DOC: Change all single quotes to double

doc/changelog.qmd

@@ -414,7 +414,7 @@ not exist, got no description. This release is fixes error.
 - You can now align the `plot_title` horizontally to the left or right.
 
   ```py
-  theme(plot_title=element_text(ha='left'))
+  theme(plot_title=element_text(ha="left"))
   ```
 
   Before, the title was always centered.
@@ -584,7 +584,7 @@ not exist, got no description. This release is fixes error.
 - Fixed issue where a plot has no data and the geoms have no data,
   but the mappings are valid. ({{< issue 404 >}})
 
-- Fixed `preserve='single'` in [](:class:`~plotnine.position_dodge`)
+- Fixed `preserve="single"` in [](:class:`~plotnine.position_dodge`)
   and [](:class:`~plotnine.position_dodge2`) to work for geoms that
   only have `x` aesthetic and not `xmin` and `xmax`
   e.g [](:class:`~plotnine.geom_text`).
@@ -631,7 +631,7 @@ not exist, got no description. This release is fixes error.
   scale.
 
 - Fixed [](:class:`~plotnine.geom_violin`) and other geoms when used
-  with `position='dodge'` not to crash when if a layer has an empty
+  with `position="dodge"` not to crash when if a layer has an empty
   group of data.
 
 - Fixed bug in [](:class:`~plotnine.geom_path`) for some cases when groups
@@ -640,7 +640,7 @@ not exist, got no description. This release is fixes error.
 - Fixed all stats that compute kernel density estimates to work when all
   the data points are the same. ({{< issue 317 >}})
 
-- Fixed issue where setting the group to a string value i.e. `group='string'`
+- Fixed issue where setting the group to a string value i.e. `group="string"`
   outside `aes()` failed due to an error.
 
 - Fixed issue where discrete position scales could not deal with fewer limits
@@ -910,7 +910,7 @@ not exist, got no description. This release is fixes error.
 - Fixed bug in discrete scales where a column could not be mapped
   to integer values. ({{< issue 108 >}})
 
-- Make it possible to hide the legend with `theme(legend_position='none')`.
+- Make it possible to hide the legend with `theme(legend_position="none")`.
   ({{< issue 119 >}})
 
 - Fixed issue in [](:class:`~plotnine.stat_summary_bin`) where some input
@@ -922,8 +922,8 @@ not exist, got no description. This release is fixes error.
 - Fixed `IndexError` in [](:class:`~plotnine.facet_grid`) when row/column
   variable has 1 unique value. ({{< issue 129 >}})
 
-- Fixed [](:class:`~plotnine.facet_grid`) when `scale='free'`,
-  `scale='free_x'` or `scale='free_y'`, the panels share axes
+- Fixed [](:class:`~plotnine.facet_grid`) when `scale="free"`,
+  `scale="free_x"` or `scale="free_y"`, the panels share axes
   along the row or column.
 
 - Fixed [](:class:`~plotnine.geom_boxplot`) so that user can create a boxplot
@@ -1071,7 +1071,7 @@ not exist, got no description. This release is fixes error.
 *(2017-06-22)*
 
 - Fixed bug where manually setting the aesthetic `fill=None` or
-  `fill='None'` could lead to a black fill instead of an empty
+  `fill="None"` could lead to a black fill instead of an empty
   fill.
 
 - Fixed bug where computed aesthetics could not be used in larger
@@ -1083,7 +1083,7 @@ not exist, got no description. This release is fixes error.
 - Fixed bug where `ggplot(data=df)`{.py} resulted in an exception.
 
 - Fixed missing axis ticks and labels for [](:class:`~plotnine.facet_wrap`)
-  when the scales are allowed to vary (e.g `scales='free'`) between
+  when the scales are allowed to vary (e.g `scales="free"`) between
   the panels.
 
