import collections

import itertools

import platform

import time

from unittest import mock

import warnings

import numpy as np

from numpy.testing import assert_allclose

import pytest

from matplotlib.testing.decorators import check_figures_equal, image_comparison

from matplotlib.testing._markers import needs_usetex

import matplotlib.pyplot as plt

import matplotlib as mpl

import matplotlib.patches as mpatches

import matplotlib.transforms as mtransforms

import matplotlib.collections as mcollections

import matplotlib.lines as mlines

from matplotlib.legend_handler import HandlerTuple

import matplotlib.legend as mlegend

from matplotlib import _api, rc_context

from matplotlib.font_manager import FontProperties

def test_legend_ordereddict():

# smoketest that ordereddict inputs work...

X = np.random.randn(10)

Y = np.random.randn(10)

labels = ['a'] * 5 + ['b'] * 5

colors = ['r'] * 5 + ['g'] * 5

fig, ax = plt.subplots()

for x, y, label, color in zip(X, Y, labels, colors):

ax.scatter(x, y, label=label, c=color)

handles, labels = ax.get_legend_handles_labels()

legend = collections.OrderedDict(zip(labels, handles))

ax.legend(legend.values(), legend.keys(),

loc='center left', bbox_to_anchor=(1, .5))

@image_comparison(['legend_auto1'], remove_text=True)

def test_legend_auto1():

"""Test automatic legend placement"""

fig, ax = plt.subplots()

x = np.arange(100)

ax.plot(x, 50 - x, 'o', label='y=1')

ax.plot(x, x - 50, 'o', label='y=-1')

ax.legend(loc='best')

@image_comparison(['legend_auto2'], remove_text=True)

def test_legend_auto2():

"""Test automatic legend placement"""

fig, ax = plt.subplots()

x = np.arange(100)

b1 = ax.bar(x, x, align='edge', color='m')

b2 = ax.bar(x, x[::-1], align='edge', color='g')

ax.legend([b1[0], b2[0]], ['up', 'down'], loc='best')

@image_comparison(['legend_auto3'])

def test_legend_auto3():

"""Test automatic legend placement"""

fig, ax = plt.subplots()

x = [0.9, 0.1, 0.1, 0.9, 0.9, 0.5]

y = [0.95, 0.95, 0.05, 0.05, 0.5, 0.5]

ax.plot(x, y, 'o-', label='line')

ax.set_xlim(0.0, 1.0)

ax.set_ylim(0.0, 1.0)

ax.legend(loc='best')

def test_legend_auto4():

"""

Check that the legend location with automatic placement is the same,

whatever the histogram type is. Related to issue #9580.

"""

# NB: barstacked is pointless with a single dataset.

fig, axs = plt.subplots(ncols=3, figsize=(6.4, 2.4))

leg_bboxes = []

for ax, ht in zip(axs.flat, ('bar', 'step', 'stepfilled')):

ax.set_title(ht)

# A high bar on the left but an even higher one on the right.

ax.hist([0] + 5*[9], bins=range(10), label="Legend", histtype=ht)

leg = ax.legend(loc="best")

fig.canvas.draw()

leg_bboxes.append(

leg.get_window_extent().transformed(ax.transAxes.inverted()))

# The histogram type "bar" is assumed to be the correct reference.

assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)

assert_allclose(leg_bboxes[2].bounds, leg_bboxes[0].bounds)

def test_legend_auto5():

"""

Check that the automatic placement handle a rather complex

case with non rectangular patch. Related to issue #9580.

"""

fig, axs = plt.subplots(ncols=2, figsize=(9.6, 4.8))

leg_bboxes = []

for ax, loc in zip(axs.flat, ("center", "best")):

# An Ellipse patch at the top, a U-shaped Polygon patch at the

# bottom and a ring-like Wedge patch: the correct placement of

# the legend should be in the center.

for _patch in [

mpatches.Ellipse(

xy=(0.5, 0.9), width=0.8, height=0.2, fc="C1"),

mpatches.Polygon(np.array([

[0, 1], [0, 0], [1, 0], [1, 1], [0.9, 1.0], [0.9, 0.1],

[0.1, 0.1], [0.1, 1.0], [0.1, 1.0]]), fc="C1"),

mpatches.Wedge((0.5, 0.5), 0.5, 0, 360, width=0.05, fc="C0")

]:

ax.add_patch(_patch)

ax.plot([0.1, 0.9], [0.9, 0.9], label="A segment") # sthg to label

leg = ax.legend(loc=loc)

fig.canvas.draw()

leg_bboxes.append(

leg.get_window_extent().transformed(ax.transAxes.inverted()))

assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)

@image_comparison(['legend_various_labels'], remove_text=True)

def test_various_labels():

# tests all sorts of label types

fig = plt.figure()

ax = fig.add_subplot(121)

ax.plot(np.arange(4), 'o', label=1)

ax.plot(np.linspace(4, 4.1), 'o', label='Développés')

ax.plot(np.arange(4, 1, -1), 'o', label='__nolegend__')

ax.legend(numpoints=1, loc='best')

def test_legend_label_with_leading_underscore():

"""

Test that artists with labels starting with an underscore are not added to

the legend, and that a warning is issued if one tries to add them

explicitly.

