Pin dependencies to the latest version (#840)

* Pin dependencies to the latest version

* Remove matplotlib-inline

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Drop testing for python 3.8

* Relax the numpy version

* Skip ipyvtklink

* Skip more dependencies

* Add keplergl

* Loosen ipywidgets version

* Fix gpd error

* Add gradio

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.github/workflows/ubuntu.yml

@@ -13,7 +13,7 @@ jobs:
         strategy:
             fail-fast: false
             matrix:
-                python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
+                python-version: ["3.9", "3.10", "3.11", "3.12"]
 
         defaults:
             run:

docs/get-started.md

@@ -97,4 +97,4 @@ m
 
 ## Leafmap demo with ipyleaflet backend
 
-![](data/leafmap_demo.gif)
+![](https://assets.gishub.org/images/leafmap_demo.gif)

leafmap/common.py

@@ -13,6 +13,8 @@
 import folium
 import ipyleaflet
 import ipywidgets as widgets
+import numpy as np
+import pandas as pd
 import whitebox
 from typing import Union, List, Dict, Optional, Tuple
 from .stac import *
@@ -22,6 +24,11 @@
 except ImportError:
     pass
 
+try:
+    import geopandas as gpd
+except ImportError:
+    gpd = None
+
 
 class WhiteboxTools(whitebox.WhiteboxTools):
     """This class inherits the whitebox WhiteboxTools class."""
@@ -3673,7 +3680,7 @@ def dict_to_json(data, file_path, indent=4):
         raise TypeError("The provided data must be a dictionary.")
 
 
-def image_to_geotiff(image, dst_path, dtype=None, to_cog=True, **kwargs):
+def image_to_geotiff(image, dst_path, dtype=None, to_cog=True, **kwargs) -> None:
     """
     Converts an image to a GeoTIFF file.
 
@@ -11226,7 +11233,7 @@ def close_btn_click(change):
 
 def start_server(
     directory: str = None, port: int = 8000, background: bool = True, quiet: bool = True
-):
+) -> None:
     """
     Start a simple web server to serve files from the specified directory
     with directory listing and CORS support. Optionally, run the server
@@ -11442,20 +11449,14 @@ def mbtiles_to_pmtiles(
         Any exception raised by pmtiles.convert.mbtiles_to_pmtiles will be propagated up.
     """
 
-    try:
-        import pmtiles.convert as convert
-    except ImportError:
-        print(
-            "pmtiles is not installed. Please install it using `pip install pmtiles`."
-        )
-        return
+    import pmtiles.convert as convert
 
     convert.mbtiles_to_pmtiles(input_file, output_file, maxzoom=max_zoom)
 
 
 def vector_to_pmtiles(
     source_path: str, target_path: str, max_zoom: int = 5, name: str = None, **kwargs
-):
+) -> None:
     """
     Converts a vector file to PMTiles format.
 
@@ -12111,7 +12112,7 @@ def gdb_to_vector(
     overwrite: bool = False,
     quiet=False,
     **kwargs,
-):
+) -> None:
     """Converts layers from a File Geodatabase (GDB) to a vector format.
 
     Args:
@@ -12460,7 +12461,7 @@ def assign_continuous_colors(
     to_rgb: bool = True,
     return_type: str = "array",
     return_legend: bool = False,
-):
+) -> Union[np.ndarray, Tuple[np.ndarray, dict]]:
     """Assigns continuous colors to a DataFrame column based on a specified scheme.
 
     Args:
@@ -12508,7 +12509,7 @@ def gedi_search(
     output: Optional[str] = None,
     sort_filesize: bool = False,
     **kwargs,
-):
+) -> Union[pd.DataFrame, None]:
     """
     Searches for GEDI data using the Common Metadata Repository (CMR) API.
     The source code for this function is adapted from https://github.com/ornldaac/gedi_tutorials.
@@ -13162,7 +13163,7 @@ def nasa_data_login(strategy: str = "all", persist: bool = False, **kwargs) -> N
 
     Args:
         strategy (str, optional): The authentication method.
-               "all": (default) try all methods until one works
+                "all": (default) try all methods until one works
                 "interactive": enter username and password.
                 "netrc": retrieve username and password from ~/.netrc.
                 "environment": retrieve username and password from $EARTHDATA_USERNAME and $EARTHDATA_PASSWORD.
@@ -13399,7 +13400,7 @@ def convert_coordinates(x, y, source_crs, target_crs="epsg:4326"):
     return lon, lat
 
 
-def extract_archive(archive, outdir=None, **kwargs):
+def extract_archive(archive, outdir=None, **kwargs) -> None:
     """
     Extracts a multipart archive.
 

requirements.txt

@@ -1,21 +1,21 @@
-bqplot
-colour
-duckdb
-folium
-gdown
-geojson
-ipyevents
-ipyfilechooser
-ipyleaflet
-ipyvuetify
-ipywidgets
-matplotlib
-numpy<3.0.0
-pandas
-plotly
-pyshp
-pystac-client
-python-box
-scooby
-whiteboxgui
-xyzservices
+bqplot>=0.12.43
+colour>=0.1.5
+duckdb>=1.0.0
+folium>=0.17.0
+gdown>=5.2.0
+geojson>=3.1.0
+ipyevents>=2.0.2
+ipyfilechooser>=0.6.0
+ipyleaflet>=0.19.1
+ipyvuetify>=1.9.4
+ipywidgets>=7.6.0
+matplotlib>=3.9.1
+numpy>=1.26.4
+pandas>=2.2.2
+plotly>=5.22.0
+pyshp>=2.3.1
+pystac-client>=0.8.2
+python-box>=7.2.0
+scooby>=0.10.0
+whiteboxgui>=2.3.0
+xyzservices>=2024.6.0

requirements_dev.txt

@@ -3,17 +3,16 @@ black[jupyter]
 bokeh
 boto3
 cogeo-mosaic
-# datapane
 # earthaccess
 ffmpeg-python
 geopandas
 gradio
 h3
 h5py
-ipygany
-ipysheet
-ipyvtklink
-jupyter_bokeh
+# ipygany
+# ipysheet
+# ipyvtklink
+# jupyter_bokeh
 jupyterlab>=3.0.0
 keplergl
 laspy