/usr/lib/python3/dist-packages/matplotlib/tests/test_artist.py is in python3-matplotlib 1.5.1-1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import warnings
from matplotlib.externals import six
import io
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.lines as mlines
import matplotlib.path as mpath
import matplotlib.transforms as mtrans
import matplotlib.collections as mcollections
from matplotlib.testing.decorators import image_comparison, cleanup
from nose.tools import (assert_true, assert_false)
@cleanup
def test_patch_transform_of_none():
# tests the behaviour of patches added to an Axes with various transform
# specifications
ax = plt.axes()
ax.set_xlim([1, 3])
ax.set_ylim([1, 3])
# Draw an ellipse over data coord (2,2) by specifying device coords.
xy_data = (2, 2)
xy_pix = ax.transData.transform_point(xy_data)
# Not providing a transform of None puts the ellipse in data coordinates .
e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
ax.add_patch(e)
assert e._transform == ax.transData
# Providing a transform of None puts the ellipse in device coordinates.
e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
transform=None, alpha=0.5)
assert e.is_transform_set() is True
ax.add_patch(e)
assert isinstance(e._transform, mtrans.IdentityTransform)
# Providing an IdentityTransform puts the ellipse in device coordinates.
e = mpatches.Ellipse(xy_pix, width=100, height=100,
transform=mtrans.IdentityTransform(), alpha=0.5)
ax.add_patch(e)
assert isinstance(e._transform, mtrans.IdentityTransform)
# Not providing a transform, and then subsequently "get_transform" should
# not mean that "is_transform_set".
e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
alpha=0.5)
intermediate_transform = e.get_transform()
assert e.is_transform_set() is False
ax.add_patch(e)
assert e.get_transform() != intermediate_transform
assert e.is_transform_set() is True
assert e._transform == ax.transData
@cleanup
def test_collection_transform_of_none():
# tests the behaviour of collections added to an Axes with various
# transform specifications
ax = plt.axes()
ax.set_xlim([1, 3])
ax.set_ylim([1, 3])
#draw an ellipse over data coord (2,2) by specifying device coords
xy_data = (2, 2)
xy_pix = ax.transData.transform_point(xy_data)
# not providing a transform of None puts the ellipse in data coordinates
e = mpatches.Ellipse(xy_data, width=1, height=1)
c = mcollections.PatchCollection([e], facecolor='yellow', alpha=0.5)
ax.add_collection(c)
# the collection should be in data coordinates
assert c.get_offset_transform() + c.get_transform() == ax.transData
# providing a transform of None puts the ellipse in device coordinates
e = mpatches.Ellipse(xy_pix, width=120, height=120)
c = mcollections.PatchCollection([e], facecolor='coral',
alpha=0.5)
c.set_transform(None)
ax.add_collection(c)
assert isinstance(c.get_transform(), mtrans.IdentityTransform)
# providing an IdentityTransform puts the ellipse in device coordinates
e = mpatches.Ellipse(xy_pix, width=100, height=100)
c = mcollections.PatchCollection([e], transform=mtrans.IdentityTransform(),
alpha=0.5)
ax.add_collection(c)
assert isinstance(c._transOffset, mtrans.IdentityTransform)
@image_comparison(baseline_images=["clip_path_clipping"], remove_text=True)
def test_clipping():
exterior = mpath.Path.unit_rectangle().deepcopy()
exterior.vertices *= 4
exterior.vertices -= 2
interior = mpath.Path.unit_circle().deepcopy()
interior.vertices = interior.vertices[::-1]
clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
interior.vertices]),
codes=np.concatenate([exterior.codes,
interior.codes]))
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6
ax1 = plt.subplot(121)
col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)
ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
ax2.add_patch(patch)
ax1.set_xlim([-3, 3])
ax1.set_ylim([-3, 3])
@cleanup
def test_cull_markers():
x = np.random.random(20000)
y = np.random.random(20000)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, 'k.')
ax.set_xlim(2, 3)
pdf = io.BytesIO()
fig.savefig(pdf, format="pdf")
assert len(pdf.getvalue()) < 8000
svg = io.BytesIO()
fig.savefig(svg, format="svg")
assert len(svg.getvalue()) < 20000
@cleanup
def test_remove():
fig, ax = plt.subplots()
im = ax.imshow(np.arange(36).reshape(6, 6))
ln, = ax.plot(range(5))
assert_true(fig.stale)
assert_true(ax.stale)
fig.canvas.draw()
assert_false(fig.stale)
assert_false(ax.stale)
assert_false(ln.stale)
assert_true(im in ax.mouseover_set)
assert_true(ln not in ax.mouseover_set)
assert_true(im.axes is ax)
im.remove()
ln.remove()
for art in [im, ln]:
assert_true(art.axes is None)
assert_true(art.figure is None)
assert_true(im not in ax.mouseover_set)
assert_true(fig.stale)
assert_true(ax.stale)
@cleanup
def test_properties():
ln = mlines.Line2D([], [])
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
ln.properties()
assert len(w) == 0
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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