686c&#39;), Delayed(&#39;fit_score-1a5fc98d-2d69-437f-810f-d4f0b766f819&#39;), Delayed(&#39;fit_score-650e8f3f-b558-49b4-a549-ba2e50af55bf&#39;), Delayed(&#39;fit_score-86652d9e-8bd0-48b2-a30a-ec4b9a35cdde&#39;)]
 </pre></div>
 </div>
 <p>In this case, the scores haven’t actually been computed yet (hence the
 “delayed” term). Instead, Verde scheduled the operations with Dask. Since we
 are interested only in the mean score, we can schedule the mean as well using
 <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code>:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">)(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">)(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Delayed mean:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Delayed mean: Delayed(&#39;mean-d85af544-5c15-4dfe-b67e-ab0ad37f28f8&#39;)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Delayed mean: Delayed(&#39;mean-e3e13863-3c07-4c08-9a33-89a1e35a534a&#39;)
 </pre></div>
 </div>
 <p>To run the scheduled computations and get the mean score, use
 <a class="reference external" href="https://docs.dask.org/en/latest/api.html#dask.compute" title="(in Dask)"><code class="xref py py-func docutils literal notranslate"><span class="pre">dask.compute</span></code></a> or <code class="docutils literal notranslate"><span class="pre">.compute()</span></code>. Dask will automatically execute
 things in parallel.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span><span class="o">.</span><span class="n">compute</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span><span class="o">.</span><span class="n">compute</span></a><span class="p">()</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Mean score:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">mean_score</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-Mean score: 0.7960368857080609
+Mean score: 0.7960368857090916
 </pre></div>
 </div>
 <div class="admonition note">
@@ -1369,69 +1425,126 @@ <h2>Parallel cross-validation<a class="headerlink" href="#parallel-cross-validat
 </div>
 </section>
 <section id="improving-the-score">
-<h2>Improving the score<a class="headerlink" href="#improving-the-score" title="Permalink to this headline">#</a></h2>
+<h2>Improving the score<a class="headerlink" href="#improving-the-score" title="Link to this heading">#</a></h2>
 <p>That score is not bad but it could be better. The default arguments for
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a> aren’t optimal for this dataset. We could try
 different combinations manually until we get a good score. A better way is to
 do this automatically. In <a class="reference internal" href="model_selection.html#model-selection"><span class="std std-ref">Model Selection</span></a> we’ll go over how to do just
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#cross-validation">Cross-validation</a></li>
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diff --git a/dev/tutorials/model_selection.html b/dev/tutorials/model_selection.html
index cb4f6cca6..a2bb3d382 100644
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-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-model-selection-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-model-selection-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="model-selection">
-<span id="sphx-glr-tutorials-model-selection-py"></span><span id="id1"></span><h1>Model Selection<a class="headerlink" href="#model-selection" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-model-selection-py"></span><span id="id1"></span><h1>Model Selection<a class="headerlink" href="#model-selection" title="Link to this heading">#</a></h1>
 <p>In <a class="reference internal" href="model_evaluation.html#model-evaluation"><span class="std std-ref">Evaluating Performance</span></a>, we saw how to check the performance of an
 interpolator using cross-validation. We found that the default parameters for
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> are not good for predicting our sample air temperature
@@ -867,7 +509,7 @@ <h2> Contents </h2>
 cross-validation performance.</p>
 <p>Once again, we’ll start by importing the required packages and loading our
 sample data.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -887,7 +529,7 @@ <h2> Contents </h2>
 </div>
 <p>Before we begin tuning, let’s reiterate what the results were with the
 default parameters.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline_default</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline_default</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
 <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score_default</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">(</span>
     <a href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">cross_val_score</span></a><span class="p">(</span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline_default</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 <span class="p">)</span>
@@ -895,32 +537,43 @@ <h2> Contents </h2>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;R² with defaults:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score_default</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-R² with defaults: 0.7960368857080609
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+R² with defaults: 0.7960368857090916
 </pre></div>
 </div>
 <section id="tuning">
-<h2>Tuning<a class="headerlink" href="#tuning" title="Permalink to this headline">#</a></h2>
+<h2>Tuning<a class="headerlink" href="#tuning" title="Link to this heading">#</a></h2>
 <p><a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a> has the <code class="docutils literal notranslate"><span class="pre">damping</span></code> regularization parameter which
 smooths the solution and provides a least-squares fit to the data instead of
 an exact fit at the observation points. This is often desirable to mitigate
@@ -929,12 +582,12 @@ <h2>Tuning<a class="headerlink" href="#tuning" title="Permalink to this headline
 <p>We can answer this question by changing the values in our <code class="docutils literal notranslate"><span class="pre">spline</span></code> and
 re-evaluating the model score repeatedly for different values of this
 parameter. Let’s test the following values:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a> <span class="o">=</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mf">1e-4</span><span class="p">,</span> <span class="mf">1e-3</span><span class="p">,</span> <span class="mf">1e-2</span><span class="p">]</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a> <span class="o">=</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mf">1e-4</span><span class="p">,</span> <span class="mf">1e-3</span><span class="p">,</span> <span class="mf">1e-2</span><span class="p">]</span>
 </pre></div>
 </div>
 <p>Now we can loop over each value and collect the scores for each parameter
 choice.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a> <span class="o">=</span> <span class="p">[]</span>
 <span class="k">for</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">damping</span></a> <span class="ow">in</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">:</span>
     <a href="../api/generated/verde.SplineCV.html#verde.SplineCV.set_params" title="verde.SplineCV.set_params" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">set_params</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">damping</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">damping</span></a><span class="p">)</span>
@@ -943,100 +596,138 @@ <h2>Tuning<a class="headerlink" href="#tuning" title="Permalink to this headline
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-[0.7960368857080609, 0.8447749626590715, 0.8382287942998186, 0.8409658539038958]
+[0.7960368857090916, 0.8447749626351673, 0.8382287942982295, 0.8409658539039073]
 </pre></div>
 </div>
 <p>The largest score will yield the best parameter combination.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.int64" title="numpy.int64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">best</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.argmax.html#numpy.argmax" title="numpy.argmax" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">argmax</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.int64" title="numpy.int64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">best</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.argmax.html#numpy.argmax" title="numpy.argmax" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">argmax</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Best score:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">scores</span></a><span class="p">[</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.int64" title="numpy.int64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">best</span></a><span class="p">])</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Score with defaults:&quot;</span><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">score_default</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Best damping:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">[</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.int64" title="numpy.int64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">best</span></a><span class="p">])</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Best score: 0.8447749626590715
-Score with defaults: 0.7960368857080609
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Best score: 0.8447749626351673
+Score with defaults: 0.7960368857090916
 Best damping: 0.0001
 </pre></div>
 </div>
@@ -1047,131 +738,575 @@ <h2>Tuning<a class="headerlink" href="#tuning" title="Permalink to this headline
 the cross-validation and tuning automatically when fitting a dataset.</p>
 </section>
 <section id="cross-validated-gridders">
-<h2>Cross-validated gridders<a class="headerlink" href="#cross-validated-gridders" title="Permalink to this headline">#</a></h2>
+<h2>Cross-validated gridders<a class="headerlink" href="#cross-validated-gridders" title="Link to this heading">#</a></h2>
 <p>The <a class="reference internal" href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.SplineCV</span></code></a> class provides a cross-validated version of
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>. It has almost the same interface but does all of the
 above automatically when fitting a dataset. The only difference is that you
 must provide a list of <code class="docutils literal notranslate"><span class="pre">damping</span></code> values to try instead of only a single
 value:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">SplineCV</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">SplineCV</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">)</span>
 </pre></div>
 </div>
 <p>Calling <a class="reference internal" href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a> will run a grid search over all parameter
 values to find the one that maximizes the cross-validation score.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   self.spline_ = Spline(**parameter_sets[best])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
 </pre></div>
 </div>
 <div class="output_subarea output_html rendered_html output_result">
-<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label sk-toggleable__label-arrow">SplineCV</label><div class="sk-toggleable__content"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre></div></div></div></div></div>
+<style>#sk-container-id-3 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-3 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-3 pre {
+  padding: 0;
+}
+
+#sk-container-id-3 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-3 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-3 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-3 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-3 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-3 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-3 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-3 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-3 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-3 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label label.sk-toggleable__label,
+#sk-container-id-3 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-3 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-3 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-3 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-3 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-3 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-3 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;SplineCV<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>SplineCV(dampings=[None, 0.0001, 0.001, 0.01], mindists=[0])</pre></div> </div></div></div></div>
 </div>
 <br />
 <br /><p>The estimated best <code class="docutils literal notranslate"><span class="pre">damping</span></code>, as well as the cross-validation scores, are
 stored in class attributes:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Highest score:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span><span class="o">.</span><span class="n">scores_</span><span class="o">.</span><span class="n">max</span></a><span class="p">())</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Highest score:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span><span class="o">.</span><span class="n">scores_</span><span class="o">.</span><span class="n">max</span></a><span class="p">())</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Best damping:&quot;</span><span class="p">,</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a><span class="o">.</span><span class="n">damping_</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Highest score: 0.8447749626590715
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Highest score: 0.8447749626351673
 Best damping: 0.0001
 </pre></div>
 </div>
 <p>The cross-validated gridder can be used like any other gridder (including in
 <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a> and <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a>):</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV.grid" title="verde.SplineCV.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV.grid" title="verde.SplineCV.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">,</span>
@@ -1181,7 +1316,6 @@ <h2>Cross-validated gridders<a class="headerlink" href="#cross-validated-gridder
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
 Dimensions:      (latitude: 43, longitude: 51)
 Coordinates:
@@ -1196,61 +1330,57 @@ <h2>Cross-validated gridders<a class="headerlink" href="#cross-validated-gridder
 <p>Like <a class="reference internal" href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a>, <a class="reference internal" href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">SplineCV</span></code></a> can also run the
 grid search in parallel using <a class="reference external" href="https://dask.org/">Dask</a> by specifying the
 <code class="docutils literal notranslate"><span class="pre">delayed</span></code> attribute:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">SplineCV</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">,</span> <span class="n">delayed</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">SplineCV</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dampings</span></a><span class="p">,</span> <span class="n">delayed</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
 <p>Unlike <a class="reference internal" href="../api/generated/verde.cross_val_score.html#verde.cross_val_score" title="verde.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.cross_val_score</span></code></a>, calling <a class="reference internal" href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit</span></code></a>
 does <strong>not</strong> result in <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> objects. The full grid search is
 executed and the optimal parameters are found immediately.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.SplineCV.html#verde.SplineCV.fit" title="verde.SplineCV.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Best damping:&quot;</span><span class="p">,</span> <a href="../api/generated/verde.SplineCV.html#verde.SplineCV" title="verde.SplineCV" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a><span class="o">.</span><span class="n">damping_</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:245: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   spline = Spline(**params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/sklearn/base.py:88: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/sklearn/base.py:125: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   new_object = klass(**new_object_params)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-  score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-  score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/model_selection.py:784: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
-  score = estimator.score(*test_data)
-/usr/share/miniconda3/envs/test/lib/python3.9/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/spline.py:261: FutureWarning: The mindist parameter of verde.Spline is no longer required and will be removed in Verde 2.0.0. Use the default value to obtain the future behavior.
   self.spline_ = Spline(**parameter_sets[best])
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
 Best damping: 0.0001
 </pre></div>
 </div>
 <p>The one caveat is the that the <code class="docutils literal notranslate"><span class="pre">scores_</span></code> attribute will be a list of
 <code class="xref py py-func docutils literal notranslate"><span class="pre">dask.delayed</span></code> objects instead because the scores are only computed as
 intermediate values in the scheduled computations.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Delayed scores:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span><span class="o">.</span><span class="n">scores_</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Delayed scores:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span><span class="o">.</span><span class="n">scores_</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Delayed scores: [Delayed(&#39;mean-ca72dae0-6a62-47bc-93fb-e5d1f76751ac&#39;), Delayed(&#39;mean-53b37bdb-3c6e-4e88-92c2-92e544879f81&#39;), Delayed(&#39;mean-628bc887-7136-4719-b9f6-c180de882cbc&#39;), Delayed(&#39;mean-59ffe4df-c537-45ed-a42f-9a8cffb2e2d2&#39;)]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Delayed scores: [Delayed(&#39;mean-5df063fb-539e-4e9b-8b06-1454beee2c57&#39;), Delayed(&#39;mean-49e0e6a8-2930-4a87-af73-0dec4f943a41&#39;), Delayed(&#39;mean-a07f3f55-0430-4196-b6c4-1d3408521f76&#39;), Delayed(&#39;mean-be52421b-bc6f-4d36-b06c-189b6b8044fa&#39;)]
 </pre></div>
 </div>
 <p>Calling <a class="reference external" href="https://docs.dask.org/en/latest/api.html#dask.compute" title="(in Dask)"><code class="xref py py-func docutils literal notranslate"><span class="pre">dask.compute</span></code></a> on the scores will calculate their values but
@@ -1259,10 +1389,10 @@ <h2>Cross-validated gridders<a class="headerlink" href="#cross-validated-gridder
 combination.</p>
 </section>
 <section id="the-importance-of-tuning">
-<h2>The importance of tuning<a class="headerlink" href="#the-importance-of-tuning" title="Permalink to this headline">#</a></h2>
+<h2>The importance of tuning<a class="headerlink" href="#the-importance-of-tuning" title="Link to this heading">#</a></h2>
 <p>To see the difference that tuning has on the results, we can make a grid
 with the best configuration and see how it compares to the default result.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_default</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline_default</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_default</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline_default</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
     <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">,</span>
     <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">,</span>
@@ -1272,7 +1402,7 @@ <h2>The importance of tuning<a class="headerlink" href="#the-importance-of-tunin
 </pre></div>
 </div>
 <p>Let’s plot our grids side-by-side:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mask</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mask</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
     <span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span>
     <span class="n">maxdist</span><span class="o">=</span><span class="mi">3</span> <span class="o">*</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span>
     <span class="n">coordinates</span><span class="o">=</span><a href="../api/generated/verde.grid_coordinates.html#verde.grid_coordinates" title="verde.grid_coordinates" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">grid_coordinates</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="p">),</span>
@@ -1284,10 +1414,10 @@ <h2>The importance of tuning<a class="headerlink" href="#the-importance-of-tunin
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
 <span class="k">for</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grd</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="p">[</span><span class="s2">&quot;Defaults&quot;</span><span class="p">,</span> <span class="s2">&quot;Tuned&quot;</span><span class="p">],</span> <span class="p">[</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_default</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">]):</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">)</span>
     <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grd</span></a><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
         <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span>
         <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span>
         <span class="n">vmin</span><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.min.html#pandas.Series.min" title="pandas.Series.min" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span><span class="o">.</span><span class="n">min</span></a><span class="p">(),</span>
@@ -1299,70 +1429,125 @@ <h2>The importance of tuning<a class="headerlink" href="#the-importance-of-tunin
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span>
         <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
     <span class="p">)</span>
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+    <a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
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 </pre></div>
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 <img src="../_images/sphx_glr_model_selection_001.png" srcset="../_images/sphx_glr_model_selection_001.png" alt="Defaults, Tuned" class = "sphx-glr-single-img"/><p>Notice that, for sparse data like these, <strong>smoother models tend to be better
 predictors</strong>. This is a sign that you should probably not trust many of the
 short wavelength features that we get from the defaults.</p>
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diff --git a/dev/tutorials/overview.html b/dev/tutorials/overview.html
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-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
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-<!-- Table of contents -->
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-   The library
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-   The gridder interface
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-   Generating grids and profiles
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-   Wrap up
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+<div id="jb-print-docs-body" class="onlyprint">
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+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-library">The library</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-gridder-interface">The gridder interface</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-grids-and-profiles">Generating grids and profiles</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#wrap-up">Wrap up</a></li>
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-   The library
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-   Wrap up
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-overview-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-overview-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="overview">
-<span id="sphx-glr-tutorials-overview-py"></span><span id="id1"></span><h1>Overview<a class="headerlink" href="#overview" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-overview-py"></span><span id="id1"></span><h1>Overview<a class="headerlink" href="#overview" title="Link to this heading">#</a></h1>
 <p>Verde provides classes and functions for processing spatial data, like
 bathymetry, GPS, temperature, gravity, or anything else that is measured along
 a surface. The main focus is on methods for gridding such data (interpolating
 on a regular grid). You’ll also find other analysis methods that are often used
 in combination with gridding, like trend removal and blocked operations.</p>
 <section id="conventions">
-<h2>Conventions<a class="headerlink" href="#conventions" title="Permalink to this headline">#</a></h2>
+<h2>Conventions<a class="headerlink" href="#conventions" title="Link to this heading">#</a></h2>
 <p>Before we get started, here are a few of the conventions we use across Verde:</p>
 <ul class="simple">
 <li><p>Coordinates can be Cartesian or Geographic. We generally make no assumptions
@@ -903,19 +527,19 @@ <h2>Conventions<a class="headerlink" href="#conventions" title="Permalink to thi
 </ul>
 </section>
 <section id="the-library">
-<h2>The library<a class="headerlink" href="#the-library" title="Permalink to this headline">#</a></h2>
+<h2>The library<a class="headerlink" href="#the-library" title="Link to this heading">#</a></h2>
 <p>Most classes and functions are available through the <a class="reference internal" href="../api/index.html#module-verde" title="verde"><code class="xref py py-mod docutils literal notranslate"><span class="pre">verde</span></code></a> top level
 package. The only exception is the <a class="reference internal" href="../api/index.html#module-verde.synthetic" title="verde.synthetic"><code class="xref py py-mod docutils literal notranslate"><span class="pre">verde.synthetic</span></code></a> module that has
 functionality for generating synthetic data. Throughout the documentation we’ll
 use <code class="docutils literal notranslate"><span class="pre">vd</span></code> as the alias for <a class="reference internal" href="../api/index.html#module-verde" title="verde"><code class="xref py py-mod docutils literal notranslate"><span class="pre">verde</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 
 <span class="kn">import</span> <span class="nn">verde</span> <span class="k">as</span> <span class="nn">vd</span>
 </pre></div>
 </div>
 </section>
 <section id="the-gridder-interface">
-<span id="gridder-interface"></span><h2>The gridder interface<a class="headerlink" href="#the-gridder-interface" title="Permalink to this headline">#</a></h2>
+<span id="gridder-interface"></span><h2>The gridder interface<a class="headerlink" href="#the-gridder-interface" title="Link to this heading">#</a></h2>
 <p>All gridding and trend estimation classes in Verde share the same interface
 (they all inherit from <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder" title="verde.base.BaseGridder"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.base.BaseGridder</span></code></a>). Since most gridders
 in Verde are linear models, we based our gridder interface on the
@@ -929,11 +553,10 @@ <h2>The library<a class="headerlink" href="#the-library" title="Permalink to thi
 for spatial data and is common to all classes and functions in Verde.</p>
 <p>As an example, let’s generate some synthetic data using
 <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.synthetic.CheckerBoard</span></code></a>:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard" class="sphx-glr-backref-module-verde-synthetic sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">synthetic</span><span class="o">.</span><span class="n">CheckerBoard</span></a><span class="p">()</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">500</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard" class="sphx-glr-backref-module-verde-synthetic sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">synthetic</span><span class="o">.</span><span class="n">CheckerBoard</span></a><span class="p">()</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">500</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head" title="pandas.DataFrame.head" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">head</span></a><span class="p">())</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>      northing      easting     scalars
 0 -3448.095870  2744.067520 -417.745960
 1 -3134.825681  3575.946832  -10.460197
@@ -943,8 +566,8 @@ <h2>The library<a class="headerlink" href="#the-library" title="Permalink to thi
 </pre></div>
 </div>
 <p>The data are random points taken from a checkerboard function and returned to
-us in a <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
+us in a <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>:</p>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">easting</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">northing</span></a><span class="p">,</span> <span class="n">c</span><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">scalars</span></a><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;RdBu_r&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
@@ -952,18 +575,17 @@ <h2>The library<a class="headerlink" href="#the-library" title="Permalink to thi
 </div>
 <img src="../_images/sphx_glr_overview_001.png" srcset="../_images/sphx_glr_overview_001.png" alt="overview" class = "sphx-glr-single-img"/><p>Now we can use the bi-harmonic spline method <a class="reference internal" href="../references.html#sandwell1987" id="id2"><span>[Sandwell1987]</span></a> to fit this
 data. First, we create a new <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span>
 <span class="c1"># Printing a gridder shows the class and all of it&#39;s configuration options.</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Spline(mindist=0)
 </pre></div>
 </div>
 <p>Before we can use the spline, we need to fit it to our synthetic data. After
 that, we can use the spline to predict values anywhere:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline.fit" title="verde.Spline.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">easting</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">northing</span></a><span class="p">),</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">scalars</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Spline.html#verde.Spline.fit" title="verde.Spline.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">fit</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">easting</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">northing</span></a><span class="p">),</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">scalars</span></a><span class="p">)</span>
 
