/usr/lib/python3/dist-packages/matplotlib/tests/test_path.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 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
import numpy as np
from matplotlib.path import Path
from matplotlib.patches import Polygon
from nose.tools import assert_raises, assert_equal
from matplotlib.testing.decorators import image_comparison
import matplotlib.pyplot as plt
from matplotlib import transforms
def test_readonly_path():
path = Path.unit_circle()
def modify_vertices():
path.vertices = path.vertices * 2.0
assert_raises(AttributeError, modify_vertices)
def test_point_in_path():
# Test #1787
verts2 = [(0, 0), (0, 1), (1, 1), (1, 0), (0, 0)]
path = Path(verts2, closed=True)
points = [(0.5, 0.5), (1.5, 0.5)]
assert np.all(path.contains_points(points) == [True, False])
def test_contains_points_negative_radius():
path = Path.unit_circle()
points = [(0.0, 0.0), (1.25, 0.0), (0.9, 0.9)]
expected = [True, False, False]
result = path.contains_points(points, radius=-0.5)
assert result.dtype == np.bool
assert np.all(result == expected)
@image_comparison(baseline_images=['path_clipping'],
extensions=['svg'], remove_text=True)
def test_path_clipping():
fig = plt.figure(figsize=(6.0, 6.2))
for i, xy in enumerate([
[(200, 200), (200, 350), (400, 350), (400, 200)],
[(200, 200), (200, 350), (400, 350), (400, 100)],
[(200, 100), (200, 350), (400, 350), (400, 100)],
[(200, 100), (200, 415), (400, 350), (400, 100)],
[(200, 100), (200, 415), (400, 415), (400, 100)],
[(200, 415), (400, 415), (400, 100), (200, 100)],
[(400, 415), (400, 100), (200, 100), (200, 415)]]):
ax = fig.add_subplot(4, 2, i+1)
bbox = [0, 140, 640, 260]
ax.set_xlim(bbox[0], bbox[0] + bbox[2])
ax.set_ylim(bbox[1], bbox[1] + bbox[3])
ax.add_patch(Polygon(
xy, facecolor='none', edgecolor='red', closed=True))
def test_point_in_path_nan():
box = np.array([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
p = Path(box)
test = np.array([[np.nan, 0.5]])
contains = p.contains_points(test)
assert len(contains) == 1
assert not contains[0]
@image_comparison(baseline_images=['semi_log_with_zero'], extensions=['png'])
def test_log_transform_with_zero():
x = np.arange(-10, 10)
y = (1.0 - 1.0/(x**2+1))**20
fig, ax = plt.subplots()
ax.semilogy(x, y, "-o", lw=15)
ax.grid(True)
def test_make_compound_path_empty():
# We should be able to make a compound path with no arguments.
# This makes it easier to write generic path based code.
r = Path.make_compound_path()
assert_equal(r.vertices.shape, (0, 2))
@image_comparison(baseline_images=['xkcd'], remove_text=True)
def test_xkcd():
x = np.linspace(0, 2.0 * np.pi, 100.0)
y = np.sin(x)
with plt.xkcd():
fig, ax = plt.subplots()
ax.plot(x, y)
@image_comparison(baseline_images=['marker_paths'], extensions=['pdf'],
remove_text=True)
def test_marker_paths_pdf():
N = 7
plt.errorbar(np.arange(N),
np.ones(N) + 4,
np.ones(N))
plt.xlim(-1, N)
plt.ylim(-1, 7)
def test_path_no_doubled_point_in_to_polygon():
hand = np.array(
[[1.64516129, 1.16145833],
[1.64516129, 1.59375],
[1.35080645, 1.921875],
[1.375, 2.18229167],
[1.68548387, 1.9375],
[1.60887097, 2.55208333],
[1.68548387, 2.69791667],
[1.76209677, 2.56770833],
[1.83064516, 1.97395833],
[1.89516129, 2.75],
[1.9516129, 2.84895833],
[2.01209677, 2.76041667],
[1.99193548, 1.99479167],
[2.11290323, 2.63020833],
[2.2016129, 2.734375],
[2.25403226, 2.60416667],
[2.14919355, 1.953125],
[2.30645161, 2.36979167],
[2.39112903, 2.36979167],
[2.41532258, 2.1875],
[2.1733871, 1.703125],
[2.07782258, 1.16666667]])
(r0, c0, r1, c1) = (1.0, 1.5, 2.1, 2.5)
poly = Path(np.vstack((hand[:, 1], hand[:, 0])).T, closed=True)
clip_rect = transforms.Bbox([[r0, c0], [r1, c1]])
poly_clipped = poly.clip_to_bbox(clip_rect).to_polygons()[0]
assert np.all(poly_clipped[-2] != poly_clipped[-1])
assert np.all(poly_clipped[-1] == poly_clipped[0])
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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