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Fix boxplot legend entries part 2 #27711

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Jan 31, 2024
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7 changes: 7 additions & 0 deletions lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -4004,6 +4004,9 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
if 'color' in boxprops:
boxprops['edgecolor'] = boxprops.pop('color')

if labels:
boxprops['label'] = labels

# if non-default sym value, put it into the flier dictionary
# the logic for providing the default symbol ('b+') now lives
# in bxp in the initial value of flierkw
Expand Down Expand Up @@ -4316,13 +4319,16 @@ def do_patch(xs, ys, **kwargs):
do_box = do_patch if patch_artist else do_plot
boxes.append(do_box(box_x, box_y, **box_kw))
# draw the whiskers
whisker_kw.setdefault('label', '_nolegend_')
whiskers.append(do_plot(whis_x, whislo_y, **whisker_kw))
whiskers.append(do_plot(whis_x, whishi_y, **whisker_kw))
# maybe draw the caps
if showcaps:
cap_kw.setdefault('label', '_nolegend_')
caps.append(do_plot(cap_x, cap_lo, **cap_kw))
caps.append(do_plot(cap_x, cap_hi, **cap_kw))
# draw the medians
median_kw.setdefault('label', '_nolegend_')
medians.append(do_plot(med_x, med_y, **median_kw))
# maybe draw the means
if showmeans:
Expand All @@ -4335,6 +4341,7 @@ def do_patch(xs, ys, **kwargs):
means.append(do_plot([pos], [stats['mean']], **mean_kw))
# maybe draw the fliers
if showfliers:
flier_kw.setdefault('label', '_nolegend_')
flier_x = np.full(len(stats['fliers']), pos, dtype=np.float64)
flier_y = stats['fliers']
fliers.append(do_plot(flier_x, flier_y, **flier_kw))
Expand Down
30 changes: 30 additions & 0 deletions lib/matplotlib/tests/test_legend.py
Original file line number Diff line number Diff line change
Expand Up @@ -1427,3 +1427,33 @@ def test_legend_text():
leg_bboxes.append(
leg.get_window_extent().transformed(ax.transAxes.inverted()))
assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)


def test_boxplot_legend():
# Test that boxplot legends handles are patches
# and labels are generated from boxplot's labels parameter.
fig, axs = plt.subplots()
A = 5*np.random.rand(100, 1)
B = 10*np.random.rand(100, 1) - 5
C = 7*np.random.rand(100, 1) - 5
labels = ['a', 'b', 'c']

bp0 = axs.boxplot(A, positions=[0], patch_artist=True, labels=labels[0])
bp1 = axs.boxplot(B, positions=[1], patch_artist=True, labels=labels[1])
bp2 = axs.boxplot(C, positions=[2], patch_artist=True, labels=labels[2])
# red, blue, green
colors = [(1.0, 0.0, 0.0, 1), (0.0, 0.0, 1.0, 1), (0.0, 0.5, 0.0, 1)]
box_list = [bp0, bp1, bp2]
# Set colors to the boxes
lbl_index = 0
for b_plot, color in zip(box_list, colors):
for patch in b_plot['boxes']:
patch.set_color(color)
lbl_index += 1

legend = axs.legend()
for index, handle in enumerate(legend.legend_handles):
assert isinstance(handle, mpl.patches.Rectangle)
assert handle.get_facecolor() == colors[index]
assert handle.get_edgecolor() == colors[index]
assert handle.get_label() == labels[index]