644 lines
22 KiB
Python
644 lines
22 KiB
Python
import collections
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import platform
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from unittest import mock
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import numpy as np
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import pytest
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.pyplot as plt
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import matplotlib as mpl
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import matplotlib.transforms as mtransforms
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import matplotlib.collections as mcollections
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from matplotlib.legend_handler import HandlerTuple
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import matplotlib.legend as mlegend
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from matplotlib import rc_context
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def test_legend_ordereddict():
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# smoketest that ordereddict inputs work...
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X = np.random.randn(10)
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Y = np.random.randn(10)
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labels = ['a'] * 5 + ['b'] * 5
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colors = ['r'] * 5 + ['g'] * 5
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fig, ax = plt.subplots()
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for x, y, label, color in zip(X, Y, labels, colors):
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ax.scatter(x, y, label=label, c=color)
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handles, labels = ax.get_legend_handles_labels()
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legend = collections.OrderedDict(zip(labels, handles))
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ax.legend(legend.values(), legend.keys(),
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loc='center left', bbox_to_anchor=(1, .5))
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@image_comparison(['legend_auto1'], remove_text=True)
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def test_legend_auto1():
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"""Test automatic legend placement"""
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fig = plt.figure()
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ax = fig.add_subplot(111)
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x = np.arange(100)
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ax.plot(x, 50 - x, 'o', label='y=1')
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ax.plot(x, x - 50, 'o', label='y=-1')
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ax.legend(loc='best')
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@image_comparison(['legend_auto2'], remove_text=True)
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def test_legend_auto2():
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"""Test automatic legend placement"""
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fig = plt.figure()
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ax = fig.add_subplot(111)
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x = np.arange(100)
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b1 = ax.bar(x, x, align='edge', color='m')
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b2 = ax.bar(x, x[::-1], align='edge', color='g')
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ax.legend([b1[0], b2[0]], ['up', 'down'], loc='best')
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@image_comparison(['legend_auto3'])
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def test_legend_auto3():
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"""Test automatic legend placement"""
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fig = plt.figure()
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ax = fig.add_subplot(111)
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x = [0.9, 0.1, 0.1, 0.9, 0.9, 0.5]
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y = [0.95, 0.95, 0.05, 0.05, 0.5, 0.5]
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ax.plot(x, y, 'o-', label='line')
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ax.set_xlim(0.0, 1.0)
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ax.set_ylim(0.0, 1.0)
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ax.legend(loc='best')
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@image_comparison(['legend_various_labels'], remove_text=True)
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def test_various_labels():
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# tests all sorts of label types
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fig = plt.figure()
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ax = fig.add_subplot(121)
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ax.plot(np.arange(4), 'o', label=1)
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ax.plot(np.linspace(4, 4.1), 'o', label='Développés')
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ax.plot(np.arange(4, 1, -1), 'o', label='__nolegend__')
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ax.legend(numpoints=1, loc='best')
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@image_comparison(['legend_labels_first.png'], remove_text=True)
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def test_labels_first():
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# test labels to left of markers
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot(np.arange(10), '-o', label=1)
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ax.plot(np.ones(10)*5, ':x', label="x")
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ax.plot(np.arange(20, 10, -1), 'd', label="diamond")
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ax.legend(loc='best', markerfirst=False)
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@image_comparison(['legend_multiple_keys.png'], remove_text=True)
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def test_multiple_keys():
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# test legend entries with multiple keys
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fig = plt.figure()
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ax = fig.add_subplot(111)
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p1, = ax.plot([1, 2, 3], '-o')
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p2, = ax.plot([2, 3, 4], '-x')
