def test_imshow_norm():
import matplotlib.pyplot as plt
image = np.random.randn(10, 10)
plt.clf()
ax = plt.subplot(label='test_imshow_norm')
imshow_norm(image, ax=ax)
with pytest.raises(ValueError):
# X and data are the same, can't give both
imshow_norm(image, X=image, ax=ax)
with pytest.raises(ValueError):
# illegal to manually pass in normalization since that defeats the point
imshow_norm(image, ax=ax, norm=ImageNormalize())
plt.clf()
imshow_norm(image, ax=ax, vmin=0, vmax=1)
# make sure the pyplot version works
plt.clf()
imres, norm = imshow_norm(image, ax=None)
assert isinstance(norm, ImageNormalize)
plt.close('all')
def test_imshow_norm():
image = np.random.randn(10, 10)
ax = plt.subplot(label='test_imshow_norm')
imshow_norm(image, ax=ax)
with pytest.raises(ValueError):
# X and data are the same, can't give both
imshow_norm(image, X=image, ax=ax)
with pytest.raises(ValueError):
# illegal to manually pass in normalization since that defeats the point
imshow_norm(image, ax=ax, norm=ImageNormalize())
imshow_norm(image, ax=ax, vmin=0, vmax=1)
# Note that the following is deprecated in Matplotlib 3.2
if MATPLOTLIB_LT_32:
# vmin/vmax "shadow" the MPL versions, so imshow_only_kwargs allows direct-setting
imshow_norm(image, ax=ax, imshow_only_kwargs=dict(vmin=0, vmax=1))
# but it should fail for an argument that is not in ImageNormalize
with pytest.raises(ValueError):
imshow_norm(image, ax=ax, imshow_only_kwargs=dict(cmap='jet'))
# make sure the pyplot version works
imres, norm = imshow_norm(image, ax=None)
assert isinstance(norm, ImageNormalize)
plt.close('all')
def test_imshow_norm():
image = np.random.randn(10, 10)
ax = plt.subplot()
imshow_norm(image, ax=ax)
with pytest.raises(ValueError):
# X and data are the same, can't give both
imshow_norm(image, X=image, ax=ax)
with pytest.raises(ValueError):
# illegal to manually pass in normalization since that defeats the point
imshow_norm(image, ax=ax, norm=ImageNormalize())
imshow_norm(image, ax=ax, vmin=0, vmax=1)
# vmin/vmax "shadow" the MPL versions, so imshow_only_kwargs allows direct-setting
imshow_norm(image, ax=ax, imshow_only_kwargs=dict(vmin=0, vmax=1))
# but it should fail for an argument that is not in ImageNormalize
with pytest.raises(ValueError):
imshow_norm(image, ax=ax, imshow_only_kwargs=dict(cmap='jet'))
# make sure the pyplot version works
imres, norm = imshow_norm(image, ax=None)
assert isinstance(norm, ImageNormalize)