 <span class="c1"># Generate coordinates for a regular grid with 100 m grid spacing (assuming</span>
 <span class="c1"># coordinates are in meters).</span>
@@ -976,30 +598,32 @@ <h2>The library<a class="headerlink" href="#the-library" title="Permalink to thi
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_overview_002.png" srcset="../_images/sphx_glr_overview_002.png" alt="overview" class = "sphx-glr-single-img"/><p>We can compare our predictions with the true values for the checkerboard
+<img src="../_images/sphx_glr_overview_002.png" srcset="../_images/sphx_glr_overview_002.png" alt="overview" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+</pre></div>
+</div>
+<p>We can compare our predictions with the true values for the checkerboard
 function using the <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline.score" title="verde.Spline.score"><code class="xref py py-meth docutils literal notranslate"><span class="pre">score</span></code></a> method to calculate the
 <a class="reference external" href="https://en.wikipedia.org/wiki/Coefficient_of_determination">R² coefficient of determination</a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">true_values</span></a> <span class="o">=</span> <a href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard" class="sphx-glr-backref-module-verde-synthetic sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">synthetic</span><span class="o">.</span><span class="n">CheckerBoard</span></a><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_coords</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">true_values</span></a> <span class="o">=</span> <a href="../api/generated/verde.synthetic.CheckerBoard.html#verde.synthetic.CheckerBoard" title="verde.synthetic.CheckerBoard" class="sphx-glr-backref-module-verde-synthetic sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">synthetic</span><span class="o">.</span><span class="n">CheckerBoard</span></a><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_coords</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Spline.html#verde.Spline.score" title="verde.Spline.score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">score</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_coords</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">true_values</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/overview.py:115: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   print(spline.score(grid_coords, true_values))
-0.9950450863038868
+0.9950450863038913
 </pre></div>
 </div>
 </section>
 <section id="generating-grids-and-profiles">
-<h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-and-profiles" title="Permalink to this headline">#</a></h2>
+<h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-and-profiles" title="Link to this heading">#</a></h2>
 <p>A more convenient way of generating grids is through the
 <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.grid" title="verde.base.BaseGridder.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> method. It will automatically generate
-coordinates and output an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><span class="n">spacing</span><span class="o">=</span><span class="mi">30</span><span class="p">)</span>
+coordinates and output an <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>.</p>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><span class="n">spacing</span><span class="o">=</span><span class="mi">30</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
 Dimensions:   (northing: 168, easting: 167)
 Coordinates:
@@ -1014,7 +638,7 @@ <h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-a
 <p><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.grid" title="verde.base.BaseGridder.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> uses default names for the coordinates
 (“easting” and “northing”) and data variables (“scalars”). You can overwrite
 these names by setting the <code class="docutils literal notranslate"><span class="pre">dims</span></code> and <code class="docutils literal notranslate"><span class="pre">data_names</span></code> arguments.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><span class="n">spacing</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">dims</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;latitude&quot;</span><span class="p">,</span> <span class="s2">&quot;longitude&quot;</span><span class="p">],</span> <span class="n">data_names</span><span class="o">=</span><span class="s2">&quot;gravity&quot;</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><span class="n">spacing</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">dims</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;latitude&quot;</span><span class="p">,</span> <span class="s2">&quot;longitude&quot;</span><span class="p">],</span> <span class="n">data_names</span><span class="o">=</span><span class="s2">&quot;gravity&quot;</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
@@ -1022,8 +646,7 @@ <h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-a
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_overview_003.png" srcset="../_images/sphx_glr_overview_003.png" alt="overview" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
+<img src="../_images/sphx_glr_overview_003.png" srcset="../_images/sphx_glr_overview_003.png" alt="overview" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
 Dimensions:    (latitude: 168, longitude: 167)
 Coordinates:
   * longitude  (longitude) float64 23.48 53.42 83.37 ... 4.964e+03 4.994e+03
@@ -1036,8 +659,8 @@ <h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-a
 </div>
 <p>Gridders can also be used to interpolate data on a straight line between two
 points using the <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.profile" title="verde.base.BaseGridder.profile"><code class="xref py py-meth docutils literal notranslate"><span class="pre">profile</span></code></a> method. The profile
-data are returned as a <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.0.1)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">prof</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.profile" title="verde.Spline.profile" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">profile</span></a><span class="p">(</span><span class="n">point1</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="n">point2</span><span class="o">=</span><span class="p">(</span><span class="mi">5000</span><span class="p">,</span> <span class="o">-</span><span class="mi">5000</span><span class="p">),</span> <span class="n">size</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
+data are returned as a <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a>.</p>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">prof</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.profile" title="verde.Spline.profile" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">profile</span></a><span class="p">(</span><span class="n">point1</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="n">point2</span><span class="o">=</span><span class="p">(</span><span class="mi">5000</span><span class="p">,</span> <span class="o">-</span><span class="mi">5000</span><span class="p">),</span> <span class="n">size</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head" title="pandas.DataFrame.head" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">prof</span><span class="o">.</span><span class="n">head</span></a><span class="p">())</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
@@ -1045,8 +668,7 @@ <h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-a
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_overview_004.png" srcset="../_images/sphx_glr_overview_004.png" alt="overview" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>     northing     easting    distance     scalars
+<img src="../_images/sphx_glr_overview_004.png" srcset="../_images/sphx_glr_overview_004.png" alt="overview" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>     northing     easting    distance     scalars
 0    0.000000    0.000000    0.000000   66.785386
 1  -25.125628   25.125628   35.533004   92.895119
 2  -50.251256   50.251256   71.066008  124.644015
@@ -1056,7 +678,7 @@ <h2>Generating grids and profiles<a class="headerlink" href="#generating-grids-a
 </div>
 </section>
 <section id="wrap-up">
-<h2>Wrap up<a class="headerlink" href="#wrap-up" title="Permalink to this headline">#</a></h2>
+<h2>Wrap up<a class="headerlink" href="#wrap-up" title="Link to this heading">#</a></h2>
 <p>This covers the basics of using Verde. Most use cases and examples in the
 documentation will involve some variation of the following workflow:</p>
 <ol class="arabic simple">
@@ -1066,63 +688,120 @@ <h2>Wrap up<a class="headerlink" href="#wrap-up" title="Permalink to this headli
 <li><p>Predict new values (using <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.predict" title="verde.base.BaseGridder.predict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">predict</span></code></a> or
 <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html#verde.base.BaseGridder.grid" title="verde.base.BaseGridder.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a>)</p></li>
 </ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.686 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-overview-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/ebb5519668b799fc9e6596d299314e5a/overview.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">overview.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.466 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-overview-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/4ac16ddf039c43285d5fed04b3dede96/overview.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">overview.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/ebb5519668b799fc9e6596d299314e5a/overview.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">overview.py</span></code></a></p>
+</div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
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+                </footer>
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+                <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
+
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#conventions">Conventions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-library">The library</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-gridder-interface">The gridder interface</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#generating-grids-and-profiles">Generating grids and profiles</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#wrap-up">Wrap up</a></li>
+</ul>
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diff --git a/dev/tutorials/projections.html b/dev/tutorials/projections.html
index 8cc38a07a..4694f260a 100644
--- a/dev/tutorials/projections.html
+++ b/dev/tutorials/projections.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../" >
+
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-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>Geographic Coordinates | Verde dev</title>
     
