/usr/lib/python2.7/dist-packages/matplotlib/tests/test_path.py is in python-matplotlib 2.0.0+dfsg1-2.
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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 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import copy
import six
import numpy as np
from numpy.testing import assert_array_equal
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)]
ret = path.contains_points(points)
assert ret.dtype == 'bool'
assert np.all(ret == [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 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():
np.random.seed(0)
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])
def test_path_to_polygons():
data = [[10, 10], [20, 20]]
p = Path(data)
assert_array_equal(p.to_polygons(width=40, height=40), [])
assert_array_equal(p.to_polygons(width=40, height=40, closed_only=False),
[data])
assert_array_equal(p.to_polygons(), [])
assert_array_equal(p.to_polygons(closed_only=False), [data])
data = [[10, 10], [20, 20], [30, 30]]
closed_data = [[10, 10], [20, 20], [30, 30], [10, 10]]
p = Path(data)
assert_array_equal(p.to_polygons(width=40, height=40), [closed_data])
assert_array_equal(p.to_polygons(width=40, height=40, closed_only=False),
[data])
assert_array_equal(p.to_polygons(), [closed_data])
assert_array_equal(p.to_polygons(closed_only=False), [data])
def test_path_deepcopy():
# Should not raise any error
verts = [[0, 0], [1, 1]]
codes = [Path.MOVETO, Path.LINETO]
path1 = Path(verts)
path2 = Path(verts, codes)
copy.deepcopy(path1)
copy.deepcopy(path2)
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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