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p3, = ax.plot([3, 4, 5], '-d')
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ax.legend([(p1, p2), (p2, p1), p3], ['two keys', 'pad=0', 'one key'],
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numpoints=1,
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handler_map={(p1, p2): HandlerTuple(ndivide=None),
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(p2, p1): HandlerTuple(ndivide=None, pad=0)})
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@image_comparison(['rgba_alpha.png'], remove_text=True,
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tol=0 if platform.machine() == 'x86_64' else 0.01)
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def test_alpha_rgba():
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fig, ax = plt.subplots(1, 1)
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ax.plot(range(10), lw=5)
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leg = plt.legend(['Longlabel that will go away'], loc='center')
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leg.legendPatch.set_facecolor([1, 0, 0, 0.5])
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@image_comparison(['rcparam_alpha.png'], remove_text=True,
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tol=0 if platform.machine() == 'x86_64' else 0.01)
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def test_alpha_rcparam():
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fig, ax = plt.subplots(1, 1)
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ax.plot(range(10), lw=5)
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with mpl.rc_context(rc={'legend.framealpha': .75}):
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leg = plt.legend(['Longlabel that will go away'], loc='center')
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# this alpha is going to be over-ridden by the rcparam with
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# sets the alpha of the patch to be non-None which causes the alpha
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# value of the face color to be discarded. This behavior may not be
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# ideal, but it is what it is and we should keep track of it changing
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leg.legendPatch.set_facecolor([1, 0, 0, 0.5])
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@image_comparison(['fancy'], remove_text=True)
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def test_fancy():
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# using subplot triggers some offsetbox functionality untested elsewhere
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plt.subplot(121)
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plt.scatter(np.arange(10), np.arange(10, 0, -1), label='XX\nXX')
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plt.plot([5] * 10, 'o--', label='XX')
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plt.errorbar(np.arange(10), np.arange(10), xerr=0.5,
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yerr=0.5, label='XX')
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plt.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
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ncol=2, shadow=True, title="My legend", numpoints=1)
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@image_comparison(['framealpha'], remove_text=True,
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tol=0 if platform.machine() == 'x86_64' else 0.02)
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def test_framealpha():
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x = np.linspace(1, 100, 100)
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y = x
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plt.plot(x, y, label='mylabel', lw=10)
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plt.legend(framealpha=0.5)
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@image_comparison(['scatter_rc3', 'scatter_rc1'], remove_text=True)
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def test_rc():
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# using subplot triggers some offsetbox functionality untested elsewhere
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plt.figure()
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ax = plt.subplot(121)
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ax.scatter(np.arange(10), np.arange(10, 0, -1), label='three')
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ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
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title="My legend")
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mpl.rcParams['legend.scatterpoints'] = 1
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plt.figure()
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ax = plt.subplot(121)
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ax.scatter(np.arange(10), np.arange(10, 0, -1), label='one')
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ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
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title="My legend")
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@image_comparison(['legend_expand'], remove_text=True)
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def test_legend_expand():
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"""Test expand mode"""
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legend_modes = [None, "expand"]
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fig, axes_list = plt.subplots(len(legend_modes), 1)
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x = np.arange(100)
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for ax, mode in zip(axes_list, legend_modes):
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ax.plot(x, 50 - x, 'o', label='y=1')
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l1 = ax.legend(loc='upper left', mode=mode)
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ax.add_artist(l1)
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ax.plot(x, x - 50, 'o', label='y=-1')
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l2 = ax.legend(loc='right', mode=mode)
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ax.add_artist(l2)
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ax.legend(loc='lower left', mode=mode, ncol=2)
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@image_comparison(['hatching'], remove_text=True, style='default')
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def test_hatching():
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# Remove this line when this test image is regenerated.