 
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+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../_static/copybutton.js?v=f281be69"></script>
+    <script src="../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/projections';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="Chaining Operations" href="chain.html" />
@@ -55,817 +65,449 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
-<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation" aria-label="Toggle navigation sidebar">
-<label class="overlay overlay-navbar" for="__navigation">
-    <div class="visually-hidden">Toggle navigation sidebar</div>
-</label>
-<!-- Checkboxes to toggle the in-page toc -->
-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="../index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
-      
-      
-      <img src="../_static/verde-logo.png" class="logo" alt="logo">
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
       
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
-  <label for="toctree-checkbox-1">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
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-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
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-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-   </li>
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-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
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-   </li>
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-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
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-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
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- <li class="toc-h2 nav-item toc-entry">
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Geographic Coordinates</h1>
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-                <h1>Geographic Coordinates</h1>
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-projections-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-projections-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="geographic-coordinates">
-<span id="sphx-glr-tutorials-projections-py"></span><h1>Geographic Coordinates<a class="headerlink" href="#geographic-coordinates" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-projections-py"></span><h1>Geographic Coordinates<a class="headerlink" href="#geographic-coordinates" title="Link to this heading">#</a></h1>
 <p>Most gridders and processing methods in Verde operate under the assumption that
 the data coordinates are Cartesian. To process data in geographic (longitude
 and latitude) coordinates, we must first project them. There are different ways
 of doing this in Python but most of them rely on the <a class="reference external" href="https://proj4.org/">PROJ library</a>. We’ll use <a class="reference external" href="https://github.com/jswhit/pyproj">pyproj</a> to access PROJ directly and handle the
 projection operations.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -876,26 +518,25 @@ <h2> Contents </h2>
 <p>With pyproj, we can create functions that will project our coordinates to and
 from different coordinate systems. For our Baja California bathymetry data,
 we’ll use a Mercator projection.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_baja_bathymetry.html#verde.datasets.fetch_baja_bathymetry" title="verde.datasets.fetch_baja_bathymetry" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_baja_bathymetry</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_baja_bathymetry.html#verde.datasets.fetch_baja_bathymetry" title="verde.datasets.fetch_baja_bathymetry" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_baja_bathymetry</span></a><span class="p">()</span>
 <span class="c1"># We&#39;re choosing the latitude of true scale as the mean latitude of our dataset</span>
 <span class="n">projection</span> <span class="o">=</span> <span class="n">pyproj</span><span class="o">.</span><span class="n">Proj</span><span class="p">(</span><span class="n">proj</span><span class="o">=</span><span class="s2">&quot;merc&quot;</span><span class="p">,</span> <span class="n">lat_ts</span><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.mean.html#pandas.Series.mean" title="pandas.Series.mean" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">mean</span></a><span class="p">())</span>
 </pre></div>
 </div>
 <p>The Proj object is a callable (meaning that it behaves like a function) that
 will take longitude and latitude and return easting and northing coordinates.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># pyproj doesn&#39;t play well with Pandas so we need to convert to numpy arrays</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># pyproj doesn&#39;t play well with Pandas so we need to convert to numpy arrays</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a> <span class="o">=</span> <span class="n">projection</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-property"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-property"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(array([-11749316.65303046, -11748999.90777981, -11748682.14077029, ...,
        -11749178.7155826 , -11749531.22239381, -11749882.70744613]), array([2905766.05183735, 2905457.83817751, 2905148.48639437, ...,
        2579612.89349502, 2580017.48641078, 2580422.09116873]))
 </pre></div>
 </div>
 <p>We can plot our projected coordinates using matplotlib.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.title.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">&quot;Projected coordinates of bathymetry measurements&quot;</span><span class="p">)</span>
 <span class="c1"># Plot the bathymetry data locations as black dots</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
@@ -907,24 +548,31 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_projections_001.png" srcset="../_images/sphx_glr_projections_001.png" alt="Projected coordinates of bathymetry measurements" class = "sphx-glr-single-img"/><section id="cartesian-grids">
-<h2>Cartesian grids<a class="headerlink" href="#cartesian-grids" title="Permalink to this headline">#</a></h2>
+<h2>Cartesian grids<a class="headerlink" href="#cartesian-grids" title="Link to this heading">#</a></h2>
 <p>Now we can use <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a> and <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> on our
 projected coordinates. We’ll specify the desired grid spacing as degrees and
 convert it to Cartesian using the 1 degree approx. 111 km rule-of-thumb.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">10</span> <span class="o">/</span> <span class="mi">60</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">10</span> <span class="o">/</span> <span class="mi">60</span>
 <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median" title="numpy.median" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">median</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">)</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">filter_coords</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">filter_bathy</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce.filter" title="verde.BlockReduce.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">reducer</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">bathymetry_m</span></a><span class="p">)</span>
 <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">filter_coords</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">filter_bathy</span></a><span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function median at 0x7f7a634ca7a0&gt; is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;median&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+</pre></div>
+</div>
 <p>If we now call <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Spline.grid</span></code></a> we’ll get back a grid evenly spaced
 in projected Cartesian coordinates.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span> <span class="n">data_names</span><span class="o">=</span><span class="s2">&quot;bathymetry&quot;</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.grid" title="verde.Spline.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span> <span class="n">data_names</span><span class="o">=</span><span class="s2">&quot;bathymetry&quot;</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Cartesian grid:&quot;</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Cartesian grid:
 &lt;xarray.Dataset&gt;
 Dimensions:     (northing: 61, easting: 54)
@@ -939,7 +587,7 @@ <h2>Cartesian grids<a class="headerlink" href="#cartesian-grids" title="Permalin
 </div>
 <p>We’ll mask our grid using <a class="reference internal" href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.distance_mask</span></code></a> to get rid of all the
 spurious solutions far away from the data points.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <span class="n">maxdist</span><span class="o">=</span><span class="mf">30e3</span><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span> <span class="n">maxdist</span><span class="o">=</span><span class="mf">30e3</span><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.title.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">&quot;Gridded bathymetry in Cartesian coordinates&quot;</span><span class="p">)</span>
@@ -955,7 +603,7 @@ <h2>Cartesian grids<a class="headerlink" href="#cartesian-grids" title="Permalin
 </div>
 <img src="../_images/sphx_glr_projections_002.png" srcset="../_images/sphx_glr_projections_002.png" alt="projections" class = "sphx-glr-single-img"/></section>
 <section id="geographic-grids">
-<h2>Geographic grids<a class="headerlink" href="#geographic-grids" title="Permalink to this headline">#</a></h2>
+<h2>Geographic grids<a class="headerlink" href="#geographic-grids" title="Link to this heading">#</a></h2>
 <p>The Cartesian grid that we generated won’t be evenly spaced if we convert the
 coordinates back to geographic latitude and longitude. Verde gridders allow
 you to generate an evenly spaced grid in geographic coordinates through the
@@ -965,7 +613,7 @@ <h2>Geographic grids<a class="headerlink" href="#geographic-grids" title="Permal
 the projection function before predicting data values. This way, you can
 generate a grid in a coordinate system other than the one you used to fit the
 spline.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Get the geographic bounding region of the data</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Get the geographic bounding region of the data</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a> <span class="o">=</span> <a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">))</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Data region in degrees:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">)</span>
 
@@ -981,7 +629,6 @@ <h2>Geographic grids<a class="headerlink" href="#geographic-grids" title="Permal
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Data region in degrees: (245.0, 254.705, 20.0, 29.99131)
 Geographic grid:
 &lt;xarray.Dataset&gt;
@@ -999,31 +646,30 @@ <h2>Geographic grids<a class="headerlink" href="#geographic-grids" title="Permal
 different number of points than the Cartesian grid.</p>
 <p>The <a class="reference internal" href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.distance_mask</span></code></a> function also supports the <code class="docutils literal notranslate"><span class="pre">projection</span></code>
 argument and will project the coordinates before calculating distances.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
     <span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span> <span class="n">maxdist</span><span class="o">=</span><span class="mf">30e3</span><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">projection</span>
 <span class="p">)</span>
 </pre></div>
 </div>
 <p>Now we can use the Cartopy library to plot our geographic grid.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Geographic grid of bathymetry&quot;</span><span class="p">)</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a><span class="o">.</span><span class="n">bathymetry</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_projections_003.png" srcset="../_images/sphx_glr_projections_003.png" alt="projections" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/projections.py:143: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
+<img src="../_images/sphx_glr_projections_003.png" srcset="../_images/sphx_glr_projections_003.png" alt="projections" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/projections.py:143: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
   vd.datasets.setup_baja_bathymetry_map(ax, land=None)
 </pre></div>
 </div>
 </section>
 <section id="profiles">
-<h2>Profiles<a class="headerlink" href="#profiles" title="Permalink to this headline">#</a></h2>
+<h2>Profiles<a class="headerlink" href="#profiles" title="Link to this heading">#</a></h2>
 <p>For profiles, things are a bit different. The projection is applied to the
 input points before coordinates are generated. So the profile will be evenly
 spaced in <em>projected coordinates</em>, not geographic coordinates. This is to
@@ -1036,7 +682,7 @@ <h2>Profiles<a class="headerlink" href="#profiles" title="Permalink to this head
 system (making it easier to plot on a map).</p>
 <p>To generate a profile cutting across our bathymetry data, we can use
 longitude and latitude points taken from the map above).</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">start</span></a> <span class="o">=</span> <span class="p">(</span><span class="o">-</span><span class="mf">114.5</span><span class="p">,</span> <span class="mf">24.7</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">start</span></a> <span class="o">=</span> <span class="p">(</span><span class="o">-</span><span class="mf">114.5</span><span class="p">,</span> <span class="mf">24.7</span><span class="p">)</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">end</span></a> <span class="o">=</span> <span class="p">(</span><span class="o">-</span><span class="mi">110</span><span class="p">,</span> <span class="mf">20.5</span><span class="p">)</span>
 <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span></a> <span class="o">=</span> <a href="../api/generated/verde.Spline.html#verde.Spline.profile" title="verde.Spline.profile" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">spline</span><span class="o">.</span><span class="n">profile</span></a><span class="p">(</span>
     <span class="n">point1</span><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">start</span></a><span class="p">,</span>
@@ -1049,7 +695,6 @@ <h2>Profiles<a class="headerlink" href="#profiles" title="Permalink to this head
 <span class="nb">print</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>      latitude   longitude       distance   bathymetry
 0    24.700000 -114.500000       0.000000 -4115.540285
 1    24.679226 -114.477387    3276.548360 -4397.069051
@@ -1061,34 +706,33 @@ <h2>Profiles<a class="headerlink" href="#profiles" title="Permalink to this head
 196  20.564257 -110.067839  642203.478581 -2969.351779
 197  20.542841 -110.045226  645480.026941 -2914.069305
 198  20.521422 -110.022613  648756.575301 -2859.557817
-199  20.500000 -110.000000  652033.123661 -2818.101949
+199  20.500000 -110.000000  652033.123661 -2818.101948
 
