def test_logscale_transform_repr():
# check that repr of log transform succeeds
fig, ax = plt.subplots()
ax.set_yscale('log')
s = repr(ax.transData)
# check that repr of log transform succeeds
s = repr(Log10Transform(nonpos='clip'))
def test_logscale_invert_transform():
fig, ax = plt.subplots()
ax.set_yscale('log')
# get transformation from data to axes
tform = (ax.transAxes + ax.transData.inverted()).inverted()
# direct test of log transform inversion
assert isinstance(Log10Transform().inverted(), InvertedLog10Transform)
def test_logscale_transform_repr():
fig, ax = plt.subplots()
ax.set_yscale('log')
repr(ax.transData) # check that repr of log transform succeeds
# check that repr of log transform succeeds
with pytest.warns(MatplotlibDeprecationWarning):
repr(Log10Transform(nonpos='clip'))
def test_logscale_transform_repr():
# check that repr of log transform succeeds
fig, ax = plt.subplots()
ax.set_yscale('log')
s = repr(ax.transData)
# check that repr of log transform returns correct string
s = repr(Log10Transform(nonpos='clip'))
assert s == "Log10Transform({!r})".format('clip')