"""

fig, ax = plt.subplots()

line, = ax.plot([0, 1], label='_foo')

with pytest.warns(_api.MatplotlibDeprecationWarning, match="with an underscore"):

legend = ax.legend(handles=[line])

assert len(legend.legend_handles) == 0

@image_comparison(['legend_labels_first.png'], remove_text=True,

tol=0.013 if platform.machine() == 'arm64' else 0)

def test_labels_first():

# test labels to left of markers

fig, ax = plt.subplots()

ax.plot(np.arange(10), '-o', label=1)

ax.plot(np.ones(10)*5, ':x', label="x")

ax.plot(np.arange(20, 10, -1), 'd', label="diamond")

ax.legend(loc='best', markerfirst=False)

@image_comparison(['legend_multiple_keys.png'], remove_text=True,

tol=0.013 if platform.machine() == 'arm64' else 0)

def test_multiple_keys():

# test legend entries with multiple keys

fig, ax = plt.subplots()

p1, = ax.plot([1, 2, 3], '-o')

p2, = ax.plot([2, 3, 4], '-x')

p3, = ax.plot([3, 4, 5], '-d')

ax.legend([(p1, p2), (p2, p1), p3], ['two keys', 'pad=0', 'one key'],

numpoints=1,

handler_map={(p1, p2): HandlerTuple(ndivide=None),

(p2, p1): HandlerTuple(ndivide=None, pad=0)})

@image_comparison(['rgba_alpha.png'], remove_text=True,

tol=0 if platform.machine() == 'x86_64' else 0.03)

def test_alpha_rgba():

fig, ax = plt.subplots()

ax.plot(range(10), lw=5)

leg = plt.legend(['Longlabel that will go away'], loc='center')

leg.legendPatch.set_facecolor([1, 0, 0, 0.5])

@image_comparison(['rcparam_alpha.png'], remove_text=True,

tol=0 if platform.machine() == 'x86_64' else 0.03)

def test_alpha_rcparam():

fig, ax = plt.subplots()

ax.plot(range(10), lw=5)

with mpl.rc_context(rc={'legend.framealpha': .75}):

leg = plt.legend(['Longlabel that will go away'], loc='center')

# this alpha is going to be over-ridden by the rcparam with

# sets the alpha of the patch to be non-None which causes the alpha

# value of the face color to be discarded. This behavior may not be

# ideal, but it is what it is and we should keep track of it changing

leg.legendPatch.set_facecolor([1, 0, 0, 0.5])

@image_comparison(['fancy'], remove_text=True, tol=0.05)

def test_fancy():

# Tolerance caused by changing default shadow "shade" from 0.3 to 1 - 0.7 =

# 0.30000000000000004

# using subplot triggers some offsetbox functionality untested elsewhere

plt.subplot(121)

plt.plot([5] * 10, 'o--', label='XX')

plt.scatter(np.arange(10), np.arange(10, 0, -1), label='XX\nXX')

plt.errorbar(np.arange(10), np.arange(10), xerr=0.5,

yerr=0.5, label='XX')

plt.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],

ncols=2, shadow=True, title="My legend", numpoints=1)

@image_comparison(['framealpha'], remove_text=True,

tol=0 if platform.machine() == 'x86_64' else 0.024)

def test_framealpha():

x = np.linspace(1, 100, 100)

y = x

plt.plot(x, y, label='mylabel', lw=10)

plt.legend(framealpha=0.5)

@image_comparison(['scatter_rc3', 'scatter_rc1'], remove_text=True)

def test_rc():

# using subplot triggers some offsetbox functionality untested elsewhere

plt.figure()

ax = plt.subplot(121)

ax.scatter(np.arange(10), np.arange(10, 0, -1), label='three')

ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],

title="My legend")

mpl.rcParams['legend.scatterpoints'] = 1

plt.figure()

ax = plt.subplot(121)

ax.scatter(np.arange(10), np.arange(10, 0, -1), label='one')

ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],

title="My legend")

@image_comparison(['legend_expand'], remove_text=True)

def test_legend_expand():