 [200 rows x 4 columns]
 </pre></div>
 </div>
 <p>Plot the profile location on our geographic grid from above.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Profile location&quot;</span><span class="p">)</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_geo</span></a><span class="o">.</span><span class="n">bathymetry</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;meters&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;-k&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.text.html#matplotlib.axes.Axes.text" title="matplotlib.axes.Axes.text" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">text</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">start</span></a><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">start</span></a><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.text.html#matplotlib.axes.Axes.text" title="matplotlib.axes.Axes.text" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">text</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">end</span></a><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">end</span></a><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="s2">&quot;B&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">())</span>
-<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html#verde.datasets.setup_baja_bathymetry_map" title="verde.datasets.setup_baja_bathymetry_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_baja_bathymetry_map</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_projections_004.png" srcset="../_images/sphx_glr_projections_004.png" alt="projections" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/projections.py:191: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
+<img src="../_images/sphx_glr_projections_004.png" srcset="../_images/sphx_glr_projections_004.png" alt="projections" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/projections.py:191: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
   vd.datasets.setup_baja_bathymetry_map(ax, land=None)
 </pre></div>
 </div>
 <p>And finally plot the profile.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
-<span class="n">ax</span> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Profile of bathymetry (A-B)&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span><span class="o">.</span><span class="n">distance</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">profile</span><span class="o">.</span><span class="n">bathymetry</span></a><span class="p">,</span> <span class="s2">&quot;-k&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_xlabel.html#matplotlib.axes.Axes.set_xlabel" title="matplotlib.axes.Axes.set_xlabel" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span></a><span class="p">(</span><span class="s2">&quot;Distance (m)&quot;</span><span class="p">)</span>
@@ -1099,63 +743,118 @@ <h2>Profiles<a class="headerlink" href="#profiles" title="Permalink to this head
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_projections_005.png" srcset="../_images/sphx_glr_projections_005.png" alt="Profile of bathymetry (A-B)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.739 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-projections-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/49f15049f8c156fb50150d02b2ed9cc6/projections.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">projections.py</span></code></a></p>
-</div>
+<img src="../_images/sphx_glr_projections_005.png" srcset="../_images/sphx_glr_projections_005.png" alt="Profile of bathymetry (A-B)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.296 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-projections-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/59f9d0a86f40e78311a5003858f7264a/projections.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">projections.ipynb</span></code></a></p>
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+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/49f15049f8c156fb50150d02b2ed9cc6/projections.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">projections.py</span></code></a></p>
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+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="overview.html">
-   Overview
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-     K-Fold cross-validation with blocks
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
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-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
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-     Gridding with a cubic interpolator
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-     Mask grid points by distance
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-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
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-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
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-   <li class="toctree-l2">
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-     verde.train_test_split
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-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
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+              
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+    <h1>Computation times</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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     </div>
-    <div class="article row">
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-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Computation times</h1>
-                <!-- Table of contents -->
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-                    <div id="jb-print-toc">
-                        
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+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="computation-times">
-<span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">#</a></h1>
-<p><strong>00:22.008</strong> total execution time for <strong>tutorials</strong> files:</p>
-<table class="table">
-<colgroup>
-<col style="width: 79%" />
-<col style="width: 12%" />
-<col style="width: 9%" />
-</colgroup>
+<span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
+<p><strong>00:14.925</strong> total execution time for 10 files <strong>from tutorials</strong>:</p>
+<div class="docutils container">
+<style scoped>
+<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+<link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+</style>
+<script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+<script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+<script type="text/javascript" class="init">
+$(document).ready( function () {
+    $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+} );
+</script><table class="table table-striped sg-datatable">
+<thead>
+<tr class="row-odd"><th class="head"><p>Example</p></th>
+<th class="head"><p>Time</p></th>
+<th class="head"><p>Mem (MB)</p></th>
+</tr>
+</thead>
 <tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a> (<code class="docutils literal notranslate"><span class="pre">chain.py</span></code>)</p></td>
-<td><p>00:10.906</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="chain.html#sphx-glr-tutorials-chain-py"><span class="std std-ref">Chaining Operations</span></a> (<code class="docutils literal notranslate"><span class="pre">chain.py</span></code>)</p></td>
+<td><p>00:04.145</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a> (<code class="docutils literal notranslate"><span class="pre">decimation.py</span></code>)</p></td>
-<td><p>00:02.958</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="decimation.html#sphx-glr-tutorials-decimation-py"><span class="std std-ref">Data Decimation</span></a> (<code class="docutils literal notranslate"><span class="pre">decimation.py</span></code>)</p></td>
+<td><p>00:03.409</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">weights.py</span></code>)</p></td>
-<td><p>00:02.758</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="weights.html#sphx-glr-tutorials-weights-py"><span class="std std-ref">Using Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">weights.py</span></code>)</p></td>
+<td><p>00:02.482</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">projections.py</span></code>)</p></td>
-<td><p>00:01.739</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="projections.html#sphx-glr-tutorials-projections-py"><span class="std std-ref">Geographic Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">projections.py</span></code>)</p></td>
+<td><p>00:01.296</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a> (<code class="docutils literal notranslate"><span class="pre">vectors.py</span></code>)</p></td>
-<td><p>00:01.403</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="vectors.html#sphx-glr-tutorials-vectors-py"><span class="std std-ref">Vector Data</span></a> (<code class="docutils literal notranslate"><span class="pre">vectors.py</span></code>)</p></td>
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-<td><p>00:00.498</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="model_selection.html#sphx-glr-tutorials-model-selection-py"><span class="std std-ref">Model Selection</span></a> (<code class="docutils literal notranslate"><span class="pre">model_selection.py</span></code>)</p></td>
+<td><p>00:00.551</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="model_evaluation.html#sphx-glr-tutorials-model-evaluation-py"><span class="std std-ref">Evaluating Performance</span></a> (<code class="docutils literal notranslate"><span class="pre">model_evaluation.py</span></code>)</p></td>
-<td><p>00:00.475</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="overview.html#sphx-glr-tutorials-overview-py"><span class="std std-ref">Overview</span></a> (<code class="docutils literal notranslate"><span class="pre">overview.py</span></code>)</p></td>
+<td><p>00:00.466</p></td>
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 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a> (<code class="docutils literal notranslate"><span class="pre">trends.py</span></code>)</p></td>
-<td><p>00:00.326</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="trends.html#sphx-glr-tutorials-trends-py"><span class="std std-ref">Trend Estimation</span></a> (<code class="docutils literal notranslate"><span class="pre">trends.py</span></code>)</p></td>
+<td><p>00:00.317</p></td>
+<td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">grid_coordinates.py</span></code>)</p></td>
-<td><p>00:00.259</p></td>
-<td><p>0.0 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="grid_coordinates.html#sphx-glr-tutorials-grid-coordinates-py"><span class="std std-ref">Grid Coordinates</span></a> (<code class="docutils literal notranslate"><span class="pre">grid_coordinates.py</span></code>)</p></td>
+<td><p>00:00.197</p></td>
+<td><p>0.0</p></td>
 </tr>
 </tbody>
 </table>
+</div>
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diff --git a/dev/tutorials/trends.html b/dev/tutorials/trends.html
index d760a5161..af9b0faf9 100644
--- a/dev/tutorials/trends.html
+++ b/dev/tutorials/trends.html
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-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
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+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Trend Estimation</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Trend Estimation</h1>
-                <!-- Table of contents -->
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+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-trends-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-trends-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="trend-estimation">
-<span id="sphx-glr-tutorials-trends-py"></span><h1>Trend Estimation<a class="headerlink" href="#trend-estimation" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-trends-py"></span><h1>Trend Estimation<a class="headerlink" href="#trend-estimation" title="Link to this heading">#</a></h1>
 <p>Trend estimation and removal is a common operation, particularly when dealing
 with geophysical data. Moreover, some of the interpolation methods, like
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>, can struggle with long-wavelength trends in the data.
 The <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a> class fits a 2D polynomial trend of arbitrary degree
 to the data and can be used to remove it.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
@@ -817,11 +504,11 @@ <h1>Trend Estimation</h1>
 </div>
 <p>Our sample air temperature data from Texas has a clear trend from land to the
 ocean:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_texas_wind.html#verde.datasets.fetch_texas_wind" title="verde.datasets.fetch_texas_wind" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_texas_wind</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_texas_wind.html#verde.datasets.fetch_texas_wind" title="verde.datasets.fetch_texas_wind" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_texas_wind</span></a><span class="p">()</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a> <span class="o">=</span> <span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span>
@@ -831,29 +518,30 @@ <h1>Trend Estimation</h1>
     <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">()</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;Air temperature (C)&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_trends_001.png" srcset="../_images/sphx_glr_trends_001.png" alt="trends" class = "sphx-glr-single-img"/><p>We can estimate the polynomial coefficients for this trend:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="n">degree</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="n">degree</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span><span class="o">.</span><span class="n">coef_</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[102.4946959    0.44373823  -1.48922224]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+[102.4946959    0.44373823  -1.48922224]
 </pre></div>
 </div>
 <p>More importantly, we can predict the trend values and remove them from our
 data:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend_values</span></a> <span class="o">=</span> <a href="../api/generated/verde.Trend.html#verde.Trend.predict" title="verde.Trend.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend_values</span></a> <span class="o">=</span> <a href="../api/generated/verde.Trend.html#verde.Trend.predict" title="verde.Trend.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">)</span>
 <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">residuals</span></a> <span class="o">=</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a> <span class="o">-</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend_values</span></a>
 
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
     <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="p">)</span>
 
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Trend&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span>
@@ -863,10 +551,10 @@ <h1>Trend Estimation</h1>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;plasma&quot;</span><span class="p">,</span>
     <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.06</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.06</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Residuals&quot;</span><span class="p">)</span>
 <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">residuals</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
@@ -879,82 +567,123 @@ <h1>Trend Estimation</h1>
     <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
     <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">(),</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.08</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/collections_api.html#matplotlib.collections.PathCollection" title="matplotlib.collections.PathCollection" class="sphx-glr-backref-module-matplotlib-collections sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.08</span><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_texas_wind_map.html#verde.datasets.setup_texas_wind_map" title="verde.datasets.setup_texas_wind_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_texas_wind_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_trends_002.png" srcset="../_images/sphx_glr_trends_002.png" alt="Trend, Residuals" class = "sphx-glr-single-img"/><p>The fitting, prediction, and residual calculation can all be done in a single
 step using the <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend.filter" title="verde.Trend.filter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">filter</span></code></a> method:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># ``filter`` always outputs coordinates and weights as well, which we don&#39;t</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># ``filter`` always outputs coordinates and weights as well, which we don&#39;t</span>
 <span class="c1"># need and will ignore here.</span>
 <span class="n">__</span><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">res_filter</span></a><span class="p">,</span> <span class="n">__</span> <span class="o">=</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="n">degree</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">air_temperature_c</span></a><span class="p">)</span>
 
 <span class="nb">print</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.allclose.html#numpy.allclose" title="numpy.allclose" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">allclose</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">res_filter</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">residuals</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>True
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+True
 </pre></div>
 </div>
 <p>Additionally, <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a> implements the <a class="reference internal" href="overview.html#overview"><span class="std std-ref">gridder interface</span></a> and has the <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend.grid" title="verde.Trend.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">grid</span></code></a> and
 <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend.profile" title="verde.Trend.profile"><code class="xref py py-meth docutils literal notranslate"><span class="pre">profile</span></code></a> methods.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.326 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-trends-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/5590a95eaf1667af589154146dc91b94/trends.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">trends.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.317 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-trends-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/053858a0efcae8d25a42f2bcf81f25e4/trends.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">trends.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/5590a95eaf1667af589154146dc91b94/trends.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">trends.py</span></code></a></p>
+</div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
 </section>
 
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
-                
-    <!-- Previous / next buttons -->
-<div class='prev-next-area'>
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-        <div class="prev-next-info">
-            <p class="prev-next-subtitle">previous</p>
-            <p class="prev-next-title">Grid Coordinates</p>
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diff --git a/dev/tutorials/vectors.html b/dev/tutorials/vectors.html
index 8b17bb1bd..074c053dd 100644
--- a/dev/tutorials/vectors.html
+++ b/dev/tutorials/vectors.html
@@ -2,51 +2,61 @@
 
 <!DOCTYPE html>
 
-<html>
+
+<html lang="en" data-content_root="../" >
+
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     <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
     
         <title>Vector Data | Verde dev</title>
     
 
-    
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
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-  <link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
-<link href="../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
-    
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
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+    <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
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+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-binder.css?v=f4aeca0c" />
+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-dataframe.css?v=2082cf3c" />
+    <link rel="stylesheet" type="text/css" href="../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
+    <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
+    <link rel="stylesheet" type="text/css" href="../_static/custom.css?v=44687e0a" />
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-    <script src="../_static/design-tabs.js"></script>
-    <link rel="shortcut icon" href="../_static/favicon.png"/>
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
+
+    <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
+    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="../_static/copybutton.js?v=f281be69"></script>
+    <script src="../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
+    <script src="../_static/design-tabs.js?v=36754332"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/vectors';</script>
+    <link rel="icon" href="../_static/favicon.png"/>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="List of functions and classes (API)" href="../api/index.html" />
@@ -55,829 +65,450 @@
     <script defer data-domain="fatiando.org" src="https://plausible.io/js/plausible.js"></script>
 
   </head>
-  <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="60">
-<!-- Checkboxes to toggle the left sidebar -->
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-<input type="checkbox" class="sidebar-toggle" name="__page-toc" id="__page-toc" aria-label="Toggle in-page Table of Contents">
-<label class="overlay overlay-pagetoc" for="__page-toc">
-    <div class="visually-hidden">Toggle in-page Table of Contents</div>
-</label>
-<!-- Headers at the top -->
-<div class="announcement header-item noprint"></div>
-<div class="header header-item noprint"></div>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
 
-    
-    <div class="container-fluid" id="banner"></div>
+  
+  
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
 
-    
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__primary"
+          id="__primary"/>
+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
+  
+  <div class="search-button__wrapper">
+    <div class="search-button__overlay"></div>
+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search..."
+         aria-label="Search..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+  
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
+  
 
-    <div class="container-xl">
-      <div class="row">
-          
-<!-- Sidebar -->
-<div class="bd-sidebar noprint" id="site-navigation">
-    <div class="bd-sidebar__content">
-        <div class="bd-sidebar__top"><div class="navbar-brand-box">
-    <a class="navbar-brand text-wrap" href="../index.html">
-      
-        <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
-        
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
       
