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from __future__ import division, print_function, absolute_import
import pytest
from numpy.testing import assert_, assert_array_equal
from scipy._lib._numpy_compat import suppress_warnings
try:
import matplotlib
matplotlib.rcParams['backend'] = 'Agg'
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import MatplotlibDeprecationWarning
has_matplotlib = True
except:
has_matplotlib = False
from scipy.spatial import \
delaunay_plot_2d, voronoi_plot_2d, convex_hull_plot_2d, \
Delaunay, Voronoi, ConvexHull
@pytest.mark.skipif(not has_matplotlib, reason="Matplotlib not available")
class TestPlotting:
points = [(0,0), (0,1), (1,0), (1,1)]
def test_delaunay(self):
# Smoke test
fig = plt.figure()
obj = Delaunay(self.points)
s_before = obj.simplices.copy()
with suppress_warnings as sup:
# filter can be removed when matplotlib 1.x is dropped
sup.filter(message="The ishold function was deprecated in version")
r = delaunay_plot_2d(obj, ax=fig.gca())
assert_array_equal(obj.simplices, s_before) # shouldn't modify
assert_(r is fig)
delaunay_plot_2d(obj, ax=fig.gca())
def test_voronoi(self):
# Smoke test
fig = plt.figure()
obj = Voronoi(self.points)
with suppress_warnings as sup:
# filter can be removed when matplotlib 1.x is dropped
sup.filter(message="The ishold function was deprecated in version")
r = voronoi_plot_2d(obj, ax=fig.gca())
assert_(r is fig)
voronoi_plot_2d(obj)
voronoi_plot_2d(obj, show_vertices=False)
def test_convex_hull(self):
# Smoke test
fig = plt.figure()
tri = ConvexHull(self.points)
with suppress_warnings as sup:
# filter can be removed when matplotlib 1.x is dropped
sup.filter(message="The ishold function was deprecated in version")
r = convex_hull_plot_2d(tri, ax=fig.gca())
assert_(r is fig)
convex_hull_plot_2d(tri)
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