"""Test expand mode"""

legend_modes = [None, "expand"]

fig, axs = plt.subplots(len(legend_modes), 1)

x = np.arange(100)

for ax, mode in zip(axs, legend_modes):

ax.plot(x, 50 - x, 'o', label='y=1')

l1 = ax.legend(loc='upper left', mode=mode)

ax.add_artist(l1)

ax.plot(x, x - 50, 'o', label='y=-1')

l2 = ax.legend(loc='right', mode=mode)

ax.add_artist(l2)

ax.legend(loc='lower left', mode=mode, ncols=2)

@image_comparison(['hatching'], remove_text=True, style='default')

def test_hatching():

# Remove legend texts when this image is regenerated.

# Remove this line when this test image is regenerated.

plt.rcParams['text.kerning_factor'] = 6

fig, ax = plt.subplots()

# Patches

patch = plt.Rectangle((0, 0), 0.3, 0.3, hatch='xx',

label='Patch\ndefault color\nfilled')

ax.add_patch(patch)

patch = plt.Rectangle((0.33, 0), 0.3, 0.3, hatch='||', edgecolor='C1',

label='Patch\nexplicit color\nfilled')

ax.add_patch(patch)

patch = plt.Rectangle((0, 0.4), 0.3, 0.3, hatch='xx', fill=False,

label='Patch\ndefault color\nunfilled')

ax.add_patch(patch)

patch = plt.Rectangle((0.33, 0.4), 0.3, 0.3, hatch='||', fill=False,

edgecolor='C1',

label='Patch\nexplicit color\nunfilled')

ax.add_patch(patch)

# Paths

ax.fill_between([0, .15, .3], [.8, .8, .8], [.9, 1.0, .9],

hatch='+', label='Path\ndefault color')

ax.fill_between([.33, .48, .63], [.8, .8, .8], [.9, 1.0, .9],

hatch='+', edgecolor='C2', label='Path\nexplicit color')

ax.set_xlim(-0.01, 1.1)

ax.set_ylim(-0.01, 1.1)

ax.legend(handlelength=4, handleheight=4)

def test_legend_remove():

fig, ax = plt.subplots()

lines = ax.plot(range(10))

leg = fig.legend(lines, "test")

leg.remove()

assert fig.legends == []

leg = ax.legend("test")

leg.remove()

assert ax.get_legend() is None

def test_reverse_legend_handles_and_labels():

"""Check that the legend handles and labels are reversed."""

fig, ax = plt.subplots()

x = 1

y = 1

labels = ["First label", "Second label", "Third label"]

markers = ['.', ',', 'o']

ax.plot(x, y, markers[0], label=labels[0])

ax.plot(x, y, markers[1], label=labels[1])

ax.plot(x, y, markers[2], label=labels[2])

leg = ax.legend(reverse=True)

actual_labels = [t.get_text() for t in leg.get_texts()]

actual_markers = [h.get_marker() for h in leg.legend_handles]

assert actual_labels == list(reversed(labels))

assert actual_markers == list(reversed(markers))

@check_figures_equal(extensions=["png"])

def test_reverse_legend_display(fig_test, fig_ref):

"""Check that the rendered legend entries are reversed"""

ax = fig_test.subplots()

ax.plot([1], 'ro', label="first")

ax.plot([2], 'bx', label="second")

ax.legend(reverse=True)

ax = fig_ref.subplots()

ax.plot([2], 'bx', label="second")

ax.plot([1], 'ro', label="first")

ax.legend()

class TestLegendFunction:

# Tests the legend function on the Axes and pyplot.

def test_legend_no_args(self):

lines = plt.plot(range(10), label='hello world')

with mock.patch('matplotlib.legend.Legend') as Legend:

plt.legend()

Legend.assert_called_with(plt.gca(), lines, ['hello world'])

def test_legend_positional_handles_labels(self):

lines = plt.plot(range(10))

with mock.patch('matplotlib.legend.Legend') as Legend:

plt.legend(lines, ['hello world'])

Legend.assert_called_with(plt.gca(), lines, ['hello world'])

def test_legend_positional_handles_only(self):

lines = plt.plot(range(10))

with pytest.raises(TypeError, match='but found an Artist'):

# a single arg is interpreted as labels

# it's a common error to just pass handles

plt.legend(lines)

def test_legend_positional_labels_only(self):

lines = plt.plot(range(10), label='hello world')

with mock.patch('matplotlib.legend.Legend') as Legend:

plt.legend(['foobar'])

Legend.assert_called_with(plt.gca(), lines, ['foobar'])

def test_legend_three_args(self):

lines = plt.plot(range(10), label='hello world')

with mock.patch('matplotlib.legend.Legend') as Legend:

plt.legend(lines, ['foobar'], loc='right')

Legend.assert_called_with(plt.gca(), lines, ['foobar'], loc='right')

def test_legend_handler_map(self):

lines = plt.plot(range(10), label='hello world')

with mock.patch('matplotlib.legend.'