       
-      <img src="../_static/verde-logo.png" class="logo" alt="logo">
       
-      
-      <h1 class="site-logo" id="site-title">Verde <span class="project-version">dev</span></h1>
-      
-    </a>
-</div><form class="bd-search d-flex align-items-center" action="../search.html" method="get">
-  <i class="icon fas fa-search"></i>
-  <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" >
-</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
-    <div class="bd-toc-item active">
-        <p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Getting Started
- </span>
-</p>
+      <div class="bd-sidebar-primary bd-sidebar">
+        
+
+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+    
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item">
+
+  
+
+<a class="navbar-brand logo" href="../index.html">
+  
+  
+  
+  
+  
+  
+    <p class="title logo__title">Verde <span class="project-version">dev</span></p>
+  
+</a></div>
+        <div class="sidebar-primary-item">
+
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script></div>
+        <div class="sidebar-primary-item"><nav class="bd-links bd-docs-nav" aria-label="Main">
+    <div class="bd-toc-item navbar-nav active">
+        <p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="overview.html">
-   Overview
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../install.html">
-   Installing
-  </a>
- </li>
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../gallery/index.html">
-   Gallery
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/>
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-   <i class="fas fa-chevron-down">
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockkfold.html">
-     K-Fold cross-validation with blocks
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce.html">
-     Blocked reduction operations
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights.html">
-     Using weights in blocked reduction
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
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- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="weights.html">Using Weights</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
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-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
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-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
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-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
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-<!-- Table of contents -->
-<div class="col-md-3 bd-toc show noprint">
-    <div class="tocsection onthispage pt-5 pb-3">
-        <i class="fas fa-list"></i> Contents
-    </div>
-    <nav id="bd-toc-nav" aria-label="Page">
-        <ul class="visible nav section-nav flex-column">
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#blocked-reductions">
-   Blocked reductions
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#trends">
-   Trends
-  </a>
- </li>
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-   Gridding
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-    <a class="reference internal nav-link" href="#gps-gnss-data">
-     GPS/GNSS data
-    </a>
-   </li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Vector Data</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#blocked-reductions">Blocked reductions</a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#gridding">Gridding</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#gps-gnss-data">GPS/GNSS data</a></li>
 </ul>
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-        <div class="col pl-md-3 pl-lg-5 content-container">
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-                <h1>Vector Data</h1>
-                <!-- Table of contents -->
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- <li class="toc-h2 nav-item toc-entry">
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-   Blocked reductions
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#trends">
-   Trends
-  </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#gridding">
-   Gridding
-  </a>
-  <ul class="nav section-nav flex-column">
-   <li class="toc-h3 nav-item toc-entry">
-    <a class="reference internal nav-link" href="#gps-gnss-data">
-     GPS/GNSS data
-    </a>
-   </li>
-  </ul>
- </li>
+</li>
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+    </div>
+</div>
 
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-                
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+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-vectors-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-vectors-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="vector-data">
-<span id="sphx-glr-tutorials-vectors-py"></span><h1>Vector Data<a class="headerlink" href="#vector-data" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-vectors-py"></span><h1>Vector Data<a class="headerlink" href="#vector-data" title="Link to this heading">#</a></h1>
 <p>Some datasets have multiple vector components measured for each location, like
 the East and West components of wind speed or GPS velocities. For example,
 let’s look at our sample GPS velocity data from the U.S. West coast.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
 
@@ -893,7 +524,7 @@ <h2> Contents </h2>
 <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">=</span> <span class="mi">12</span> <span class="o">/</span> <span class="mi">60</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.quiver" title="cartopy.mpl.geoaxes.GeoAxes.quiver" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiver</span></a><span class="p">(</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-property"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span>
@@ -906,7 +537,7 @@ <h2> Contents </h2>
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.quiverkey.html#matplotlib.axes.Axes.quiverkey" title="matplotlib.axes.Axes.quiverkey" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiverkey</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;0.05 m/yr&quot;</span><span class="p">,</span> <span class="n">coordinates</span><span class="o">=</span><span class="s2">&quot;figure&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;GPS horizontal velocities&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
@@ -918,13 +549,13 @@ <h2> Contents </h2>
 <strong>the order of components must be</strong> <code class="docutils literal notranslate"><span class="pre">(east_component,</span> <span class="pre">north_component,</span>
 <span class="pre">up_component)</span></code>.</p>
 <section id="blocked-reductions">
-<h2>Blocked reductions<a class="headerlink" href="#blocked-reductions" title="Permalink to this headline">#</a></h2>
+<h2>Blocked reductions<a class="headerlink" href="#blocked-reductions" title="Link to this heading">#</a></h2>
 <p>Operations with <a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockReduce</span></code></a> and <a class="reference internal" href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.BlockMean</span></code></a> can
 handle multi-component data automatically. The reduction operation is applied
 to each data component separately. The blocked data and weights will be
 returned in tuples as well following the same ordering as the inputs. This
 will work for an arbitrary number of components.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Use a blocked mean with uncertainty type weights</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Use a blocked mean with uncertainty type weights</span>
 <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">reducer</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span> <span class="n">uncertainty</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_coords</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_data</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_weights</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean.filter" title="verde.BlockMean.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">reducer</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
     <span class="n">coordinates</span><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span>
@@ -934,16 +565,19 @@ <h2>Blocked reductions<a class="headerlink" href="#blocked-reductions" title="Pe
 <span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_data</span></a><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_weights</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2 2
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+2 2
 </pre></div>
 </div>
 <p>We can convert the blocked coordinates back to longitude and latitude to plot
 with Cartopy.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_lon</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_lat</span></a> <span class="o">=</span> <span class="n">projection</span><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_coords</span></a><span class="p">,</span> <span class="n">inverse</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_lon</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_lat</span></a> <span class="o">=</span> <span class="n">projection</span><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_coords</span></a><span class="p">,</span> <span class="n">inverse</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.quiver" title="cartopy.mpl.geoaxes.GeoAxes.quiver" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiver</span></a><span class="p">(</span>
     <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">block_lon</span></a><span class="p">,</span>
@@ -956,13 +590,13 @@ <h2>Blocked reductions<a class="headerlink" href="#blocked-reductions" title="Pe
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.quiverkey.html#matplotlib.axes.Axes.quiverkey" title="matplotlib.axes.Axes.quiverkey" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiverkey</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;0.05 m/yr&quot;</span><span class="p">,</span> <span class="n">coordinates</span><span class="o">=</span><span class="s2">&quot;figure&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Block mean velocities&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_vectors_002.png" srcset="../_images/sphx_glr_vectors_002.png" alt="Block mean velocities" class = "sphx-glr-single-img"/></section>
 <section id="trends">
-<h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline">#</a></h2>
+<h2>Trends<a class="headerlink" href="#trends" title="Link to this heading">#</a></h2>
 <p>Trends can’t handle vector data automatically, so you can’t pass
 <code class="docutils literal notranslate"><span class="pre">data=(data.velocity_east,</span> <span class="pre">data.velocity_north)</span></code> to
 <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend.fit" title="verde.Trend.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Trend.fit</span></code></a>. To get around that, you can use the
@@ -973,38 +607,448 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
 fitting each estimator/gridder given to a different component of the data.</p>
 <p>For example, to fit a trend to our GPS velocities, we need to make a
 2-component vector trend:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Vector</span></a><span class="p">([</span><a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">4</span><span class="p">),</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">1</span><span class="p">)])</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span></a> <span class="o">=</span> <a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Vector</span></a><span class="p">([</span><a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">4</span><span class="p">),</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">1</span><span class="p">)])</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Vector(components=[Trend(degree=4), Trend(degree=1)])
 </pre></div>
 </div>
 <p>We can use the <code class="docutils literal notranslate"><span class="pre">trend</span></code> as if it were a regular <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a> but
 passing in 2-component data to fit. This will fit each data component to a
 different <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Vector.html#verde.Vector.fit" title="verde.Vector.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Vector.html#verde.Vector.fit" title="verde.Vector.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span>
     <span class="n">coordinates</span><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a><span class="o">=</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_east</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_north</span></a><span class="p">),</span>
     <span class="n">weights</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">std_east</span></a><span class="o">**</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span> <span class="o">/</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">std_north</span></a><span class="o">**</span><span class="mi">2</span><span class="p">),</span>
 <span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/least_squares.py:68: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  regr.fit(jacobian, data.ravel(), sample_weight=weights)
+</pre></div>
+</div>
 <div class="output_subarea output_html rendered_html output_result">
-<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">Vector</label><div class="sk-toggleable__content"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre></div></div></div></div></div>
+<style>#sk-container-id-4 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-4 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-4 pre {
+  padding: 0;
+}
+
+#sk-container-id-4 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-4 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-4 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-4 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-4 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-4 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-4 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-4 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-4 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-4 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-4 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-4 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-4 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-4 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-4 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-4 div.sk-label label.sk-toggleable__label,
+#sk-container-id-4 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-4 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-4 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-4 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-4 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-4 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-4 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-4 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-4 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Vector<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Vector(components=[Trend(degree=4), Trend(degree=1)])</pre></div> </div></div></div></div>
 </div>
 <br />
 <br /><p>Each estimator can be accessed through the <code class="docutils literal notranslate"><span class="pre">components</span></code> attribute:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span><span class="o">.</span><span class="n">components</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span><span class="o">.</span><span class="n">components</span></a><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;East trend coefficients:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span><span class="o">.</span><span class="n">components</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">coef_</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;North trend coefficients:&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">trend</span><span class="o">.</span><span class="n">components</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">coef_</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Trend(degree=4), Trend(degree=1)]
 East trend coefficients: [-3.31743842e+03 -1.61368024e-03 -1.08568612e-03 -2.77735425e-10
- -2.99424188e-10  7.38718817e-12 -2.03916793e-17 -2.68710016e-17
+ -2.99424188e-10  7.38718818e-12 -2.03916793e-17 -2.68710016e-17
   3.36222190e-18  2.00921241e-18 -5.43959103e-25 -7.79030546e-25
   2.71546631e-25  2.44086928e-25  5.03611061e-26]
 North trend coefficients: [-3.35415183e-01 -4.50275691e-08 -3.75590521e-08]
@@ -1013,11 +1057,11 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
 <p>When we call <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector.predict" title="verde.Vector.predict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Vector.predict</span></code></a> or <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector.grid" title="verde.Vector.grid"><code class="xref py py-meth docutils literal notranslate"><span class="pre">verde.Vector.grid</span></code></a>, we’ll
 get back predictions for two components instead of just one. Each prediction
 comes from a different <a class="reference internal" href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Trend</span></code></a>.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_east</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_north</span></a> <span class="o">=</span> <a href="../api/generated/verde.Vector.html#verde.Vector.predict" title="verde.Vector.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_east</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_north</span></a> <span class="o">=</span> <a href="../api/generated/verde.Vector.html#verde.Vector.predict" title="verde.Vector.predict" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">predict</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">)</span>
 
 <span class="c1"># Make histograms of the residuals</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">()</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Trend residuals&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">hist</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_north</span></a> <span class="o">-</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_north</span></a><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="s2">&quot;auto&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;North&quot;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">hist</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_east</span></a> <span class="o">-</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pred_east</span></a><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="s2">&quot;auto&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;East&quot;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">)</span>
@@ -1029,7 +1073,7 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
 <img src="../_images/sphx_glr_vectors_003.png" srcset="../_images/sphx_glr_vectors_003.png" alt="Trend residuals" class = "sphx-glr-single-img"/><p>As expected, the residuals are higher for the North component because of the
 lower degree polynomial.</p>
 <p>Let’s make geographic grids of these trends.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a> <span class="o">=</span> <a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">))</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a> <span class="o">=</span> <a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">((</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">))</span>
 
