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Commit102d0a6

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Merge pull request#27840 from saranti/box_legend_support
Add legend support for boxplots
2 parents1174aad +c96334d commit102d0a6

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5 files changed

+140
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Lines changed: 60 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,60 @@
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Legend support for Boxplot
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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Boxplots now support a *label* parameter to create legend entries.
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Legend labels can be passed as a list of strings to label multiple boxes in a single
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`.Axes.boxplot` call:
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..plot::
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:include-source: true
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:alt: Example of creating 3 boxplots and assigning legend labels as a sequence.
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import matplotlib.pyplot as plt
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import numpy as np
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np.random.seed(19680801)
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fruit_weights = [
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np.random.normal(130, 10, size=100),
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np.random.normal(125, 20, size=100),
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np.random.normal(120, 30, size=100),
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]
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labels = ['peaches', 'oranges', 'tomatoes']
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colors = ['peachpuff', 'orange', 'tomato']
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fig, ax = plt.subplots()
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ax.set_ylabel('fruit weight (g)')
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bplot = ax.boxplot(fruit_weights,
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patch_artist=True, # fill with color
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label=labels)
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# fill with colors
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for patch, color in zip(bplot['boxes'], colors):
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patch.set_facecolor(color)
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ax.set_xticks([])
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ax.legend()
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Or as a single string to each individual `.Axes.boxplot`:
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..plot::
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:include-source: true
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:alt: Example of creating 2 boxplots and assigning each legend label as a string.
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import matplotlib.pyplot as plt
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import numpy as np
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fig, ax = plt.subplots()
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data_A = np.random.random((100, 3))
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data_B = np.random.random((100, 3)) + 0.2
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pos = np.arange(3)
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ax.boxplot(data_A, positions=pos - 0.2, patch_artist=True, label='Box A',
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boxprops={'facecolor': 'steelblue'})
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ax.boxplot(data_B, positions=pos + 0.2, patch_artist=True, label='Box B',
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boxprops={'facecolor': 'lightblue'})
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ax.legend()

‎lib/matplotlib/axes/_axes.py‎

Lines changed: 44 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -3816,7 +3816,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
38163816
tick_labels=None,flierprops=None,medianprops=None,
38173817
meanprops=None,capprops=None,whiskerprops=None,
38183818
manage_ticks=True,autorange=False,zorder=None,
3819-
capwidths=None):
3819+
capwidths=None,label=None):
38203820
"""
38213821
Draw a box and whisker plot.
38223822
@@ -4003,6 +4003,20 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
40034003
The style of the median.
40044004
meanprops : dict, default: None
40054005
The style of the mean.
4006+
label : str or list of str, optional
4007+
Legend labels. Use a single string when all boxes have the same style and
4008+
you only want a single legend entry for them. Use a list of strings to
4009+
label all boxes individually. To be distinguishable, the boxes should be
4010+
styled individually, which is currently only possible by modifying the
4011+
returned artists, see e.g. :doc:`/gallery/statistics/boxplot_demo`.
4012+
4013+
In the case of a single string, the legend entry will technically be
4014+
associated with the first box only. By default, the legend will show the
4015+
median line (``result["medians"]``); if *patch_artist* is True, the legend
4016+
will show the box `.Patch` artists (``result["boxes"]``) instead.
4017+
4018+
.. versionadded:: 3.9
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40064020
data : indexable object, optional
40074021
DATA_PARAMETER_PLACEHOLDER
40084022
@@ -4123,7 +4137,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
41234137
meanline=meanline,showfliers=showfliers,
41244138
capprops=capprops,whiskerprops=whiskerprops,
41254139
manage_ticks=manage_ticks,zorder=zorder,
4126-
capwidths=capwidths)
4140+
capwidths=capwidths,label=label)
41274141
returnartists
41284142

41294143
defbxp(self,bxpstats,positions=None,widths=None,vert=True,
@@ -4132,7 +4146,7 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
41324146
boxprops=None,whiskerprops=None,flierprops=None,
41334147
medianprops=None,capprops=None,meanprops=None,
41344148
meanline=False,manage_ticks=True,zorder=None,
4135-
capwidths=None):
4149+
capwidths=None,label=None):
41364150
"""
41374151
Draw a box and whisker plot from pre-computed statistics.
41384152
@@ -4215,6 +4229,20 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
42154229
If True, the tick locations and labels will be adjusted to match the
42164230
boxplot positions.
42174231
4232+
label : str or list of str, optional
4233+
Legend labels. Use a single string when all boxes have the same style and
4234+
you only want a single legend entry for them. Use a list of strings to
4235+
label all boxes individually. To be distinguishable, the boxes should be
4236+
styled individually, which is currently only possible by modifying the
4237+
returned artists, see e.g. :doc:`/gallery/statistics/boxplot_demo`.
4238+
4239+
In the case of a single string, the legend entry will technically be
4240+
associated with the first box only. By default, the legend will show the
4241+
median line (``result["medians"]``); if *patch_artist* is True, the legend
4242+
will show the box `.Patch` artists (``result["boxes"]``) instead.
4243+
4244+
.. versionadded:: 3.9
4245+
42184246
zorder : float, default: ``Line2D.zorder = 2``
42194247
The zorder of the resulting boxplot.
42204248
@@ -4379,6 +4407,7 @@ def do_patch(xs, ys, **kwargs):
43794407
ifshowbox:
43804408
do_box=do_patchifpatch_artistelsedo_plot
43814409
boxes.append(do_box(box_x,box_y,**box_kw))
4410+
median_kw.setdefault('label','_nolegend_')
43824411
# draw the whiskers
43834412
whisker_kw.setdefault('label','_nolegend_')
43844413
whiskers.append(do_plot(whis_x,whislo_y,**whisker_kw))
@@ -4389,7 +4418,6 @@ def do_patch(xs, ys, **kwargs):
43894418
caps.append(do_plot(cap_x,cap_lo,**cap_kw))
43904419
caps.append(do_plot(cap_x,cap_hi,**cap_kw))
43914420
# draw the medians
4392-
median_kw.setdefault('label','_nolegend_')
43934421
medians.append(do_plot(med_x,med_y,**median_kw))
43944422
# maybe draw the means
43954423
ifshowmeans:
@@ -4407,6 +4435,18 @@ def do_patch(xs, ys, **kwargs):
44074435
flier_y=stats['fliers']
44084436
fliers.append(do_plot(flier_x,flier_y,**flier_kw))
44094437