'_get_legend_handles_labels') as handles_labels:

handles_labels.return_value = lines, ['hello world']

plt.legend(handler_map={'1': 2})

handles_labels.assert_called_with([plt.gca()], {'1': 2})

def test_legend_kwargs_handles_only(self):

fig, ax = plt.subplots()

x = np.linspace(0, 1, 11)

ln1, = ax.plot(x, x, label='x')

ln2, = ax.plot(x, 2*x, label='2x')

ln3, = ax.plot(x, 3*x, label='3x')

with mock.patch('matplotlib.legend.Legend') as Legend:

ax.legend(handles=[ln3, ln2]) # reversed and not ln1

Legend.assert_called_with(ax, [ln3, ln2], ['3x', '2x'])

def test_legend_kwargs_labels_only(self):

fig, ax = plt.subplots()

x = np.linspace(0, 1, 11)

ln1, = ax.plot(x, x)

ln2, = ax.plot(x, 2*x)

with mock.patch('matplotlib.legend.Legend') as Legend:

ax.legend(labels=['x', '2x'])

Legend.assert_called_with(ax, [ln1, ln2], ['x', '2x'])

def test_legend_kwargs_handles_labels(self):

fig, ax = plt.subplots()

th = np.linspace(0, 2*np.pi, 1024)

lns, = ax.plot(th, np.sin(th), label='sin')

lnc, = ax.plot(th, np.cos(th), label='cos')

with mock.patch('matplotlib.legend.Legend') as Legend:

# labels of lns, lnc are overwritten with explicit ('a', 'b')

ax.legend(labels=('a', 'b'), handles=(lnc, lns))

Legend.assert_called_with(ax, (lnc, lns), ('a', 'b'))

def test_warn_mixed_args_and_kwargs(self):

fig, ax = plt.subplots()

th = np.linspace(0, 2*np.pi, 1024)

lns, = ax.plot(th, np.sin(th), label='sin')

lnc, = ax.plot(th, np.cos(th), label='cos')

with pytest.warns(DeprecationWarning) as record:

ax.legend((lnc, lns), labels=('a', 'b'))

assert len(record) == 1

assert str(record[0].message).startswith(

"You have mixed positional and keyword arguments, some input may "

"be discarded.")

def test_parasite(self):

from mpl_toolkits.axes_grid1 import host_subplot # type: ignore

host = host_subplot(111)

par = host.twinx()

p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")

p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")

with mock.patch('matplotlib.legend.Legend') as Legend:

plt.legend()

Legend.assert_called_with(host, [p1, p2], ['Density', 'Temperature'])

class TestLegendFigureFunction:

# Tests the legend function for figure

def test_legend_handle_label(self):

fig, ax = plt.subplots()

lines = ax.plot(range(10))

with mock.patch('matplotlib.legend.Legend') as Legend:

fig.legend(lines, ['hello world'])

Legend.assert_called_with(fig, lines, ['hello world'],

bbox_transform=fig.transFigure)

def test_legend_no_args(self):

fig, ax = plt.subplots()

lines = ax.plot(range(10), label='hello world')

with mock.patch('matplotlib.legend.Legend') as Legend:

fig.legend()

Legend.assert_called_with(fig, lines, ['hello world'],

bbox_transform=fig.transFigure)

def test_legend_label_arg(self):

fig, ax = plt.subplots()

lines = ax.plot(range(10))

with mock.patch('matplotlib.legend.Legend') as Legend:

fig.legend(['foobar'])

Legend.assert_called_with(fig, lines, ['foobar'],

bbox_transform=fig.transFigure)

def test_legend_label_three_args(self):

fig, ax = plt.subplots()

lines = ax.plot(range(10))

with pytest.raises(TypeError, match="0-2"):

fig.legend(lines, ['foobar'], 'right')

with pytest.raises(TypeError, match="0-2"):

fig.legend(lines, ['foobar'], 'right', loc='left')

def test_legend_kw_args(self):

fig, axs = plt.subplots(1, 2)

lines = axs[0].plot(range(10))

lines2 = axs[1].plot(np.arange(10) * 2.)

with mock.patch('matplotlib.legend.Legend') as Legend:

fig.legend(loc='right', labels=('a', 'b'), handles=(lines, lines2))

Legend.assert_called_with(

fig, (lines, lines2), ('a', 'b'), loc='right',

bbox_transform=fig.transFigure)

def test_warn_args_kwargs(self):

fig, axs = plt.subplots(1, 2)

lines = axs[0].plot(range(10))

lines2 = axs[1].plot(np.arange(10) * 2.)

with pytest.warns(DeprecationWarning) as record:

fig.legend((lines, lines2), labels=('a', 'b'))

assert len(record) == 1

assert str(record[0].message).startswith(

"You have mixed positional and keyword arguments, some input may "

