/usr/lib/python3/dist-packages/matplotlib/tests/test_legend.py is in python3-matplotlib 2.0.0+dfsg1-2.
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unicode_literals)
import six
from six.moves import xrange
try:
# mock in python 3.3+
from unittest import mock
except ImportError:
import mock
from nose.tools import assert_equal
import numpy as np
from matplotlib.testing.decorators import image_comparison, cleanup
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.transforms as mtrans
import matplotlib.collections as mcollections
@image_comparison(baseline_images=['legend_auto1'], remove_text=True)
def test_legend_auto1():
'Test automatic legend placement'
fig = plt.figure()
ax = fig.add_subplot(111)
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=0)
@image_comparison(baseline_images=['legend_auto2'], remove_text=True)
def test_legend_auto2():
'Test automatic legend placement'
fig = plt.figure()
ax = fig.add_subplot(111)
x = np.arange(100)
b1 = ax.bar(x, x, color='m')
b2 = ax.bar(x, x[::-1], color='g')
ax.legend([b1[0], b2[0]], ['up', 'down'], loc=0)
@image_comparison(baseline_images=['legend_auto3'])
def test_legend_auto3():
'Test automatic legend placement'
fig = plt.figure()
ax = fig.add_subplot(111)
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=0)
@image_comparison(baseline_images=['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(list(xrange(4)), 'o', label=1)
ax.plot(np.linspace(4, 4.1), 'o', label='D\xe9velopp\xe9s')
ax.plot(list(xrange(4, 1, -1)), 'o', label='__nolegend__')
ax.legend(numpoints=1, loc=0)
@image_comparison(baseline_images=['legend_labels_first'], extensions=['png'],
remove_text=True)
def test_labels_first():
# test labels to left of markers
fig = plt.figure()
ax = fig.add_subplot(111)
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=0, markerfirst=False)
@image_comparison(baseline_images=['rgba_alpha'],
extensions=['png'], remove_text=True)
def test_alpha_rgba():
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1)
ax.plot(range(10), lw=5)
leg = plt.legend(['Longlabel that will go away'], loc=10)
leg.legendPatch.set_facecolor([1, 0, 0, 0.5])
@image_comparison(baseline_images=['rcparam_alpha'],
extensions=['png'], remove_text=True)
def test_alpha_rcparam():
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1)
ax.plot(range(10), lw=5)
with mpl.rc_context(rc={'legend.framealpha': .75}):
leg = plt.legend(['Longlabel that will go away'], loc=10)
# this alpha is going to be over-ridden by the rcparam whith
# 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(baseline_images=['fancy'], remove_text=True)
def test_fancy():
# using subplot triggers some offsetbox functionality untested elsewhere
plt.subplot(121)
plt.scatter(list(xrange(10)), list(xrange(10, 0, -1)), label='XX\nXX')
plt.plot([5] * 10, 'o--', label='XX')
plt.errorbar(list(xrange(10)), list(xrange(10)), xerr=0.5,
yerr=0.5, label='XX')
plt.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
ncol=2, shadow=True, title="My legend", numpoints=1)
@image_comparison(baseline_images=['framealpha'], remove_text=True)
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(baseline_images=['scatter_rc3', 'scatter_rc1'],
remove_text=True)
def test_rc():
# using subplot triggers some offsetbox functionality untested elsewhere
fig = plt.figure()
ax = plt.subplot(121)
ax.scatter(list(xrange(10)), list(xrange(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
fig = plt.figure()
ax = plt.subplot(121)
ax.scatter(list(xrange(10)), list(xrange(10, 0, -1)), label='one')
ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
title="My legend")
@image_comparison(baseline_images=['legend_expand'], remove_text=True)
def test_legend_expand():
'Test expand mode'
legend_modes = [None, "expand"]
fig, axes_list = plt.subplots(len(legend_modes), 1)
x = np.arange(100)
for ax, mode in zip(axes_list, legend_modes):
ax.plot(x, 50 - x, 'o', label='y=1')
l1 = ax.legend(loc=2, mode=mode)
ax.add_artist(l1)
ax.plot(x, x - 50, 'o', label='y=-1')
l2 = ax.legend(loc=5, mode=mode)
ax.add_artist(l2)
ax.legend(loc=3, mode=mode, ncol=2)
@cleanup
def test_legend_remove():
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
lines = ax.plot(range(10))
leg = fig.legend(lines, "test")
leg.remove()
assert_equal(fig.legends, [])
leg = ax.legend("test")
leg.remove()
assert ax.get_legend() is None
class TestLegendFunction(object):
# Tests the legend function on the Axes and pyplot.
@cleanup
def test_legend_handle_label(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'])
@cleanup
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'])
@cleanup
def test_legend_label_args(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'])
@cleanup
def test_legend_handler_map(self):
lines = plt.plot(range(10), label='hello world')
with mock.patch('matplotlib.axes.Axes.'
'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({'1': 2})
@cleanup
def test_kwargs(self):
fig, ax = plt.subplots(1, 1)
th = np.linspace(0, 2*np.pi, 1024)
lns, = ax.plot(th, np.sin(th), label='sin', lw=5)
lnc, = ax.plot(th, np.cos(th), label='cos', lw=5)
with mock.patch('matplotlib.legend.Legend') as Legend:
ax.legend(handles=(lnc, lns), labels=('a', 'b'))
Legend.assert_called_with(ax, (lnc, lns), ('a', 'b'))
@cleanup
def test_warn_args_kwargs(self):
fig, ax = plt.subplots(1, 1)
th = np.linspace(0, 2*np.pi, 1024)
lns, = ax.plot(th, np.sin(th), label='sin', lw=5)
lnc, = ax.plot(th, np.cos(th), label='cos', lw=5)
with mock.patch('warnings.warn') as warn:
ax.legend((lnc, lns), labels=('a', 'b'))
warn.assert_called_with("You have mixed positional and keyword "
"arguments, some input will be "
"discarded.")
@image_comparison(baseline_images=['legend_stackplot'], extensions=['png'])
def test_legend_stackplot():
'''test legend for PolyCollection using stackplot'''
# related to #1341, #1943, and PR #3303
fig = plt.figure()
ax = fig.add_subplot(111)
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=0)
@cleanup
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')
@cleanup
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)
@image_comparison(baseline_images=['not_covering_scatter'], extensions=['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(baseline_images=['not_covering_scatter_transform'],
extensions=['png'])
def test_not_covering_scatter_transform():
# Offsets point to top left, the default auto position
offset = mtrans.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')
@cleanup
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.legendHandles
for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):
assert oh.get_linestyles()[0][1] == lh._dashSeq
assert oh.get_linestyles()[0][0] == lh._dashOffset
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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