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plt.rcParams['text.kerning_factor'] = 6
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fig, ax = plt.subplots()
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# Patches
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patch = plt.Rectangle((0, 0), 0.3, 0.3, hatch='xx',
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label='Patch\ndefault color\nfilled')
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ax.add_patch(patch)
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patch = plt.Rectangle((0.33, 0), 0.3, 0.3, hatch='||', edgecolor='C1',
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label='Patch\nexplicit color\nfilled')
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ax.add_patch(patch)
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patch = plt.Rectangle((0, 0.4), 0.3, 0.3, hatch='xx', fill=False,
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label='Patch\ndefault color\nunfilled')
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ax.add_patch(patch)
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patch = plt.Rectangle((0.33, 0.4), 0.3, 0.3, hatch='||', fill=False,
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edgecolor='C1',
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label='Patch\nexplicit color\nunfilled')
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ax.add_patch(patch)
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# Paths
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ax.fill_between([0, .15, .3], [.8, .8, .8], [.9, 1.0, .9],
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hatch='+', label='Path\ndefault color')
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ax.fill_between([.33, .48, .63], [.8, .8, .8], [.9, 1.0, .9],
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hatch='+', edgecolor='C2', label='Path\nexplicit color')
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ax.set_xlim(-0.01, 1.1)
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ax.set_ylim(-0.01, 1.1)
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ax.legend(handlelength=4, handleheight=4)
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def test_legend_remove():
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fig = plt.figure()
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ax = fig.add_subplot(1, 1, 1)
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lines = ax.plot(range(10))
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leg = fig.legend(lines, "test")
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leg.remove()
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assert fig.legends == []
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leg = ax.legend("test")
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leg.remove()
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assert ax.get_legend() is None
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class TestLegendFunction:
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# Tests the legend function on the Axes and pyplot.
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def test_legend_handle_label(self):
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lines = plt.plot(range(10))
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with mock.patch('matplotlib.legend.Legend') as Legend:
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plt.legend(lines, ['hello world'])
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Legend.assert_called_with(plt.gca(), lines, ['hello world'])
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def test_legend_handles_only(self):
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lines = plt.plot(range(10))
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with pytest.raises(TypeError, match='but found an Artist'):
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# a single arg is interpreted as labels
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# it's a common error to just pass handles
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plt.legend(lines)
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def test_legend_no_args(self):
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lines = plt.plot(range(10), label='hello world')
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with mock.patch('matplotlib.legend.Legend') as Legend:
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plt.legend()
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Legend.assert_called_with(plt.gca(), lines, ['hello world'])
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def test_legend_label_args(self):
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lines = plt.plot(range(10), label='hello world')
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with mock.patch('matplotlib.legend.Legend') as Legend:
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plt.legend(['foobar'])
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Legend.assert_called_with(plt.gca(), lines, ['foobar'])
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def test_legend_three_args(self):
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lines = plt.plot(range(10), label='hello world')
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with mock.patch('matplotlib.legend.Legend') as Legend:
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plt.legend(lines, ['foobar'], loc='right')
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Legend.assert_called_with(plt.gca(), lines, ['foobar'], loc='right')
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def test_legend_handler_map(self):
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lines = plt.plot(range(10), label='hello world')
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with mock.patch('matplotlib.legend.'
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'_get_legend_handles_labels') as handles_labels:
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handles_labels.return_value = lines, ['hello world']
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plt.legend(handler_map={'1': 2})
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handles_labels.assert_called_with([plt.gca()], {'1': 2})
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def test_kwargs(self):
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fig, ax = plt.subplots(1, 1)
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th = np.linspace(0, 2*np.pi, 1024)
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lns, = ax.plot(th, np.sin(th), label='sin', lw=5)
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lnc, = ax.plot(th, np.cos(th), label='cos', lw=5)
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with mock.patch('matplotlib.legend.Legend') as Legend:
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ax.legend(labels=('a', 'b'), handles=(lnc, lns))
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Legend.assert_called_with(ax, (lnc, lns), ('a', 'b'))
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def test_warn_args_kwargs(self):
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fig, ax = plt.subplots(1, 1)
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th = np.linspace(0, 2*np.pi, 1024)
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lns, = ax.plot(th, np.sin(th), label='sin', lw=5)
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lnc, = ax.plot(th, np.cos(th), label='cos', lw=5)
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with pytest.warns(UserWarning) as record:
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ax.legend((lnc, lns), labels=('a', 'b'))
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assert len(record) == 1
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assert str(record[0].message) == (
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"You have mixed positional and keyword arguments, some input may "
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"be discarded.")