"be discarded.")

def test_figure_legend_outside():

todos = ['upper ' + pos for pos in ['left', 'center', 'right']]

todos += ['lower ' + pos for pos in ['left', 'center', 'right']]

todos += ['left ' + pos for pos in ['lower', 'center', 'upper']]

todos += ['right ' + pos for pos in ['lower', 'center', 'upper']]

upperext = [20.347556, 27.722556, 790.583, 545.499]

lowerext = [20.347556, 71.056556, 790.583, 588.833]

leftext = [151.681556, 27.722556, 790.583, 588.833]

rightext = [20.347556, 27.722556, 659.249, 588.833]

axbb = [upperext, upperext, upperext,

lowerext, lowerext, lowerext,

leftext, leftext, leftext,

rightext, rightext, rightext]

legbb = [[10., 555., 133., 590.], # upper left

[338.5, 555., 461.5, 590.], # upper center

[667, 555., 790., 590.], # upper right

[10., 10., 133., 45.], # lower left

[338.5, 10., 461.5, 45.], # lower center

[667., 10., 790., 45.], # lower right

[10., 10., 133., 45.], # left lower

[10., 282.5, 133., 317.5], # left center

[10., 555., 133., 590.], # left upper

[667, 10., 790., 45.], # right lower

[667., 282.5, 790., 317.5], # right center

[667., 555., 790., 590.]] # right upper

for nn, todo in enumerate(todos):

print(todo)

fig, axs = plt.subplots(constrained_layout=True, dpi=100)

axs.plot(range(10), label='Boo1')

leg = fig.legend(loc='outside ' + todo)

fig.draw_without_rendering()

assert_allclose(axs.get_window_extent().extents,

axbb[nn])

assert_allclose(leg.get_window_extent().extents,

legbb[nn])

@image_comparison(['legend_stackplot.png'],

tol=0.031 if platform.machine() == 'arm64' else 0)

def test_legend_stackplot():

"""Test legend for PolyCollection using stackplot."""

# related to #1341, #1943, and PR #3303

fig, ax = plt.subplots()

x = np.linspace(0, 10, 10)

y1 = 1.0 * x

y2 = 2.0 * x + 1

y3 = 3.0 * x + 2

ax.stackplot(x, y1, y2, y3, labels=['y1', 'y2', 'y3'])

ax.set_xlim((0, 10))

ax.set_ylim((0, 70))

ax.legend(loc='best')

def test_cross_figure_patch_legend():

fig, ax = plt.subplots()

fig2, ax2 = plt.subplots()

brs = ax.bar(range(3), range(3))

fig2.legend(brs, 'foo')

def test_nanscatter():

fig, ax = plt.subplots()

h = ax.scatter([np.nan], [np.nan], marker="o",

facecolor="r", edgecolor="r", s=3)

ax.legend([h], ["scatter"])

fig, ax = plt.subplots()

for color in ['red', 'green', 'blue']:

n = 750

x, y = np.random.rand(2, n)

scale = 200.0 * np.random.rand(n)

ax.scatter(x, y, c=color, s=scale, label=color,

alpha=0.3, edgecolors='none')

ax.legend()

ax.grid(True)

def test_legend_repeatcheckok():

fig, ax = plt.subplots()

ax.scatter(0.0, 1.0, color='k', marker='o', label='test')

ax.scatter(0.5, 0.0, color='r', marker='v', label='test')

ax.legend()

hand, lab = mlegend._get_legend_handles_labels([ax])

assert len(lab) == 2

fig, ax = plt.subplots()

ax.scatter(0.0, 1.0, color='k', marker='o', label='test')

ax.scatter(0.5, 0.0, color='k', marker='v', label='test')

ax.legend()

hand, lab = mlegend._get_legend_handles_labels([ax])

assert len(lab) == 2

@image_comparison(['not_covering_scatter.png'])

def test_not_covering_scatter():

colors = ['b', 'g', 'r']

for n in range(3):

plt.scatter([n], [n], color=colors[n])

plt.legend(['foo', 'foo', 'foo'], loc='best')

plt.gca().set_xlim(-0.5, 2.2)

plt.gca().set_ylim(-0.5, 2.2)

@image_comparison(['not_covering_scatter_transform.png'])

def test_not_covering_scatter_transform():

# Offsets point to top left, the default auto position

offset = mtransforms.Affine2D().translate(-20, 20)

x = np.linspace(0, 30, 1000)

plt.plot(x, x)

plt.scatter([20], [10], transform=offset + plt.gca().transData)

plt.legend(['foo', 'bar'], loc='best')

def test_linecollection_scaled_dashes():

lines1 = [[(0, .5), (.5, 1)], [(.3, .6), (.2, .2)]]

lines2 = [[[0.7, .2], [.8, .4]], [[.5, .7], [.6, .1]]]

lines3 = [[[0.6, .2], [.8, .4]], [[.5, .7], [.1, .1]]]

lc1 = mcollections.LineCollection(lines1, linestyles="--", lw=3)

lc2 = mcollections.LineCollection(lines2, linestyles="-.")