 - Fixed bug in [](:class:`~plotnine.stat_density`) where changing the

plotnine/facets/facet.py

@@ -417,7 +417,7 @@ def make_figure(self) -> tuple[Figure, list[Axes]]:
             if not self.as_table:
                 axsarr = np.array([row[::-1] for row in axsarr])
         else:
-            raise ValueError(f"Bad value `dir='{self.dir}'` for direction")
+            raise ValueError(f'Bad value `dir="{self.dir}"` for direction')
 
         axs = axsarr.ravel(order)
 

plotnine/facets/layout.py

@@ -91,9 +91,9 @@ def train_position(self, layers: Layers, scales: Scales):
         Notes
         -----
         The number of x or y scales depends on the facetting,
-        particularly the scales parameter. e.g if `scales='free'`
+        particularly the scales parameter. e.g if `scales="free"`{.py}
         then each panel will have separate x and y scales, and
-        if `scales='fixed'` then all panels will share an x
+        if `scales="fixed"`{.py} then all panels will share an x
         scale and a y scale.
         """
         layout = self.layout

plotnine/geoms/annotate.py

@@ -56,7 +56,7 @@ class annotate:
 
     You should choose or ignore accordingly.
 
-    All `geoms` are created with `stat='identity'`{.py}.
+    All `geoms` are created with `stat="identity"`{.py}.
     """
 
     _annotation_geom: geom_base_class

plotnine/geoms/geom.py

@@ -53,7 +53,7 @@ class geom(ABC, metaclass=Register):
     """Geom/layer specific dataframe"""
 
     mapping: aes
-    """Mappings i.e. `aes(x='col1', fill='col2')`{.py}"""
+    """Mappings i.e. `aes(x="col1", fill="col2")`{.py}"""
 
     aes_params: dict[str, Any] = {}  # setting of aesthetic
     params: dict[str, Any]  # parameter settings
@@ -379,8 +379,8 @@ def draw_unit(
         Plot data belonging to a unit.
 
         A matplotlib plot function may require that an aethestic
-        have a single unique value. e.g. linestyle='dashed' and
-        not linestyle=['dashed', 'dotted', ...].
+        have a single unique value. e.g. `linestyle="dashed"`{.py}
+        and not `linestyle=["dashed", "dotted", ...]`{.py}.
         A single call to such a function can only plot lines with
         the same linestyle. However, if the plot we want has more
         than one line with different linestyles, we need to group

plotnine/geoms/geom_boxplot.py

@@ -109,7 +109,7 @@ def __init__(
         _position = kwargs.get("position", self.DEFAULT_PARAMS["position"])
         varwidth = kwargs.get("varwidth", self.DEFAULT_PARAMS["varwidth"])
 
-        # varwidth = True is not compatible with preserve='total'
+        # varwidth = True is not compatible with preserve="total"
         if varwidth:
             if isinstance(_position, str):
                 kwargs["position"] = position_dodge2(preserve="single")

plotnine/geoms/geom_dotplot.py

@@ -71,7 +71,7 @@ def setup_data(self, data: pd.DataFrame) -> pd.DataFrame:
         # Issue warnings when parameters don't make sense
         if gp["position"] == "stack":
             warn(
-                "position='stack' doesn't work properly with "
+                'position="stack" doesn"t work properly with '
                 "geom_dotplot. Use stackgroups=True instead.",
                 PlotnineWarning,
             )
@@ -82,8 +82,8 @@ def setup_data(self, data: pd.DataFrame) -> pd.DataFrame:
         ):
             warn(
                 "geom_dotplot called with stackgroups=TRUE and "
-                "method='dotdensity'. You probably want to set "
-                "binpositions='all'",
+                'method="dotdensity". You probably want to set '
+                'binpositions="all"',
                 PlotnineWarning,
             )
 

plotnine/geoms/geom_ribbon.py

@@ -52,11 +52,11 @@ class geom_ribbon(geom):
         expression should match the `ymin` value or expression. i.e.
 
         ```python
-         aes(ymin=0, ymax='col1', where='col1 > 0')  # good
-         aes(ymin=0, ymax='col1', where='col1 > 10')  # bad
+         aes(ymin=0, ymax="col1", where="col1 > 0")  # good
+         aes(ymin=0, ymax="col1", where="col1 > 10")  # bad
 
-         aes(ymin=col2, ymax='col1', where='col1 > col2')  # good
-         aes(ymin=col2, ymax='col1', where='col1 > col3')  # bad
+         aes(ymin=col2, ymax="col1", where="col1 > col2")  # good
+         aes(ymin=col2, ymax="col1", where="col1 > col3")  # bad
         ```
     """
     DEFAULT_AES = {

plotnine/ggplot.py

@@ -728,9 +728,9 @@ def myplots():
 
     def facet_pages(column)
         base_plot = [
-            aes(x='wt', y='mpg', label='name'),
+            aes(x="wt", y="mpg", label="name"),
             geom_text(),
-            ]
+        ]
         for label, group_data in mtcars.groupby(column):
             yield ggplot(group_data) + base_plot + ggtitle(label)
 

