REF: make plotting less stateful

pandas/plotting/_matplotlib/boxplot.py

@@ -35,6 +35,7 @@
     from collections.abc import Collection
 
     from matplotlib.axes import Axes
+    from matplotlib.figure import Figure
     from matplotlib.lines import Line2D
 
     from pandas._typing import MatplotlibColor
@@ -177,7 +178,7 @@ def maybe_color_bp(self, bp) -> None:
         if not self.kwds.get("capprops"):
             setp(bp["caps"], color=caps, alpha=1)
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         if self.subplots:
             self._return_obj = pd.Series(dtype=object)
 

pandas/plotting/_matplotlib/core.py

@@ -80,6 +80,7 @@
     from matplotlib.artist import Artist
     from matplotlib.axes import Axes
     from matplotlib.axis import Axis
+    from matplotlib.figure import Figure
 
     from pandas._typing import (
         IndexLabel,
@@ -241,7 +242,8 @@ def __init__(
         self.stacked = kwds.pop("stacked", False)
 
         self.ax = ax
-        self.fig = fig
+        # TODO: deprecate fig keyword as it is ignored, not passed in tests
+        #  as of 2023-11-05
         self.axes = np.array([], dtype=object)  # "real" version get set in `generate`
 
         # parse errorbar input if given
@@ -449,11 +451,11 @@ def draw(self) -> None:
     def generate(self) -> None:
         self._args_adjust()
         self._compute_plot_data()
-        self._setup_subplots()
-        self._make_plot()
+        fig = self._setup_subplots()
+        self._make_plot(fig)
         self._add_table()
         self._make_legend()
-        self._adorn_subplots()
+        self._adorn_subplots(fig)
 
         for ax in self.axes:
             self._post_plot_logic_common(ax, self.data)
@@ -495,7 +497,7 @@ def _maybe_right_yaxis(self, ax: Axes, axes_num):
                 new_ax.set_yscale("symlog")
             return new_ax
 
-    def _setup_subplots(self):
+    def _setup_subplots(self) -> Figure:
         if self.subplots:
             naxes = (
                 self.nseries if isinstance(self.subplots, bool) else len(self.subplots)
@@ -538,8 +540,8 @@ def _setup_subplots(self):
         elif self.logy == "sym" or self.loglog == "sym":
             [a.set_yscale("symlog") for a in axes]
 
-        self.fig = fig
         self.axes = axes
+        return fig
 
     @property
     def result(self):
@@ -637,7 +639,7 @@ def _compute_plot_data(self):
 
         self.data = numeric_data.apply(self._convert_to_ndarray)
 
-    def _make_plot(self):
+    def _make_plot(self, fig: Figure):
         raise AbstractMethodError(self)
 
     def _add_table(self) -> None:
@@ -672,11 +674,11 @@ def _post_plot_logic_common(self, ax, data):
     def _post_plot_logic(self, ax, data) -> None:
         """Post process for each axes. Overridden in child classes"""
 
-    def _adorn_subplots(self):
+    def _adorn_subplots(self, fig: Figure):
         """Common post process unrelated to data"""
         if len(self.axes) > 0:
-            all_axes = self._get_subplots()
-            nrows, ncols = self._get_axes_layout()
+            all_axes = self._get_subplots(fig)
+            nrows, ncols = self._get_axes_layout(fig)
             handle_shared_axes(
                 axarr=all_axes,
                 nplots=len(all_axes),
@@ -723,7 +725,7 @@ def _adorn_subplots(self):
                     for ax, title in zip(self.axes, self.title):
                         ax.set_title(title)
                 else:
-                    self.fig.suptitle(self.title)
+                    fig.suptitle(self.title)
             else:
                 if is_list_like(self.title):
                     msg = (
@@ -1114,17 +1116,17 @@ def _get_errorbars(
                     errors[kw] = err
         return errors
 
-    def _get_subplots(self):
+    def _get_subplots(self, fig: Figure):
         from matplotlib.axes import Subplot
 
         return [
             ax
-            for ax in self.fig.get_axes()
+            for ax in fig.get_axes()
             if (isinstance(ax, Subplot) and ax.get_subplotspec() is not None)
         ]
 
