def _make_plot(self):
if self.subplots:
self._return_obj = pd.Series(dtype=object)
# Re-create iterated data if `by` is assigned by users
data = (create_iter_data_given_by(self.data, self._kind)
if self.by is not None else self.data)
for i, (label, y) in enumerate(self._iter_data(data=data)):
ax = self._get_ax(i)
kwds = self.kwds.copy()
# When by is applied, show title for subplots to know which group it is
# just like df.boxplot, and need to apply T on y to provide right input
if self.by is not None:
y = y.T
ax.set_title(pprint_thing(label))
# When `by` is assigned, the ticklabels will become unique grouped
# values, instead of label which is used as subtitle in this case.
ticklabels = [
pprint_thing(col)
for col in self.data.columns.levels[0]
]
else:
ticklabels = [pprint_thing(label)]
ret, bp = self._plot(ax,
y,
column_num=i,
return_type=self.return_type,
**kwds)
self.maybe_color_bp(bp)
self._return_obj[label] = ret
self._set_ticklabels(ax, ticklabels)
else:
y = self.data.values.T
ax = self._get_ax(0)
kwds = self.kwds.copy()
ret, bp = self._plot(ax,
y,
column_num=0,
return_type=self.return_type,
**kwds)
self.maybe_color_bp(bp)
self._return_obj = ret
labels = [left for left, _ in self._iter_data()]
labels = [pprint_thing(left) for left in labels]
if not self.use_index:
labels = [pprint_thing(key) for key in range(len(labels))]
self._set_ticklabels(ax, labels)
def _make_plot(self):
colors = self._get_colors()
stacking_id = self._get_stacking_id()
# Re-create iterated data if `by` is assigned by users
data = (create_iter_data_given_by(self.data, self._kind)
if self.by is not None else self.data)
for i, (label, y) in enumerate(self._iter_data(data=data)):
ax = self._get_ax(i)
kwds = self.kwds.copy()
label = pprint_thing(label)
label = self._mark_right_label(label, index=i)
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)
# the bins is multi-dimension array now and each plot need only 1-d and
# when by is applied, label should be columns that are grouped
if self.by is not None:
kwds["bins"] = kwds["bins"][i]
kwds["label"] = self.columns
kwds.pop("color")
y = reformat_hist_y_given_by(y, self.by)
# We allow weights to be a multi-dimensional array, e.g. a (10, 2) array,
# and each sub-array (10,) will be called in each iteration. If users only
# provide 1D array, we assume the same weights is used for all iterations
weights = kwds.get("weights", None)
if weights is not None and np.ndim(weights) != 1:
kwds["weights"] = weights[:, i]
artists = self._plot(ax,
y,
column_num=i,
stacking_id=stacking_id,
**kwds)
# when by is applied, show title for subplots to know which group it is
if self.by is not None:
ax.set_title(pprint_thing(label))
self._append_legend_handles_labels(artists[0], label)