lc3 = mcollections.LineCollection(lines3, linestyles=":", lw=.5)

fig, ax = plt.subplots()

ax.add_collection(lc1)

ax.add_collection(lc2)

ax.add_collection(lc3)

leg = ax.legend([lc1, lc2, lc3], ["line1", "line2", 'line 3'])

h1, h2, h3 = leg.legend_handles

for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):

assert oh.get_linestyles()[0] == lh._dash_pattern

def test_handler_numpoints():

"""Test legend handler with numpoints <= 1."""

# related to #6921 and PR #8478

fig, ax = plt.subplots()

ax.plot(range(5), label='test')

ax.legend(numpoints=0.5)

def test_text_nohandler_warning():

"""Test that Text artists with labels raise a warning"""

fig, ax = plt.subplots()

ax.plot([0], label="mock data")

ax.text(x=0, y=0, s="text", label="label")

with pytest.warns(UserWarning) as record:

ax.legend()

assert len(record) == 1

# this should _not_ warn:

f, ax = plt.subplots()

ax.pcolormesh(np.random.uniform(0, 1, (10, 10)))

with warnings.catch_warnings():

warnings.simplefilter("error")

ax.get_legend_handles_labels()

def test_empty_bar_chart_with_legend():

"""Test legend when bar chart is empty with a label."""

# related to issue #13003. Calling plt.legend() should not

# raise an IndexError.

plt.bar([], [], label='test')

plt.legend()

@image_comparison(['shadow_argument_types.png'], remove_text=True, style='mpl20',

tol=0.028 if platform.machine() == 'arm64' else 0)

def test_shadow_argument_types():

# Test that different arguments for shadow work as expected

fig, ax = plt.subplots()

ax.plot([1, 2, 3], label='test')

# Test various shadow configurations

# as well as different ways of specifying colors

legs = (ax.legend(loc='upper left', shadow=True), # True

ax.legend(loc='upper right', shadow=False), # False

ax.legend(loc='center left', # string

shadow={'color': 'red', 'alpha': 0.1}),

ax.legend(loc='center right', # tuple

shadow={'color': (0.1, 0.2, 0.5), 'oy': -5}),

ax.legend(loc='lower left', # tab

shadow={'color': 'tab:cyan', 'ox': 10})

)

for l in legs:

ax.add_artist(l)

ax.legend(loc='lower right') # default

def test_shadow_invalid_argument():

# Test if invalid argument to legend shadow

# (i.e. not [color|bool]) raises ValueError

fig, ax = plt.subplots()

ax.plot([1, 2, 3], label='test')

with pytest.raises(ValueError, match="dict or bool"):

ax.legend(loc="upper left", shadow="aardvark") # Bad argument

def test_shadow_framealpha():

# Test if framealpha is activated when shadow is True

# and framealpha is not explicitly passed'''

fig, ax = plt.subplots()

ax.plot(range(100), label="test")

leg = ax.legend(shadow=True, facecolor='w')

assert leg.get_frame().get_alpha() == 1

def test_legend_title_empty():

# test that if we don't set the legend title, that

# it comes back as an empty string, and that it is not

# visible:

fig, ax = plt.subplots()

ax.plot(range(10), label="mock data")

leg = ax.legend()

assert leg.get_title().get_text() == ""

assert not leg.get_title().get_visible()

def test_legend_proper_window_extent():

# test that legend returns the expected extent under various dpi...

fig, ax = plt.subplots(dpi=100)

ax.plot(range(10), label='Aardvark')

leg = ax.legend()

x01 = leg.get_window_extent(fig.canvas.get_renderer()).x0

fig, ax = plt.subplots(dpi=200)

ax.plot(range(10), label='Aardvark')

leg = ax.legend()

x02 = leg.get_window_extent(fig.canvas.get_renderer()).x0

assert pytest.approx(x01*2, 0.1) == x02

def test_window_extent_cached_renderer():

fig, ax = plt.subplots(dpi=100)

ax.plot(range(10), label='Aardvark')

leg = ax.legend()

leg2 = fig.legend()

fig.canvas.draw()

# check that get_window_extent will use the cached renderer

leg.get_window_extent()

leg2.get_window_extent()

def test_legend_title_fontprop_fontsize():