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def test_parasite(self):
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from mpl_toolkits.axes_grid1 import host_subplot
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host = host_subplot(111)
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par = host.twinx()
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p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
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p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")
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with mock.patch('matplotlib.legend.Legend') as Legend:
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plt.legend()
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Legend.assert_called_with(host, [p1, p2], ['Density', 'Temperature'])
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class TestLegendFigureFunction:
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# Tests the legend function for figure
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def test_legend_handle_label(self):
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fig, ax = plt.subplots()
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lines = ax.plot(range(10))
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with mock.patch('matplotlib.legend.Legend') as Legend:
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fig.legend(lines, ['hello world'])
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Legend.assert_called_with(fig, lines, ['hello world'],
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bbox_transform=fig.transFigure)
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def test_legend_no_args(self):
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fig, ax = plt.subplots()
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lines = ax.plot(range(10), label='hello world')
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with mock.patch('matplotlib.legend.Legend') as Legend:
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fig.legend()
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Legend.assert_called_with(fig, lines, ['hello world'],
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bbox_transform=fig.transFigure)
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def test_legend_label_arg(self):
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fig, ax = plt.subplots()
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lines = ax.plot(range(10))
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with mock.patch('matplotlib.legend.Legend') as Legend:
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fig.legend(['foobar'])
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Legend.assert_called_with(fig, lines, ['foobar'],
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bbox_transform=fig.transFigure)
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def test_legend_label_three_args(self):
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fig, ax = plt.subplots()
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lines = ax.plot(range(10))
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with mock.patch('matplotlib.legend.Legend') as Legend:
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fig.legend(lines, ['foobar'], 'right')
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Legend.assert_called_with(fig, lines, ['foobar'], 'right',
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bbox_transform=fig.transFigure)
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def test_legend_label_three_args_pluskw(self):
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# test that third argument and loc= called together give
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# Exception
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fig, ax = plt.subplots()
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lines = ax.plot(range(10))
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with pytest.raises(Exception):
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fig.legend(lines, ['foobar'], 'right', loc='left')
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def test_legend_kw_args(self):
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fig, axs = plt.subplots(1, 2)
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lines = axs[0].plot(range(10))
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lines2 = axs[1].plot(np.arange(10) * 2.)
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with mock.patch('matplotlib.legend.Legend') as Legend:
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fig.legend(loc='right', labels=('a', 'b'), handles=(lines, lines2))
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Legend.assert_called_with(
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fig, (lines, lines2), ('a', 'b'), loc='right',
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bbox_transform=fig.transFigure)
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def test_warn_args_kwargs(self):
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fig, axs = plt.subplots(1, 2)
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lines = axs[0].plot(range(10))
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lines2 = axs[1].plot(np.arange(10) * 2.)
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with pytest.warns(UserWarning) as record:
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fig.legend((lines, lines2), labels=('a', 'b'))
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assert len(record) == 1
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assert str(record[0].message) == (
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"You have mixed positional and keyword arguments, some input may "
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"be discarded.")
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@image_comparison(['legend_stackplot.png'])
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def test_legend_stackplot():
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"""Test legend for PolyCollection using stackplot."""
