/usr/share/pyshared/matplotlib/tests/test_contour.py is in python-matplotlib 1.3.1-1ubuntu5.
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from matplotlib.testing.decorators import cleanup, image_comparison
from matplotlib import pyplot as plt
import re
@cleanup
def test_contour_shape_1d_valid():
x = np.arange(10)
y = np.arange(9)
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
ax.contour(x, y, z)
@cleanup
def test_contour_shape_2d_valid():
x = np.arange(10)
y = np.arange(9)
xg, yg = np.meshgrid(x, y)
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
ax.contour(xg, yg, z)
@cleanup
def test_contour_shape_mismatch_1():
x = np.arange(9)
y = np.arange(9)
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(x, y, z)
except TypeError as exc:
assert exc.args[0] == 'Length of x must be number of columns in z.'
@cleanup
def test_contour_shape_mismatch_2():
x = np.arange(10)
y = np.arange(10)
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(x, y, z)
except TypeError as exc:
assert exc.args[0] == 'Length of y must be number of rows in z.'
@cleanup
def test_contour_shape_mismatch_3():
x = np.arange(10)
y = np.arange(10)
xg, yg = np.meshgrid(x, y)
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(xg, y, z)
except TypeError as exc:
assert exc.args[0] == 'Number of dimensions of x and y should match.'
try:
ax.contour(x, yg, z)
except TypeError as exc:
assert exc.args[0] == 'Number of dimensions of x and y should match.'
@cleanup
def test_contour_shape_mismatch_4():
g = np.random.random((9, 10))
b = np.random.random((9, 9))
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(b, g, z)
except TypeError as exc:
print exc.args[0]
assert re.match(
r'Shape of x does not match that of z: ' +
r'found \(9L?, 9L?\) instead of \(9L?, 10L?\)\.',
exc.args[0]) is not None
try:
ax.contour(g, b, z)
except TypeError as exc:
assert re.match(
r'Shape of y does not match that of z: ' +
r'found \(9L?, 9L?\) instead of \(9L?, 10L?\)\.',
exc.args[0]) is not None
@cleanup
def test_contour_shape_invalid_1():
x = np.random.random((3, 3, 3))
y = np.random.random((3, 3, 3))
z = np.random.random((9, 10))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(x, y, z)
except TypeError as exc:
assert exc.args[0] == 'Inputs x and y must be 1D or 2D.'
@cleanup
def test_contour_shape_invalid_2():
x = np.random.random((3, 3, 3))
y = np.random.random((3, 3, 3))
z = np.random.random((3, 3, 3))
fig = plt.figure()
ax = fig.add_subplot(111)
try:
ax.contour(x, y, z)
except TypeError as exc:
assert exc.args[0] == 'Input z must be a 2D array.'
@image_comparison(baseline_images=['contour_manual_labels'])
def test_contour_manual_labels():
x, y = np.meshgrid(np.arange(0, 10), np.arange(0, 10))
z = np.max(np.dstack([abs(x), abs(y)]), 2)
plt.figure(figsize=(6, 2))
cs = plt.contour(x,y,z)
pts = np.array([(1.5, 3.0), (1.5, 4.4), (1.5, 6.0)])
plt.clabel(cs, manual=pts)
@image_comparison(baseline_images=['contour_manual_colors_and_levels'],
extensions=['png'], remove_text=True)
def test_given_colors_levels_and_extends():
_, axes = plt.subplots(2, 4)
data = np.arange(12).reshape(3, 4)
colors = ['red', 'yellow', 'pink', 'blue', 'black']
levels = [2, 4, 8, 10]
for i, ax in enumerate(axes.flatten()):
plt.sca(ax)
filled = i % 2 == 0.
extend = ['neither', 'min', 'max', 'both'][i // 2]
if filled:
last_color = -1 if extend in ['min', 'max'] else None
plt.contourf(data, colors=colors[:last_color], levels=levels, extend=extend)
else:
last_level = -1 if extend == 'both' else None
plt.contour(data, colors=colors, levels=levels[:last_level], extend=extend)
plt.colorbar()
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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