4438+
# Set legend labels
4439+
iflabel:
4440+
box_or_med=boxesifshowboxandpatch_artistelsemedians
4441+
ifcbook.is_scalar_or_string(label):
4442+
# assign the label only to the first box
4443+
box_or_med[0].set_label(label)
4444+
else:# label is a sequence
4445+
iflen(box_or_med)!=len(label):
4446+
raiseValueError(datashape_message.format("label"))
4447+
forartist,lblinzip(box_or_med,label):
4448+
artist.set_label(lbl)
4449+
44104450
ifmanage_ticks:
44114451
axis_name="x"ifvertelse"y"
44124452
interval=getattr(self.dataLim,f"interval{axis_name}")

‎lib/matplotlib/axes/_axes.pyi‎

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -372,6 +372,7 @@ class Axes(_AxesBase):
372372
autorange:bool= ...,
373373
zorder:float|None= ...,
374374
capwidths:float|ArrayLike|None= ...,
375+
label:Sequence[str]|None= ...,
375376
*,
376377
data=...,
377378
)->dict[str,Any]: ...
@@ -397,6 +398,7 @@ class Axes(_AxesBase):
397398
manage_ticks:bool= ...,
398399
zorder:float|None= ...,
399400
capwidths:float|ArrayLike|None= ...,
401+
label:Sequence[str]|None= ...,
400402
)->dict[str,Any]: ...
401403
defscatter(
402404
self,

‎lib/matplotlib/pyplot.py‎

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2941,6 +2941,7 @@ def boxplot(
29412941
autorange:bool=False,
29422942
zorder:float|None=None,
29432943
capwidths:float|ArrayLike|None=None,
2944+
label:Sequence[str]|None=None,
29442945
*,
29452946
data=None,
29462947
)->dict[str,Any]:
@@ -2972,6 +2973,7 @@ def boxplot(
29722973
autorange=autorange,
29732974
zorder=zorder,
29742975
capwidths=capwidths,
2976+
label=label,
29752977
**({"data":data}ifdataisnotNoneelse {}),
29762978
)
29772979

‎lib/matplotlib/tests/test_legend.py‎

Lines changed: 32 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -1435,3 +1435,35 @@ def test_legend_text():
14351435
leg_bboxes.append(
14361436
leg.get_window_extent().transformed(ax.transAxes.inverted()))
14371437
assert_allclose(leg_bboxes[1].bounds,leg_bboxes[0].bounds)
1438+
1439+
1440+
deftest_boxplot_legend_labels():
1441+
# Test that legend entries are generated when passing `label`.
1442+
np.random.seed(19680801)
1443+
data=np.random.random((10,4))
1444+
fig,axs=plt.subplots(nrows=1,ncols=4)
1445+
legend_labels= ['box A','box B','box C','box D']
1446+
1447+
# Testing legend labels and patch passed to legend.
1448+
bp1=axs[0].boxplot(data,patch_artist=True,label=legend_labels)
1449+
assert [v.get_label()forvinbp1['boxes']]==legend_labels
1450+
handles,labels=axs[0].get_legend_handles_labels()
1451+
assertlabels==legend_labels
1452+
assertall(isinstance(h,mpl.patches.PathPatch)forhinhandles)
1453+
1454+
# Testing legend without `box`.
1455+
bp2=axs[1].boxplot(data,label=legend_labels,showbox=False)
1456+
# Without a box, The legend entries should be passed from the medians.
1457+
assert [v.get_label()forvinbp2['medians']]==legend_labels
1458+
handles,labels=axs[1].get_legend_handles_labels()
1459+
assertlabels==legend_labels
1460+
assertall(isinstance(h,mpl.lines.Line2D)forhinhandles)
1461+
1462+
# Testing legend with number of labels different from number of boxes.
1463+
withpytest.raises(ValueError,match='values must have same the length'):
1464+
bp3=axs[2].boxplot(data,label=legend_labels[:-1])
1465+
1466+
# Test that for a string label, only the first box gets a label.
1467+
bp4=axs[3].boxplot(data,label='box A')
1468+
assertbp4['medians'][0].get_label()=='box A'
1469+
assertall(x.get_label().startswith("_")forxinbp4['medians'][1:])

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