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# related to #1341, #1943, and PR #3303
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fig = plt.figure()
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ax = fig.add_subplot(111)
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x = np.linspace(0, 10, 10)
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y1 = 1.0 * x
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y2 = 2.0 * x + 1
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y3 = 3.0 * x + 2
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ax.stackplot(x, y1, y2, y3, labels=['y1', 'y2', 'y3'])
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ax.set_xlim((0, 10))
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ax.set_ylim((0, 70))
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ax.legend(loc='best')
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def test_cross_figure_patch_legend():
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fig, ax = plt.subplots()
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fig2, ax2 = plt.subplots()
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brs = ax.bar(range(3), range(3))
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fig2.legend(brs, 'foo')
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def test_nanscatter():
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fig, ax = plt.subplots()
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h = ax.scatter([np.nan], [np.nan], marker="o",
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facecolor="r", edgecolor="r", s=3)
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ax.legend([h], ["scatter"])
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fig, ax = plt.subplots()
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for color in ['red', 'green', 'blue']:
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n = 750
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x, y = np.random.rand(2, n)
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scale = 200.0 * np.random.rand(n)
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ax.scatter(x, y, c=color, s=scale, label=color,
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alpha=0.3, edgecolors='none')
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ax.legend()
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ax.grid(True)
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def test_legend_repeatcheckok():
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fig, ax = plt.subplots()
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ax.scatter(0.0, 1.0, color='k', marker='o', label='test')
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ax.scatter(0.5, 0.0, color='r', marker='v', label='test')
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ax.legend()
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hand, lab = mlegend._get_legend_handles_labels([ax])
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assert len(lab) == 2
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fig, ax = plt.subplots()
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ax.scatter(0.0, 1.0, color='k', marker='o', label='test')
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ax.scatter(0.5, 0.0, color='k', marker='v', label='test')
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ax.legend()
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hand, lab = mlegend._get_legend_handles_labels([ax])
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assert len(lab) == 2
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@image_comparison(['not_covering_scatter.png'])
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def test_not_covering_scatter():
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colors = ['b', 'g', 'r']
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for n in range(3):
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plt.scatter([n], [n], color=colors[n])
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plt.legend(['foo', 'foo', 'foo'], loc='best')
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plt.gca().set_xlim(-0.5, 2.2)
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plt.gca().set_ylim(-0.5, 2.2)
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@image_comparison(['not_covering_scatter_transform.png'])
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def test_not_covering_scatter_transform():
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# Offsets point to top left, the default auto position
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offset = mtransforms.Affine2D().translate(-20, 20)
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x = np.linspace(0, 30, 1000)
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plt.plot(x, x)
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plt.scatter([20], [10], transform=offset + plt.gca().transData)
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plt.legend(['foo', 'bar'], loc='best')
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def test_linecollection_scaled_dashes():
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lines1 = [[(0, .5), (.5, 1)], [(.3, .6), (.2, .2)]]
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lines2 = [[[0.7, .2], [.8, .4]], [[.5, .7], [.6, .1]]]
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lines3 = [[[0.6, .2], [.8, .4]], [[.5, .7], [.1, .1]]]
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lc1 = mcollections.LineCollection(lines1, linestyles="--", lw=3)
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lc2 = mcollections.LineCollection(lines2, linestyles="-.")
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lc3 = mcollections.LineCollection(lines3, linestyles=":", lw=.5)
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fig, ax = plt.subplots()
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ax.add_collection(lc1)
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ax.add_collection(lc2)
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ax.add_collection(lc3)
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leg = ax.legend([lc1, lc2, lc3], ["line1", "line2", 'line 3'])
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h1, h2, h3 = leg.legendHandles
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for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):
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assert oh.get_linestyles()[0][1] == lh._dashSeq
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assert oh.get_linestyles()[0][0] == lh._dashOffset
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def test_handler_numpoints():
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"""Test legend handler with numpoints <= 1."""
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# related to #6921 and PR #8478
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fig, ax = plt.subplots()
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ax.plot(range(5), label='test')
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ax.legend(numpoints=0.5)
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|
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def test_empty_bar_chart_with_legend():
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"""Test legend when bar chart is empty with a label."""
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# related to issue #13003. Calling plt.legend() should not
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# raise an IndexError.
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plt.bar([], [], label='test')
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plt.legend()
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def test_shadow_framealpha():
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# Test if framealpha is activated when shadow is True
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# and framealpha is not explicitly passed'''
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fig, ax = plt.subplots()
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ax.plot(range(100), label="test")
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leg = ax.legend(shadow=True, facecolor='w')
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assert leg.get_frame().get_alpha() == 1
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|
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def test_legend_title_empty():
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# test that if we don't set the legend title, that
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# it comes back as an empty string, and that it is not
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# visible:
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fig, ax = plt.subplots()
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ax.plot(range(10))
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leg = ax.legend()
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assert leg.get_title().get_text() == ""
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assert not leg.get_title().get_visible()
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|
|
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def test_legend_proper_window_extent():
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# test that legend returns the expected extent under various dpi...