 <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.Vector.html#verde.Vector.grid" title="verde.Vector.grid" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">trend</span><span class="o">.</span><span class="n">grid</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a><span class="p">,</span>
@@ -1040,7 +1084,6 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;xarray.Dataset&gt;
 Dimensions:          (latitude: 49, longitude: 47)
 Coordinates:
@@ -1053,21 +1096,21 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
     metadata:  Generated by Vector(components=[Trend(degree=4), Trend(degree=...
 </pre></div>
 </div>
-<p>By default, the names of the data components in the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2023.4.3.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>
+<p>By default, the names of the data components in the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="(in xarray v2024.1.2.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">xarray.Dataset</span></code></a>
 are <code class="docutils literal notranslate"><span class="pre">east_component</span></code> and <code class="docutils literal notranslate"><span class="pre">north_component</span></code>. This can be customized using
 the <code class="docutils literal notranslate"><span class="pre">data_names</span></code> argument.</p>
 <p>Now we can map the trends.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
     <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;East component trend&quot;</span><span class="p">,</span> <span class="s2">&quot;North component trend&quot;</span><span class="p">]</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a> <span class="o">=</span> <span class="p">[</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">east_component</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span><span class="o">.</span><span class="n">north_component</span></a><span class="p">]</span>
-<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">):</span>
+<span class="k">for</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">components</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">titles</span></a><span class="p">):</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">title</span></a><span class="p">)</span>
     <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.DataArray" title="xarray.core.dataarray.DataArray" class="sphx-glr-backref-module-xarray-core-dataarray sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">component</span></a><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+        <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
         <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
         <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
         <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;bwr&quot;</span><span class="p">,</span>
@@ -1075,15 +1118,14 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
         <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
         <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+    <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar" title="matplotlib.colorbar.Colorbar" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">cb</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/colorbar_api.html#matplotlib.colorbar.Colorbar.set_label" title="matplotlib.colorbar.Colorbar.set_label" class="sphx-glr-backref-module-matplotlib-colorbar sphx-glr-backref-type-py-method"><span class="n">cb</span><span class="o">.</span><span class="n">set_label</span></a><span class="p">(</span><span class="s2">&quot;meters/year&quot;</span><span class="p">)</span>
-    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ocean</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">land</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ocean</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
     <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.coastlines" title="cartopy.mpl.geoaxes.GeoAxes.coastlines" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span></a><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s2">&quot;white&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_vectors_004.png" srcset="../_images/sphx_glr_vectors_004.png" alt="East component trend, North component trend" class = "sphx-glr-single-img"/><p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
+<img src="../_images/sphx_glr_vectors_004.png" srcset="../_images/sphx_glr_vectors_004.png" alt="East component trend, North component trend" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
   vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
 /home/runner/work/verde/verde/doc/tutorials_src/vectors.py:197: UserWarning: All kwargs are being ignored. They are accepted to guarantee backward compatibility.
   vd.datasets.setup_california_gps_map(ax, land=None, ocean=None)
@@ -1091,14 +1133,14 @@ <h2>Trends<a class="headerlink" href="#trends" title="Permalink to this headline
 </div>
 </section>
 <section id="gridding">
-<h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this headline">#</a></h2>
+<h2>Gridding<a class="headerlink" href="#gridding" title="Link to this heading">#</a></h2>
 <p>You can use <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a> to create multi-component gridders out of
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a> the same way as we did for trends. In this case, each
 component is treated separately.</p>
 <p>We can start by splitting the data into training and testing sets (see
 <a class="reference internal" href="model_selection.html#model-selection"><span class="std std-ref">Model Selection</span></a>). Notice that <a class="reference internal" href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.train_test_split</span></code></a> work for
 multicomponent data automatically.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a> <span class="o">=</span> <a href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">train_test_split</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a> <span class="o">=</span> <a href="../api/generated/verde.train_test_split.html#verde.train_test_split" title="verde.train_test_split" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">train_test_split</span></a><span class="p">(</span>
     <span class="n">coordinates</span><span class="o">=</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a><span class="p">,</span>
     <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a><span class="o">=</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_east</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_north</span></a><span class="p">),</span>
     <span class="n">weights</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">std_east</span></a><span class="o">**</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span> <span class="o">/</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">std_north</span></a><span class="o">**</span><span class="mi">2</span><span class="p">),</span>
@@ -1106,13 +1148,19 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 <span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/model_selection.py:820: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  return tuple(i.ravel()[index] for i in arrays)
+</pre></div>
+</div>
 <p>Now we can make a 2-component spline. Since <a class="reference internal" href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Vector</span></code></a> implements
 <code class="docutils literal notranslate"><span class="pre">fit</span></code>, <code class="docutils literal notranslate"><span class="pre">predict</span></code>, and <code class="docutils literal notranslate"><span class="pre">filter</span></code>, we can use it in a <a class="reference internal" href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Chain</span></code></a>
 to build a pipeline.</p>
 <p>We need to use a bit of damping so that the weights can be taken into
 account. Splines without damping provide a perfect fit to the data and ignore
 the weights as a consequence.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
     <span class="p">[</span>
         <span class="p">(</span><span class="s2">&quot;mean&quot;</span><span class="p">,</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span> <span class="n">uncertainty</span><span class="o">=</span><span class="kc">True</span><span class="p">)),</span>
         <span class="p">(</span><span class="s2">&quot;trend&quot;</span><span class="p">,</span> <a href="../api/generated/verde.Vector.html#verde.Vector" title="verde.Vector" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Vector</span></a><span class="p">([</span><a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <a href="../api/generated/verde.Trend.html#verde.Trend" title="verde.Trend" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Trend</span></a><span class="p">(</span><span class="mi">1</span><span class="p">)])),</span>
@@ -1122,7 +1170,6 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">chain</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Chain(steps=[(&#39;mean&#39;, BlockMean(spacing=22200.0, uncertainty=True)),
              (&#39;trend&#39;, Vector(components=[Trend(degree=1), Trend(degree=1)])),
              (&#39;spline&#39;,
@@ -1138,7 +1185,7 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 </div>
 <p>Fitting the spline and gridding is exactly the same as what we’ve done
 before.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain.fit" title="verde.Chain.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain.fit" title="verde.Chain.fit" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">fit</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train</span></a><span class="p">)</span>
 
 <span class="c1"># Score on the test data</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.Chain.html#verde.Chain.score" title="verde.Chain.score" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">chain</span><span class="o">.</span><span class="n">score</span></a><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test</span></a><span class="p">))</span>
@@ -1152,24 +1199,23 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/verde/verde/doc/tutorials_src/vectors.py:252: FutureWarning: The default scoring will change from R² to negative root mean squared error (RMSE) in Verde 2.0.0. This may change model selection results slightly.
   print(chain.score(*test))
-0.9926765607374941
+0.9926763528286797
 &lt;xarray.Dataset&gt;
 Dimensions:          (latitude: 49, longitude: 47)
 Coordinates:
   * longitude        (longitude) float64 235.7 235.9 236.1 ... 244.6 244.8 245.0
   * latitude         (latitude) float64 32.29 32.49 32.69 ... 41.5 41.7 41.9
 Data variables:
-    east_component   (latitude, longitude) float64 -0.0466 ... -0.0006105
-    north_component  (latitude, longitude) float64 0.08795 ... -0.0005965
+    east_component   (latitude, longitude) float64 -0.0466 ... -0.0006166
+    north_component  (latitude, longitude) float64 0.08795 ... -0.0006054
 Attributes:
     metadata:  Generated by Chain(steps=[(&#39;mean&#39;, BlockMean(spacing=22200.0, ...
 </pre></div>
 </div>
 <p>Mask out the points too far from data and plot the gridded vectors.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.distance_mask.html#verde.distance_mask" title="verde.distance_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">distance_mask</span></a><span class="p">(</span>
     <span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span>
     <span class="n">maxdist</span><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mi">2</span> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span>
     <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">,</span>
@@ -1177,7 +1223,7 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 <span class="p">)</span>
 
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">axes</span></a><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.quiver" title="cartopy.mpl.geoaxes.GeoAxes.quiver" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiver</span></a><span class="p">(</span>
     <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.values.html#xarray.DataArray.values" title="xarray.DataArray.values" class="sphx-glr-backref-module-xarray sphx-glr-backref-type-py-property"><span class="n">grid</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span>
     <a href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.values.html#xarray.DataArray.values" title="xarray.DataArray.values" class="sphx-glr-backref-module-xarray sphx-glr-backref-type-py-property"><span class="n">grid</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span>
@@ -1189,24 +1235,24 @@ <h2>Gridding<a class="headerlink" href="#gridding" title="Permalink to this head
 <span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.quiverkey.html#matplotlib.axes.Axes.quiverkey" title="matplotlib.axes.Axes.quiverkey" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">quiverkey</span></a><span class="p">(</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.quiver.Quiver.html#matplotlib.quiver.Quiver" title="matplotlib.quiver.Quiver" class="sphx-glr-backref-module-matplotlib-quiver sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmp</span></a><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;0.05 m/yr&quot;</span><span class="p">,</span> <span class="n">coordinates</span><span class="o">=</span><span class="s2">&quot;figure&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Gridded velocities&quot;</span><span class="p">)</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_vectors_005.png" srcset="../_images/sphx_glr_vectors_005.png" alt="Gridded velocities" class = "sphx-glr-single-img"/><section id="gps-gnss-data">
-<h3>GPS/GNSS data<a class="headerlink" href="#gps-gnss-data" title="Permalink to this headline">#</a></h3>
+<h3>GPS/GNSS data<a class="headerlink" href="#gps-gnss-data" title="Link to this heading">#</a></h3>
 <p>For some types of vector data, like GPS/GNSS displacements, the vector
 components are coupled through elasticity. In these cases, elastic Green’s
 functions can be used to achieve better interpolation results. The
 <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html#verde.VectorSpline2D" title="verde.VectorSpline2D"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.VectorSpline2D</span></code></a> implements these Green’s functions.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.403 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-vectors-py">
-<div class="sphx-glr-download sphx-glr-download-python docutils container">
-<p><a class="reference download internal" download="" href="../_downloads/c156953e5af94c539aaf3d04db82f05f/vectors.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">vectors.py</span></code></a></p>
-</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.255 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-vectors-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/b7d98613d818dc23c6d8da31c85a1f49/vectors.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">vectors.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/c156953e5af94c539aaf3d04db82f05f/vectors.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">vectors.py</span></code></a></p>
+</div>
 </div>
 <p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
 </section>
@@ -1214,49 +1260,107 @@ <h3>GPS/GNSS data<a class="headerlink" href="#gps-gnss-data" title="Permalink to
 </section>
 
 
-              </div>
+                </article>
               
-            </main>
-            <footer class="footer-article noprint">
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-    <div class="footer-content row">
-        <footer class="col footer"><p>
+                </footer>
+              
+            </div>
+            
+            
+              
+                <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
+
+
+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#blocked-reductions">Blocked reductions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#trends">Trends</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#gridding">Gridding</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#gps-gnss-data">GPS/GNSS data</a></li>
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diff --git a/dev/tutorials/weights.html b/dev/tutorials/weights.html
index 7a58c9ee7..a3f914194 100644
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+++ b/dev/tutorials/weights.html
@@ -2,52 +2,62 @@
 
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+    <script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/weights';</script>
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-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/blockreduce_weights_mean.html">
-     Using weights in blocked means
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/checkerboard.html">
-     Checkerboard function
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/convex_hull_mask.html">
-     Mask grid points by convex hull
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="model_selection.html">Model Selection</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="../api/index.html">
-   List of functions and classes (API)
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-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="../api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="../versions.html">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
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- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#weights-in-data-decimation">
-   Weights in data decimation
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-   <li class="toc-h3 nav-item toc-entry">
-    <a class="reference internal nav-link" href="#option-1-no-input-weights">
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-    <a class="reference internal nav-link" href="#option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data">
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-    <a class="reference internal nav-link" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared">
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-  <a class="reference internal nav-link" href="#interpolation-with-weights">
-   Interpolation with weights
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+<div id="jb-print-docs-body" class="onlyprint">
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+    <!-- Table of contents -->
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-1-no-input-weights">Option 1: No input weights</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data">Option 2: Input weights are not related to the uncertainty of the data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared">Option 3: Input weights are 1 over the data uncertainty squared</a></li>
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-                <h1>Using Weights</h1>
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-    <a class="reference internal nav-link" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared">
-     Option 3: Input weights are 1 over the data uncertainty squared
-    </a>
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- <li class="toc-h2 nav-item toc-entry">
-  <a class="reference internal nav-link" href="#interpolation-with-weights">
-   Interpolation with weights
-  </a>
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+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interpolation-with-weights">Interpolation with weights</a></li>
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+                <article class="bd-article">
+                  
   <div class="sphx-glr-download-link-note admonition note">
 <p class="admonition-title">Note</p>
-<p>Click <a class="reference internal" href="#sphx-glr-download-tutorials-weights-py"><span class="std std-ref">here</span></a>
+<p><a class="reference internal" href="#sphx-glr-download-tutorials-weights-py"><span class="std std-ref">Go to the end</span></a>
 to download the full example code</p>
 </div>
 <section class="sphx-glr-example-title" id="using-weights">
-<span id="sphx-glr-tutorials-weights-py"></span><h1>Using Weights<a class="headerlink" href="#using-weights" title="Permalink to this headline">#</a></h1>
+<span id="sphx-glr-tutorials-weights-py"></span><h1>Using Weights<a class="headerlink" href="#using-weights" title="Link to this heading">#</a></h1>
 <p>One of the advantages of using a Green’s functions approach to interpolation is
 that we can easily weight the data to give each point more or less influence
 over the results. This is a good way to not let data points with large
 uncertainties bias the interpolation or the data decimation.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pyproj</span>
@@ -904,11 +526,10 @@ <h2> Contents </h2>
 <p>We’ll use some sample GPS vertical ground velocity which has some variable
 uncertainties associated with each data point. The data are loaded as a
 pandas.DataFrame:</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_california_gps.html#verde.datasets.fetch_california_gps" title="verde.datasets.fetch_california_gps" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_california_gps</span></a><span class="p">()</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a> <span class="o">=</span> <a href="../api/generated/verde.datasets.fetch_california_gps.html#verde.datasets.fetch_california_gps" title="verde.datasets.fetch_california_gps" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">fetch_california_gps</span></a><span class="p">()</span>
 <span class="nb">print</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head" title="pandas.DataFrame.head" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">head</span></a><span class="p">())</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>    latitude   longitude     height  ...  std_north  std_east   std_up
 0  34.116409  242.906804  762.11978  ...     0.0002   0.00037  0.00053
 1  34.116409  242.906804  762.10883  ...     0.0002   0.00037  0.00053
@@ -922,13 +543,13 @@ <h2> Contents </h2>
 <p>Let’s plot our data using Cartopy to see what the vertical velocities and
 their uncertainties look like. We’ll make a function for this so we can reuse
 it later on.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_data</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a><span class="p">,</span> <span class="n">title_data</span><span class="p">,</span> <span class="n">title_weights</span><span class="p">):</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_data</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a><span class="p">,</span> <span class="n">title_data</span><span class="p">,</span> <span class="n">title_weights</span><span class="p">):</span>
     <span class="s2">&quot;Make two maps of our data, one with the data and one with the weights&quot;</span>
     <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
         <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
     <span class="p">)</span>
     <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="n">title_data</span><span class="p">)</span>
     <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">)</span>
     <span class="n">pc</span> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
@@ -940,15 +561,15 @@ <h2> Contents </h2>
         <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
         <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
-    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="n">title_weights</span><span class="p">)</span>
     <span class="n">pc</span> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.scatter" title="cartopy.mpl.geoaxes.GeoAxes.scatter" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span>
         <span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <span class="n">c</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;magma&quot;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.LogNorm.html#matplotlib.colors.LogNorm" title="matplotlib.colors.LogNorm" class="sphx-glr-backref-module-matplotlib-colors sphx-glr-backref-type-py-class"><span class="n">LogNorm</span></a><span class="p">()</span>
     <span class="p">)</span>
-    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
-    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+    <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
+    <a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
     <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 
 