-    def _get_axes_layout(self) -> tuple[int, int]:
-        axes = self._get_subplots()
+    def _get_axes_layout(self, fig: Figure) -> tuple[int, int]:
+        axes = self._get_subplots(fig)
         x_set = set()
         y_set = set()
         for ax in axes:
@@ -1172,7 +1174,7 @@ def _post_plot_logic(self, ax: Axes, data) -> None:
         ax.set_xlabel(xlabel)
         ax.set_ylabel(ylabel)
 
-    def _plot_colorbar(self, ax: Axes, **kwds):
+    def _plot_colorbar(self, ax: Axes, *, fig: Figure, **kwds):
         # Addresses issues #10611 and #10678:
         # When plotting scatterplots and hexbinplots in IPython
         # inline backend the colorbar axis height tends not to
@@ -1189,7 +1191,7 @@ def _plot_colorbar(self, ax: Axes, **kwds):
         # use the last one which contains the latest information
         # about the ax
         img = ax.collections[-1]
-        return self.fig.colorbar(img, ax=ax, **kwds)
+        return fig.colorbar(img, ax=ax, **kwds)
 
 
 class ScatterPlot(PlanePlot):
@@ -1209,7 +1211,7 @@ def __init__(self, data, x, y, s=None, c=None, **kwargs) -> None:
             c = self.data.columns[c]
         self.c = c
 
-    def _make_plot(self):
+    def _make_plot(self, fig: Figure):
         x, y, c, data = self.x, self.y, self.c, self.data
         ax = self.axes[0]
 
@@ -1274,7 +1276,7 @@ def _make_plot(self):
         )
         if cb:
             cbar_label = c if c_is_column else ""
-            cbar = self._plot_colorbar(ax, label=cbar_label)
+            cbar = self._plot_colorbar(ax, fig=fig, label=cbar_label)
             if color_by_categorical:
                 cbar.set_ticks(np.linspace(0.5, n_cats - 0.5, n_cats))
                 cbar.ax.set_yticklabels(self.data[c].cat.categories)
@@ -1306,7 +1308,7 @@ def __init__(self, data, x, y, C=None, **kwargs) -> None:
             C = self.data.columns[C]
         self.C = C
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         x, y, data, C = self.x, self.y, self.data, self.C
         ax = self.axes[0]
         # pandas uses colormap, matplotlib uses cmap.
@@ -1321,7 +1323,7 @@ def _make_plot(self) -> None:
 
         ax.hexbin(data[x].values, data[y].values, C=c_values, cmap=cmap, **self.kwds)
         if cb:
-            self._plot_colorbar(ax)
+            self._plot_colorbar(ax, fig=fig)
 
     def _make_legend(self) -> None:
         pass
@@ -1358,7 +1360,7 @@ def _is_ts_plot(self) -> bool:
     def _use_dynamic_x(self):
         return use_dynamic_x(self._get_ax(0), self.data)
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         if self._is_ts_plot():
             data = maybe_convert_index(self._get_ax(0), self.data)
 
@@ -1680,7 +1682,7 @@ def _plot(  # type: ignore[override]
     def _start_base(self):
         return self.bottom
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         colors = self._get_colors()
         ncolors = len(colors)
 
@@ -1842,7 +1844,7 @@ def _args_adjust(self) -> None:
     def _validate_color_args(self) -> None:
         pass
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         colors = self._get_colors(num_colors=len(self.data), color_kwds="colors")
         self.kwds.setdefault("colors", colors)
 

pandas/plotting/_matplotlib/hist.py

@@ -39,6 +39,7 @@
 
 if TYPE_CHECKING:
     from matplotlib.axes import Axes
+    from matplotlib.figure import Figure
 
     from pandas._typing import PlottingOrientation
 
@@ -113,7 +114,7 @@ def _plot(  # type: ignore[override]
         cls._update_stacker(ax, stacking_id, n)
         return patches
 
-    def _make_plot(self) -> None:
+    def _make_plot(self, fig: Figure) -> None:
         colors = self._get_colors()
         stacking_id = self._get_stacking_id()