# test the title_fontsize kwarg

plt.plot(range(10), label="mock data")

with pytest.raises(ValueError):

plt.legend(title='Aardvark', title_fontsize=22,

title_fontproperties={'family': 'serif', 'size': 22})

leg = plt.legend(title='Aardvark', title_fontproperties=FontProperties(

family='serif', size=22))

assert leg.get_title().get_size() == 22

fig, axes = plt.subplots(2, 3, figsize=(10, 6))

axes = axes.flat

axes[0].plot(range(10), label="mock data")

leg0 = axes[0].legend(title='Aardvark', title_fontsize=22)

assert leg0.get_title().get_fontsize() == 22

axes[1].plot(range(10), label="mock data")

leg1 = axes[1].legend(title='Aardvark',

title_fontproperties={'family': 'serif', 'size': 22})

assert leg1.get_title().get_fontsize() == 22

axes[2].plot(range(10), label="mock data")

mpl.rcParams['legend.title_fontsize'] = None

leg2 = axes[2].legend(title='Aardvark',

title_fontproperties={'family': 'serif'})

assert leg2.get_title().get_fontsize() == mpl.rcParams['font.size']

axes[3].plot(range(10), label="mock data")

leg3 = axes[3].legend(title='Aardvark')

assert leg3.get_title().get_fontsize() == mpl.rcParams['font.size']

axes[4].plot(range(10), label="mock data")

mpl.rcParams['legend.title_fontsize'] = 20

leg4 = axes[4].legend(title='Aardvark',

title_fontproperties={'family': 'serif'})

assert leg4.get_title().get_fontsize() == 20

axes[5].plot(range(10), label="mock data")

leg5 = axes[5].legend(title='Aardvark')

assert leg5.get_title().get_fontsize() == 20

@pytest.mark.parametrize('alignment', ('center', 'left', 'right'))

def test_legend_alignment(alignment):

fig, ax = plt.subplots()

ax.plot(range(10), label='test')

leg = ax.legend(title="Aardvark", alignment=alignment)

assert leg.get_children()[0].align == alignment

assert leg.get_alignment() == alignment

@pytest.mark.parametrize('loc', ('center', 'best',))

def test_ax_legend_set_loc(loc):

fig, ax = plt.subplots()

ax.plot(range(10), label='test')

leg = ax.legend()

leg.set_loc(loc)

assert leg._get_loc() == mlegend.Legend.codes[loc]

@pytest.mark.parametrize('loc', ('outside right', 'right',))

def test_fig_legend_set_loc(loc):

fig, ax = plt.subplots()

ax.plot(range(10), label='test')

leg = fig.legend()

leg.set_loc(loc)

loc = loc.split()[1] if loc.startswith("outside") else loc

assert leg._get_loc() == mlegend.Legend.codes[loc]

@pytest.mark.parametrize('alignment', ('center', 'left', 'right'))

def test_legend_set_alignment(alignment):

fig, ax = plt.subplots()

ax.plot(range(10), label='test')

leg = ax.legend()

leg.set_alignment(alignment)

assert leg.get_children()[0].align == alignment

assert leg.get_alignment() == alignment

@pytest.mark.parametrize('color', ('red', 'none', (.5, .5, .5)))

def test_legend_labelcolor_single(color):

# test labelcolor for a single color

fig, ax = plt.subplots()

ax.plot(np.arange(10), np.arange(10)*1, label='#1')

ax.plot(np.arange(10), np.arange(10)*2, label='#2')

ax.plot(np.arange(10), np.arange(10)*3, label='#3')

leg = ax.legend(labelcolor=color)

for text in leg.get_texts():

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_labelcolor_list():

# test labelcolor for a list of colors

fig, ax = plt.subplots()

ax.plot(np.arange(10), np.arange(10)*1, label='#1')

ax.plot(np.arange(10), np.arange(10)*2, label='#2')

ax.plot(np.arange(10), np.arange(10)*3, label='#3')

leg = ax.legend(labelcolor=['r', 'g', 'b'])

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_labelcolor_linecolor():

# test the labelcolor for labelcolor='linecolor'

fig, ax = plt.subplots()

ax.plot(np.arange(10), np.arange(10)*1, label='#1', color='r')

ax.plot(np.arange(10), np.arange(10)*2, label='#2', color='g')

ax.plot(np.arange(10), np.arange(10)*3, label='#3', color='b')

leg = ax.legend(labelcolor='linecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_linecolor():

# test the labelcolor for labelcolor='linecolor' on PathCollection

fig, ax = plt.subplots()

ax.scatter(np.arange(10), np.arange(10)*1, label='#1', c='r')

ax.scatter(np.arange(10), np.arange(10)*2, label='#2', c='g')

ax.scatter(np.arange(10), np.arange(10)*3, label='#3', c='b')

leg = ax.legend(labelcolor='linecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_linecolor_iterable():