@@ -963,7 +584,7 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_weights_001.png" srcset="../_images/sphx_glr_weights_001.png" alt="Vertical GPS velocity, Uncertainty (m/yr)" class = "sphx-glr-single-img"/><section id="weights-in-data-decimation">
-<h2>Weights in data decimation<a class="headerlink" href="#weights-in-data-decimation" title="Permalink to this headline">#</a></h2>
+<h2>Weights in data decimation<a class="headerlink" href="#weights-in-data-decimation" title="Link to this heading">#</a></h2>
 <p><a class="reference internal" href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce"><code class="xref py py-class docutils literal notranslate"><span class="pre">BlockReduce</span></code></a> can’t output weights for each data point because
 it doesn’t know which reduction operation it’s using. If you want to do a
 weighted interpolation, like <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">verde.Spline</span></code></a>,
@@ -973,16 +594,15 @@ <h2>Weights in data decimation<a class="headerlink" href="#weights-in-data-decim
 can calculate different kinds of weights, depending on configuration options
 and what you give it as input.</p>
 <p>Let’s explore all of the possibilities.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mean</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><span class="mi">15</span> <span class="o">/</span> <span class="mi">60</span><span class="p">)</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mean</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><span class="mi">15</span> <span class="o">/</span> <span class="mi">60</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mean</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-script-out">Out:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>BlockMean(spacing=0.25)
 </pre></div>
 </div>
 <section id="option-1-no-input-weights">
-<h3>Option 1: No input weights<a class="headerlink" href="#option-1-no-input-weights" title="Permalink to this headline">#</a></h3>
+<h3>Option 1: No input weights<a class="headerlink" href="#option-1-no-input-weights" title="Link to this heading">#</a></h3>
 <p>In this case, we’ll get a standard mean and the output weights will be 1 over
 the variance of the data in each block:</p>
 <div class="math notranslate nohighlight">
@@ -997,7 +617,7 @@ <h3>Option 1: No input weights<a class="headerlink" href="#option-1-no-input-wei
 <p>Notice that data points that are more uncertain don’t necessarily have
 smaller weights. Instead, the blocks that contain data with sharper
 variations end up having smaller weights, like the data points in the south.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean.filter" title="verde.BlockMean.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">mean</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean.filter" title="verde.BlockMean.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">mean</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="o">=</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">),</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_up</span></a>
 <span class="p">)</span>
 
@@ -1010,9 +630,17 @@ <h3>Option 1: No input weights<a class="headerlink" href="#option-1-no-input-wei
 <span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_weights_002.png" srcset="../_images/sphx_glr_weights_002.png" alt="Mean vertical GPS velocity, Weights based on data variance" class = "sphx-glr-single-img"/></section>
+<img src="../_images/sphx_glr_weights_002.png" srcset="../_images/sphx_glr_weights_002.png" alt="Mean vertical GPS velocity, Weights based on data variance" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:471: FutureWarning: The provided callable &lt;function var at 0x7f7a63579300&gt; is currently using SeriesGroupBy.var. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;var&quot; instead.
+  blocked = table.groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+</pre></div>
+</div>
+</section>
 <section id="option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data">
-<h3>Option 2: Input weights are not related to the uncertainty of the data<a class="headerlink" href="#option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data" title="Permalink to this headline">#</a></h3>
+<h3>Option 2: Input weights are not related to the uncertainty of the data<a class="headerlink" href="#option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data" title="Link to this heading">#</a></h3>
 <p>This is the case when data weights are chosen by the user, not based on the
 measurement uncertainty. For example, when you need to give less importance
 to a portion of the data and no uncertainties are available. The mean will be
@@ -1029,7 +657,7 @@ <h3>Option 2: Input weights are not related to the uncertainty of the data<a cla
 <p>The output will be similar to the one above but points with larger initial
 weights will have a smaller influence on the mean and also on the output
 weights.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># We&#39;ll use 1 over the squared data uncertainty as our input weights.</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># We&#39;ll use 1 over the squared data uncertainty as our input weights.</span>
 <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="pandas.core.frame.DataFrame" class="sphx-glr-backref-module-pandas-core-frame sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span></a><span class="p">[</span><span class="s2">&quot;weights&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">/</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">std_up</span></a><span class="o">**</span><span class="mi">2</span>
 
 <span class="c1"># By default, BlockMean assumes that weights are not related to uncertainties</span>
@@ -1048,9 +676,17 @@ <h3>Option 2: Input weights are not related to the uncertainty of the data<a cla
 <span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_weights_003.png" srcset="../_images/sphx_glr_weights_003.png" alt="Weighted mean vertical GPS velocity, Weights based on weighted data variance" class = "sphx-glr-single-img"/></section>
+<img src="../_images/sphx_glr_weights_003.png" srcset="../_images/sphx_glr_weights_003.png" alt="Weighted mean vertical GPS velocity, Weights based on weighted data variance" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+</pre></div>
+</div>
+</section>
 <section id="option-3-input-weights-are-1-over-the-data-uncertainty-squared">
-<h3>Option 3: Input weights are 1 over the data uncertainty squared<a class="headerlink" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared" title="Permalink to this headline">#</a></h3>
+<h3>Option 3: Input weights are 1 over the data uncertainty squared<a class="headerlink" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared" title="Link to this heading">#</a></h3>
 <p>If input weights are 1 over the data uncertainty squared, we can use
 uncertainty propagation to calculate the uncertainty of the weighted mean and
 use it to define our output weights. Use option <code class="docutils literal notranslate"><span class="pre">uncertainty=True</span></code> to tell
@@ -1070,7 +706,7 @@ <h3>Option 3: Input weights are 1 over the data uncertainty squared<a class="hea
 <p>Notice that in this case the output weights reflect the input data
 uncertainties. Less weight is given to the data points that had larger
 uncertainties from the start.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Configure BlockMean to assume that the input weights are 1/uncertainty**2</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Configure BlockMean to assume that the input weights are 1/uncertainty**2</span>
 <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">mean</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><span class="mi">15</span> <span class="o">/</span> <span class="mi">60</span><span class="p">,</span> <span class="n">uncertainty</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">weights</span></a> <span class="o">=</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean.filter" title="verde.BlockMean.filter" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-method"><span class="n">mean</span><span class="o">.</span><span class="n">filter</span></a><span class="p">(</span>
@@ -1088,7 +724,15 @@ <h3>Option 3: Input weights are 1 over the data uncertainty squared<a class="hea
 <span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_weights_004.png" srcset="../_images/sphx_glr_weights_004.png" alt="Weighted mean vertical GPS velocity, Weights based on data uncertainty" class = "sphx-glr-single-img"/><div class="admonition note">
+<img src="../_images/sphx_glr_weights_004.png" srcset="../_images/sphx_glr_weights_004.png" alt="Weighted mean vertical GPS velocity, Weights based on data uncertainty" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:231: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  &quot;coordinate{}&quot;.format(i): coord.ravel()
+</pre></div>
+</div>
+<div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>Output weights are always normalized to the ]0, 1] range. See
 <a class="reference internal" href="../api/generated/verde.variance_to_weights.html#verde.variance_to_weights" title="verde.variance_to_weights"><code class="xref py py-func docutils literal notranslate"><span class="pre">verde.variance_to_weights</span></code></a>.</p>
@@ -1096,7 +740,7 @@ <h3>Option 3: Input weights are 1 over the data uncertainty squared<a class="hea
 </section>
 </section>
 <section id="interpolation-with-weights">
-<h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-weights" title="Permalink to this headline">#</a></h2>
+<h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-weights" title="Link to this heading">#</a></h2>
 <p>The Green’s functions based interpolation classes in Verde, like
 <a class="reference internal" href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline"><code class="xref py py-class docutils literal notranslate"><span class="pre">Spline</span></code></a>, can take input weights if you want to give less
 importance to some data points. In our case, the points with larger
@@ -1104,7 +748,7 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
 the points with lower uncertainties.</p>
 <p>Let’s setup a projection to grid our geographic data using the Cartesian
 spline gridder.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">projection</span> <span class="o">=</span> <span class="n">pyproj</span><span class="o">.</span><span class="n">Proj</span><span class="p">(</span><span class="n">proj</span><span class="o">=</span><span class="s2">&quot;merc&quot;</span><span class="p">,</span> <span class="n">lat_ts</span><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.mean.html#pandas.Series.mean" title="pandas.Series.mean" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">mean</span></a><span class="p">())</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">projection</span> <span class="o">=</span> <span class="n">pyproj</span><span class="o">.</span><span class="n">Proj</span><span class="p">(</span><span class="n">proj</span><span class="o">=</span><span class="s2">&quot;merc&quot;</span><span class="p">,</span> <span class="n">lat_ts</span><span class="o">=</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.mean.html#pandas.Series.mean" title="pandas.Series.mean" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-method"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">mean</span></a><span class="p">())</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">proj_coords</span></a> <span class="o">=</span> <span class="n">projection</span><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-property"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values" class="sphx-glr-backref-module-pandas sphx-glr-backref-type-py-property"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span></a><span class="p">)</span>
 
