def _make_plot(self):
# TODO: this logic is similar with KdePlot. Might have to deduplicate it.
# 'num_colors' requires to calculate `shape` which has to count all.
# Use 1 for now to save the computation.
colors = self._get_colors(num_colors=1)
stacking_id = self._get_stacking_id()
output_series = HistogramPlotBase.compute_hist(self.data, self.bins)
for (i, label), y in zip(enumerate(self.data._internal.column_labels),
output_series):
ax = self._get_ax(i)
kwds = self.kwds.copy()
label = pprint_thing(label if len(label) > 1 else label[0])
# `if hasattr(...)` makes plotting compatible with pandas < 1.3,
# see pandas-dev/pandas#40078.
label = (self._mark_right_label(label, index=i) if hasattr(
self, "_mark_right_label") else label)
kwds["label"] = label
style, kwds = self._apply_style_colors(colors, kwds, i, label)
if style is not None:
kwds["style"] = style
kwds = self._make_plot_keywords(kwds, y)
artists = self._plot(ax,
y,
column_num=i,
stacking_id=stacking_id,
**kwds)
# `if hasattr(...)` makes plotting compatible with pandas < 1.3,
# see pandas-dev/pandas#40078.
self._append_legend_handles_labels(artists[0], label) if hasattr(
self,
"_append_legend_handles_labels") else self._add_legend_handle(
artists[0], label, index=i)
def _compute_plot_data(self):
self.data, self.bins = HistogramPlotBase.prepare_hist_data(
self.data, self.bins)