# test the labelcolor for labelcolor='linecolor' on PathCollection

# with iterable colors

fig, ax = plt.subplots()

colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)

ax.scatter(np.arange(10), np.arange(10), label='#1', c=colors)

leg = ax.legend(labelcolor='linecolor')

text, = leg.get_texts()

assert mpl.colors.same_color(text.get_color(), 'black')

def test_legend_pathcollection_labelcolor_linecolor_cmap():

# test the labelcolor for labelcolor='linecolor' on PathCollection

# with a colormap

fig, ax = plt.subplots()

ax.scatter(np.arange(10), np.arange(10), c=np.arange(10), label='#1')

leg = ax.legend(labelcolor='linecolor')

text, = leg.get_texts()

assert mpl.colors.same_color(text.get_color(), 'black')

def test_legend_labelcolor_markeredgecolor():

# test the labelcolor for labelcolor='markeredgecolor'

fig, ax = plt.subplots()

ax.plot(np.arange(10), np.arange(10)*1, label='#1', markeredgecolor='r')

ax.plot(np.arange(10), np.arange(10)*2, label='#2', markeredgecolor='g')

ax.plot(np.arange(10), np.arange(10)*3, label='#3', markeredgecolor='b')

leg = ax.legend(labelcolor='markeredgecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markeredgecolor():

# test the labelcolor for labelcolor='markeredgecolor' on PathCollection

fig, ax = plt.subplots()

ax.scatter(np.arange(10), np.arange(10)*1, label='#1', edgecolor='r')

ax.scatter(np.arange(10), np.arange(10)*2, label='#2', edgecolor='g')

ax.scatter(np.arange(10), np.arange(10)*3, label='#3', edgecolor='b')

leg = ax.legend(labelcolor='markeredgecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markeredgecolor_iterable():

# test the labelcolor for labelcolor='markeredgecolor' on PathCollection

# with iterable colors

fig, ax = plt.subplots()

colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)

ax.scatter(np.arange(10), np.arange(10), label='#1', edgecolor=colors)

leg = ax.legend(labelcolor='markeredgecolor')

for text, color in zip(leg.get_texts(), ['k']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markeredgecolor_cmap():

# test the labelcolor for labelcolor='markeredgecolor' on PathCollection

# with a colormap

fig, ax = plt.subplots()

edgecolors = mpl.cm.viridis(np.random.rand(10))

ax.scatter(

np.arange(10),

np.arange(10),

label='#1',

c=np.arange(10),

edgecolor=edgecolors,

cmap="Reds"

)

leg = ax.legend(labelcolor='markeredgecolor')

for text, color in zip(leg.get_texts(), ['k']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_labelcolor_markerfacecolor():

# test the labelcolor for labelcolor='markerfacecolor'

fig, ax = plt.subplots()

ax.plot(np.arange(10), np.arange(10)*1, label='#1', markerfacecolor='r')

ax.plot(np.arange(10), np.arange(10)*2, label='#2', markerfacecolor='g')

ax.plot(np.arange(10), np.arange(10)*3, label='#3', markerfacecolor='b')

leg = ax.legend(labelcolor='markerfacecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markerfacecolor():

# test the labelcolor for labelcolor='markerfacecolor' on PathCollection

fig, ax = plt.subplots()

ax.scatter(np.arange(10), np.arange(10)*1, label='#1', facecolor='r')

ax.scatter(np.arange(10), np.arange(10)*2, label='#2', facecolor='g')

ax.scatter(np.arange(10), np.arange(10)*3, label='#3', facecolor='b')

leg = ax.legend(labelcolor='markerfacecolor')

for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markerfacecolor_iterable():

# test the labelcolor for labelcolor='markerfacecolor' on PathCollection

# with iterable colors

fig, ax = plt.subplots()

colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)

ax.scatter(np.arange(10), np.arange(10), label='#1', facecolor=colors)

leg = ax.legend(labelcolor='markerfacecolor')

for text, color in zip(leg.get_texts(), ['k']):

assert mpl.colors.same_color(text.get_color(), color)

def test_legend_pathcollection_labelcolor_markfacecolor_cmap():

# test the labelcolor for labelcolor='markerfacecolor' on PathCollection

# with colormaps

fig, ax = plt.subplots()

facecolors = mpl.cm.viridis(np.random.rand(10))

ax.scatter(

np.arange(10),

np.arange(10),

label='#1',

c=np.arange(10),

facecolor=facecolors

)

leg = ax.legend(labelcolor='markerfacecolor')

for text, color in zip(leg.get_texts(), ['k']):

assert mpl.colors.same_color(text.get_color(), color)

@pytest.mark.parametrize('color', ('red', 'none', (.5, .5, .5)))

def test_legend_labelcolor_rcparam_single(color):