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">region</span></a> <span class="o">=</span> <a href="../api/generated/verde.get_region.html#verde.get_region" title="verde.get_region" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">get_region</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">)</span>
@@ -1116,7 +760,7 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
 <p>Note that the weighted spline solution will only work on a non-exact
 interpolation. So we’ll need to use some damping regularization or not use
 the data locations for the point forces. Here, we’ll apply a bit of damping.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
     <span class="p">[</span>
         <span class="c1"># Convert the spacing to meters because Spline is a Cartesian gridder</span>
         <span class="p">(</span><span class="s2">&quot;mean&quot;</span><span class="p">,</span> <a href="../api/generated/verde.BlockMean.html#verde.BlockMean" title="verde.BlockMean" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockMean</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">,</span> <span class="n">uncertainty</span><span class="o">=</span><span class="kc">True</span><span class="p">)),</span>
@@ -1134,8 +778,14 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
 <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a> <span class="o">=</span> <a href="../api/generated/verde.convexhull_mask.html#verde.convexhull_mask" title="verde.convexhull_mask" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">convexhull_mask</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">coordinates</span></a><span class="p">,</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">=</span><a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/base/utils.py:254: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  weights = tuple(i.ravel() for i in weights)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:417: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+</pre></div>
+</div>
 <p>Calculate an unweighted spline as well for comparison.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline_unweighted</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spline_unweighted</span></a> <span class="o">=</span> <a href="../api/generated/verde.Chain.html#verde.Chain" title="verde.Chain" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Chain</span></a><span class="p">(</span>
     <span class="p">[</span>
         <span class="p">(</span><span class="s2">&quot;mean&quot;</span><span class="p">,</span> <a href="../api/generated/verde.BlockReduce.html#verde.BlockReduce" title="verde.BlockReduce" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">BlockReduce</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.mean.html#numpy.mean" title="numpy.mean" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">mean</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a><span class="o">=</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spacing</span></a> <span class="o">*</span> <span class="mf">111e3</span><span class="p">)),</span>
         <span class="p">(</span><span class="s2">&quot;spline&quot;</span><span class="p">,</span> <a href="../api/generated/verde.Spline.html#verde.Spline" title="verde.Spline" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-class"><span class="n">vd</span><span class="o">.</span><span class="n">Spline</span></a><span class="p">()),</span>
@@ -1153,16 +803,24 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
 <span class="p">)</span>
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:177: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary.  Use `to_numpy()` for conversion to a numpy array instead.
+  columns = {&quot;data{}&quot;.format(i): comp.ravel() for i, comp in enumerate(data)}
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:179: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  blocked = pd.DataFrame(columns).groupby(&quot;block&quot;).aggregate(reduction)
+/usr/share/miniconda/envs/test/lib/python3.11/site-packages/verde/blockreduce.py:236: FutureWarning: The provided callable &lt;function mean at 0x7f7a63579080&gt; is currently using DataFrameGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string &quot;mean&quot; instead.
+  grouped = table.groupby(&quot;block&quot;).aggregate(self.reduction)
+</pre></div>
+</div>
 <p>Finally, plot the weighted and unweighted grids side by side.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a> <span class="o">=</span> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span>
     <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.Mercator" title="cartopy.crs.Mercator" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">Mercator</span></a><span class="p">())</span>
 <span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a> <span class="o">=</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class"><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span></a><span class="p">()</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Spline interpolation with weights&quot;</span><span class="p">)</span>
 <a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a> <span class="o">=</span> <a href="../api/generated/verde.maxabs.html#verde.maxabs" title="verde.maxabs" class="sphx-glr-backref-module-verde sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">maxabs</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">velocity_up</span></a><span class="p">)</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid</span></a><span class="o">.</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;seismic&quot;</span><span class="p">,</span>
     <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
     <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
@@ -1170,14 +828,14 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
     <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.coastlines" title="cartopy.mpl.geoaxes.GeoAxes.coastlines" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span></a><span class="p">()</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
-<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">axes</span></a><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s2">&quot;Spline interpolation without weights&quot;</span><span class="p">)</span>
 <span class="n">pc</span> <span class="o">=</span> <a href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html#xarray.Dataset" title="xarray.core.dataset.Dataset" class="sphx-glr-backref-module-xarray-core-dataset sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">grid_unweighted</span></a><span class="o">.</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">velocity</span></a><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span>
-    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
+    <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span>
     <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;seismic&quot;</span><span class="p">,</span>
     <span class="n">vmin</span><span class="o">=-</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
     <span class="n">vmax</span><span class="o">=</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">maxabs</span></a><span class="p">,</span>
@@ -1185,70 +843,129 @@ <h2>Interpolation with weights<a class="headerlink" href="#interpolation-with-we
     <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
     <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
 <span class="p">)</span>
-<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
+<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span></a><span class="p">(</span><span class="n">pc</span><span class="p">,</span> <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s2">&quot;horizontal&quot;</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;m/yr&quot;</span><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">longitude</span></a><span class="p">,</span> <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series" title="pandas.core.series.Series" class="sphx-glr-backref-module-pandas-core-series sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">data</span><span class="o">.</span><span class="n">latitude</span></a><span class="p">,</span> <span class="s2">&quot;.k&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree" title="cartopy.crs.PlateCarree" class="sphx-glr-backref-module-cartopy-crs sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">crs</span></a><span class="p">)</span>
 <a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.coastlines" title="cartopy.mpl.geoaxes.GeoAxes.coastlines" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-method"><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span></a><span class="p">()</span>
-<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxesSubplot.html#cartopy.mpl.geoaxes.GeoAxesSubplot" title="cartopy.mpl.geoaxes.GeoAxesSubplot" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
+<a href="../api/generated/verde.datasets.setup_california_gps_map.html#verde.datasets.setup_california_gps_map" title="verde.datasets.setup_california_gps_map" class="sphx-glr-backref-module-verde-datasets sphx-glr-backref-type-py-function"><span class="n">vd</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">setup_california_gps_map</span></a><span class="p">(</span><a href="https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes" title="cartopy.mpl.geoaxes.GeoAxes" class="sphx-glr-backref-module-cartopy-mpl-geoaxes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="p">)</span>
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_weights_005.png" srcset="../_images/sphx_glr_weights_005.png" alt="Spline interpolation with weights, Spline interpolation without weights" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.758 seconds)</p>
-<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-weights-py">
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-<p><a class="reference download internal" download="" href="../_downloads/7b3b0274656e7f482f545c777c23411c/weights.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">weights.py</span></code></a></p>
-</div>
+<img src="../_images/sphx_glr_weights_005.png" srcset="../_images/sphx_glr_weights_005.png" alt="Spline interpolation with weights, Spline interpolation without weights" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.482 seconds)</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-weights-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/b23a5b5441b74fcab6bae36fdc19ae7b/weights.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">weights.ipynb</span></code></a></p>
 </div>
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/7b3b0274656e7f482f545c777c23411c/weights.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">weights.py</span></code></a></p>
+</div>
 </div>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#weights-in-data-decimation">Weights in data decimation</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-1-no-input-weights">Option 1: No input weights</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-2-input-weights-are-not-related-to-the-uncertainty-of-the-data">Option 2: Input weights are not related to the uncertainty of the data</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-3-input-weights-are-1-over-the-data-uncertainty-squared">Option 3: Input weights are 1 over the data uncertainty squared</a></li>
+</ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interpolation-with-weights">Interpolation with weights</a></li>
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diff --git a/dev/versions.html b/dev/versions.html
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-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/cubic_gridder.html">
-     Gridding with a cubic interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/distance_mask.html">
-     Mask grid points by distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/kneighbors_gridder.html">
-     Gridding with a nearest-neighbors interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/linear_gridder.html">
-     Gridding with a linear interpolator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/project_grid.html">
-     Projection of gridded data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline.html">
-     Gridding with splines
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_cv.html">
-     Gridding with splines (cross-validated)
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/spline_weights.html">
-     Gridding with splines and weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/train_test_split.html">
-     Splitting data into train and test sets
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/trend.html">
-     Polynomial trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_trend.html">
-     Trends in vector data
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="gallery/vector_uncoupled.html">
-     Gridding 2D vectors
-    </a>
-   </li>
-  </ul>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/overview.html">Overview</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Installing</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="gallery/index.html">Gallery</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockkfold.html">K-Fold cross-validation with blocks</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce.html">Blocked reduction operations</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights.html">Using weights in blocked reduction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/blockreduce_weights_mean.html">Using weights in blocked means</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/checkerboard.html">Checkerboard function</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/convex_hull_mask.html">Mask grid points by convex hull</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/cubic_gridder.html">Gridding with a cubic interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/distance_mask.html">Mask grid points by distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/kneighbors_gridder.html">Gridding with a nearest-neighbors interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/linear_gridder.html">Gridding with a linear interpolator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/project_grid.html">Projection of gridded data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline.html">Gridding with splines</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_cv.html">Gridding with splines (cross-validated)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/spline_weights.html">Gridding with splines and weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/train_test_split.html">Splitting data into train and test sets</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/trend.html">Polynomial trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_trend.html">Trends in vector data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="gallery/vector_uncoupled.html">Gridding 2D vectors</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  User Guide
- </span>
-</p>
+</li>
+</ul>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">User Guide</span></p>
 <ul class="nav bd-sidenav">
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/grid_coordinates.html">
-   Grid Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/trends.html">
-   Trend Estimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/decimation.html">
-   Data Decimation
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/projections.html">
-   Geographic Coordinates
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/chain.html">
-   Chaining Operations
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_evaluation.html">
-   Evaluating Performance
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/model_selection.html">
-   Model Selection
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/weights.html">
-   Using Weights
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="tutorials/vectors.html">
-   Vector Data
-  </a>
- </li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/grid_coordinates.html">Grid Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/trends.html">Trend Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/decimation.html">Data Decimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/projections.html">Geographic Coordinates</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/chain.html">Chaining Operations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_evaluation.html">Evaluating Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/model_selection.html">Model Selection</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/weights.html">Using Weights</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorials/vectors.html">Vector Data</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
-  Reference documentation
- </span>
-</p>
+<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference documentation</span></p>
 <ul class="current nav bd-sidenav">
- <li class="toctree-l1 has-children">
-  <a class="reference internal" href="api/index.html">
-   List of functions and classes (API)
-  </a>
-  <input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/>
-  <label for="toctree-checkbox-2">
-   <i class="fas fa-chevron-down">
-   </i>
-  </label>
-  <ul>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Spline.html">
-     verde.Spline
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.SplineCV.html">
-     verde.SplineCV
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.KNeighbors.html">
-     verde.KNeighbors
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Linear.html">
-     verde.Linear
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Cubic.html">
-     verde.Cubic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.VectorSpline2D.html">
-     verde.VectorSpline2D
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockReduce.html">
-     verde.BlockReduce
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockMean.html">
-     verde.BlockMean
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Trend.html">
-     verde.Trend
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Chain.html">
-     verde.Chain
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.Vector.html">
-     verde.Vector
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.train_test_split.html">
-     verde.train_test_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.cross_val_score.html">
-     verde.cross_val_score
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">
-     verde.BlockShuffleSplit
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.BlockKFold.html">
-     verde.BlockKFold
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.line_coordinates.html">
-     verde.line_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_coordinates.html">
-     verde.grid_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.scatter_points.html">
-     verde.scatter_points
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.profile_coordinates.html">
-     verde.profile_coordinates
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.get_region.html">
-     verde.get_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.pad_region.html">
-     verde.pad_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.inside.html">
-     verde.inside
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.block_split.html">
-     verde.block_split
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.rolling_window.html">
-     verde.rolling_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.expanding_window.html">
-     verde.expanding_window
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_region.html">
-     verde.project_region
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.project_grid.html">
-     verde.project_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.distance_mask.html">
-     verde.distance_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.convexhull_mask.html">
-     verde.convexhull_mask
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.maxabs.html">
-     verde.maxabs
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.variance_to_weights.html">
-     verde.variance_to_weights
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.grid_to_table.html">
-     verde.grid_to_table
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.make_xarray_grid.html">
-     verde.make_xarray_grid
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.median_distance.html">
-     verde.median_distance
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.load_surfer.html">
-     verde.load_surfer
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">
-     verde.synthetic.CheckerBoard
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseGridder.html">
-     verde.base.BaseGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">
-     verde.base.BaseBlockCrossValidator
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">
-     verde.base.n_1d_arrays
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.check_fit_input.html">
-     verde.base.check_fit_input
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.base.least_squares.html">
-     verde.base.least_squares
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.ScipyGridder.html">
-     verde.ScipyGridder
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.locate.html">
-     verde.datasets.locate
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">
-     verde.datasets.fetch_baja_bathymetry
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">
-     verde.datasets.setup_baja_bathymetry_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">
-     verde.datasets.fetch_california_gps
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">
-     verde.datasets.setup_california_gps_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">
-     verde.datasets.fetch_texas_wind
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">
-     verde.datasets.setup_texas_wind_map
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">
-     verde.datasets.fetch_rio_magnetic
-    </a>
-   </li>
-   <li class="toctree-l2">
-    <a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">
-     verde.datasets.setup_rio_magnetic_map
-    </a>
-   </li>
-  </ul>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="citing.html">
-   Citing Verde
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="references.html">
-   References
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="changes.html">
-   Changelog
-  </a>
- </li>
- <li class="toctree-l1">
-  <a class="reference internal" href="compatibility.html">
-   Version compatibility
-  </a>
- </li>
- <li class="toctree-l1 current active">
-  <a class="current reference internal" href="#">
-   Documentation for other versions
-  </a>
- </li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="api/index.html">List of functions and classes (API)</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Spline.html">verde.Spline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.SplineCV.html">verde.SplineCV</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.KNeighbors.html">verde.KNeighbors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Linear.html">verde.Linear</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Cubic.html">verde.Cubic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.VectorSpline2D.html">verde.VectorSpline2D</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockReduce.html">verde.BlockReduce</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockMean.html">verde.BlockMean</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Trend.html">verde.Trend</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Chain.html">verde.Chain</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.Vector.html">verde.Vector</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.train_test_split.html">verde.train_test_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.cross_val_score.html">verde.cross_val_score</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockShuffleSplit.html">verde.BlockShuffleSplit</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.BlockKFold.html">verde.BlockKFold</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.line_coordinates.html">verde.line_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_coordinates.html">verde.grid_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.scatter_points.html">verde.scatter_points</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.profile_coordinates.html">verde.profile_coordinates</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.get_region.html">verde.get_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.pad_region.html">verde.pad_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.inside.html">verde.inside</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.block_split.html">verde.block_split</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.rolling_window.html">verde.rolling_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.expanding_window.html">verde.expanding_window</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_region.html">verde.project_region</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.project_grid.html">verde.project_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.distance_mask.html">verde.distance_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.convexhull_mask.html">verde.convexhull_mask</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.maxabs.html">verde.maxabs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.variance_to_weights.html">verde.variance_to_weights</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.grid_to_table.html">verde.grid_to_table</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.make_xarray_grid.html">verde.make_xarray_grid</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.median_distance.html">verde.median_distance</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.load_surfer.html">verde.load_surfer</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.synthetic.CheckerBoard.html">verde.synthetic.CheckerBoard</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseGridder.html">verde.base.BaseGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.BaseBlockCrossValidator.html">verde.base.BaseBlockCrossValidator</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.n_1d_arrays.html">verde.base.n_1d_arrays</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.check_fit_input.html">verde.base.check_fit_input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.base.least_squares.html">verde.base.least_squares</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.ScipyGridder.html">verde.ScipyGridder</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.locate.html">verde.datasets.locate</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_baja_bathymetry.html">verde.datasets.fetch_baja_bathymetry</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_baja_bathymetry_map.html">verde.datasets.setup_baja_bathymetry_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_california_gps.html">verde.datasets.fetch_california_gps</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_california_gps_map.html">verde.datasets.setup_california_gps_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_texas_wind.html">verde.datasets.fetch_texas_wind</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_texas_wind_map.html">verde.datasets.setup_texas_wind_map</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.fetch_rio_magnetic.html">verde.datasets.fetch_rio_magnetic</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/generated/verde.datasets.setup_rio_magnetic_map.html">verde.datasets.setup_rio_magnetic_map</a></li>
 </ul>
-<p aria-level="2" class="caption" role="heading">
- <span class="caption-text">
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+</li>
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+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Documentation for other versions</a></li>
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+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org/contact/">Join the community</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CONTRIBUTING.md">How to contribute</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde/blob/master/CODE_OF_CONDUCT.md">Code of Conduct</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/fatiando/verde">Source code on GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://www.fatiando.org">The Fatiando a Terra project</a></li>
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 >
   
 
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+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde/edit/main/doc/versions.rst" target="_blank"
+   class="btn btn-sm btn-source-edit-button dropdown-item"
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+<span class="btn__text-container">Suggest edit</span>
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+      
+      
+      
+      <li><a href="https://github.com/fatiando/verde/issues/new?title=Issue%20on%20page%20%2Fversions.html&body=Your%20issue%20content%20here." target="_blank"
+   class="btn btn-sm btn-source-issues-button dropdown-item"
+   title="Open an issue"
+   data-bs-placement="left" data-bs-toggle="tooltip"
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+<span class="btn__text-container">Open issue</span>
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+
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+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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-
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-<div class="col-md-3 bd-toc show noprint">
 </div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Documentation for other versions</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
     </div>
-    <div class="article row">
-        <div class="col pl-md-3 pl-lg-5 content-container">
-            <!-- Table of contents that is only displayed when printing the page -->
-            <div id="jb-print-docs-body" class="onlyprint">
-                <h1>Documentation for other versions</h1>
-                <!-- Table of contents -->
-                <div id="print-main-content">
-                    <div id="jb-print-toc">
-                        
-                    </div>
-                </div>
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-            <main id="main-content" role="main">
-                
-              <div>
+</div>
+
+              
                 
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
   <section id="documentation-for-other-versions">
-<h1>Documentation for other versions<a class="headerlink" href="#documentation-for-other-versions" title="Permalink to this headline">#</a></h1>
+<h1>Documentation for other versions<a class="headerlink" href="#documentation-for-other-versions" title="Link to this heading">#</a></h1>
 <p>Use the links below to access documentation for specific versions
 (when in doubt, use the <strong>latest release</strong>):</p>
 <ul class="simple">
@@ -818,42 +505,80 @@ <h1>Documentation for other versions<a class="headerlink" href="#documentation-f
 </section>
 
 
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