plotnine/guides/guide_legend.py

@@ -124,7 +124,7 @@ def merge(self, other):
         ```python
         from ggplot import *
         p = (
-            ggplot(aes(x='cut', fill='cut', color='cut'), data=diamonds)
+            ggplot(aes(x="cut", fill="cut", color="cut"), data=diamonds)
             + stat_bin()
         )
         ```

plotnine/scales/limits.py

@@ -50,9 +50,9 @@ def get_scale(self, plot):
         # aesthetic is mapped to a categorical but the limits
         # are not provided in categorical form. We only handle
         # the case where the mapping uses an expression to
-        # conver to categorical e.g `aes(color='factor(cyl)')`.
-        # However if `'cyl'` column is a categorical and the
-        # mapping is `aes(color='cyl')`, that will result in
+        # conver to categorical e.g `aes(color="factor(cyl)")`.
+        # However if `"cyl"` column is a categorical and the
+        # mapping is `aes(color="cyl")`, that will result in
         # an error. If later case proves common enough then we
         # could inspect the data and be clever based on that too!!
         ae = self.aesthetic

plotnine/stats/smoothers.py

@@ -368,7 +368,7 @@ def loess(data, xseq, **params):
         kwargs["surface"] = "direct"
         warnings.warn(
             "Making prediction outside the data range, "
-            "setting loess control parameter `surface='direct'`.",
+            'setting loess control parameter `surface="direct"`.',
             PlotnineWarning,
         )
 

plotnine/stats/stat_bindot.py

@@ -38,13 +38,13 @@ class stat_bindot(stat):
         Number of bins. Overridden by binwidth. If `None`{.py},
         a number is computed using the freedman-diaconis method.
     binwidth : float, default=None
-        When `method='dotdensity'`{.py}, this specifies the maximum
-        binwidth. When `method='histodot'`{.py}, this specifies the
+        When `method="dotdensity"`{.py}, this specifies the maximum
+        binwidth. When `method="histodot"`{.py}, this specifies the
         binwidth. This supercedes the `bins`.
     origin : float, default=None
-        When `method='histodot'`{.py}, origin of the first bin.
+        When `method="histodot"`{.py}, origin of the first bin.
     width : float, default=0.9
-        When `binaxis='y'`{.py}, the spacing of the dotstacks for
+        When `binaxis="y"`{.py}, the spacing of the dotstacks for
         dodging.
     binaxis : Literal["x", "y"], default="x"
         Axis to bin along.
@@ -60,10 +60,10 @@ class stat_bindot(stat):
     drop : bool, default=False
         If `True`{.py}, remove all bins with zero counts.
     right : bool, default=True
-        When `method='histodot'`{.py}, `True`{.py} means include right
+        When `method="histodot"`{.py}, `True`{.py} means include right
         edge of the bins and if `False`{.py} the left edge is included.
     breaks : FloatArray, default=None
-        Bin boundaries for `method='histodot'`{.py}. This supercedes the
+        Bin boundaries for `method="histodot"`{.py}. This supercedes the
         `binwidth` and `bins`.
 
     See Also

plotnine/stats/stat_sina.py

@@ -47,7 +47,7 @@ class stat_sina(stat):
     bin_limit : int, default=1
         If the samples within the same y-axis bin are more
         than `bin_limit`, the samples's X coordinates will be adjusted.
-        This parameter is effective only when `method='counts'`{.py}
+        This parameter is effective only when `method="counts"`{.py}
     random_state : int | ~numpy.random.RandomState, default=None
         Seed or Random number generator to use. If `None`, then
         numpy global generator [](`numpy.random`) is used.

plotnine/stats/stat_ydensity.py

@@ -19,7 +19,7 @@ class stat_ydensity(stat):
     Parameters
     ----------
     {common_parameters}
-    kernel : str, default='gaussian'
+    kernel : str, default="gaussian"
         Kernel used for density estimation. One of:
 
         ```python

tests/test_facets.py

@@ -190,7 +190,7 @@ def test_array_mapping_and_evaluation():
         {"x": range(12), "y": range(12), "g": list("abcd") * 3}
     )
 
-    # should be the same as if color='g'
+    # should be the same as if color="g"
     p = (
         ggplot(data, aes("x", "y", color=data["g"]))
         + geom_point(size=4)