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fig, ax = plt.subplots(dpi=100)
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ax.plot(range(10), label='Aardvark')
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|
leg = ax.legend()
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x01 = leg.get_window_extent(fig.canvas.get_renderer()).x0
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|
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fig, ax = plt.subplots(dpi=200)
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ax.plot(range(10), label='Aardvark')
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leg = ax.legend()
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x02 = leg.get_window_extent(fig.canvas.get_renderer()).x0
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assert pytest.approx(x01*2, 0.1) == x02
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|
|
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|
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def test_window_extent_cached_renderer():
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|
fig, ax = plt.subplots(dpi=100)
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|
ax.plot(range(10), label='Aardvark')
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|
leg = ax.legend()
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|
leg2 = fig.legend()
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|
fig.canvas.draw()
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|
# check that get_window_extent will use the cached renderer
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|
leg.get_window_extent()
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|
leg2.get_window_extent()
|
|
|
|
|
|
def test_legend_title_fontsize():
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|
# test the title_fontsize kwarg
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|
fig, ax = plt.subplots()
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|
ax.plot(range(10))
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|
leg = ax.legend(title='Aardvark', title_fontsize=22)
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|
assert leg.get_title().get_fontsize() == 22
|
|
|
|
|
|
def test_legend_labelcolor_single():
|
|
# test labelcolor for a single color
|
|
fig, ax = plt.subplots()
|
|
ax.plot(np.arange(10), np.arange(10)*1, label='#1')
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|
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='red')
|
|
for text in leg.get_texts():
|
|
assert mpl.colors.same_color(text.get_color(), 'red')
|
|
|
|
|
|
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_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_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_get_set_draggable():
|
|
legend = plt.legend()
|
|
assert not legend.get_draggable()
|
|
legend.set_draggable(True)
|
|
assert legend.get_draggable()
|
|
legend.set_draggable(False)
|
|
assert not legend.get_draggable()
|
|
|
|
|
|
def test_alpha_handles():
|
|
x, n, hh = plt.hist([1, 2, 3], alpha=0.25, label='data', color='red')
|
|
legend = plt.legend()
|
|
for lh in legend.legendHandles:
|
|
lh.set_alpha(1.0)
|
|
assert lh.get_facecolor()[:-1] == hh[1].get_facecolor()[:-1]
|
|
assert lh.get_edgecolor()[:-1] == hh[1].get_edgecolor()[:-1]
|
|
|
|
|
|
def test_warn_big_data_best_loc():
|
|
fig, ax = plt.subplots()
|
|
fig.canvas.draw() # So that we can call draw_artist later.
|
|
for idx in range(1000):
|
|
ax.plot(np.arange(5000), label=idx)
|
|
with rc_context({'legend.loc': 'best'}):
|
|
legend = ax.legend()
|
|
with pytest.warns(UserWarning) as records:
|
|
fig.draw_artist(legend) # Don't bother drawing the lines -- it's slow.
|
|
# The _find_best_position method of Legend is called twice, duplicating
|
|
# the warning message.
|
|
assert len(records) == 2
|
|
for record in records:
|
|
assert str(record.message) == (
|
|
'Creating legend with loc="best" can be slow with large '
|
|
'amounts of data.')
|
|
|
|
|
|
def test_no_warn_big_data_when_loc_specified():
|
|
fig, ax = plt.subplots()
|
|
fig.canvas.draw()
|
|
for idx in range(1000):
|
|
ax.plot(np.arange(5000), label=idx)
|
|
legend = ax.legend('best')
|
|
fig.draw_artist(legend) # Check that no warning is emitted.
|