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added axes inversion to cla() #5450

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jrmlhermitte wants to merge 6 commits into from
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added axes inversion to cla() #5450

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446f257
added axes reset to normal order (+x up, +y up)
Nov 9, 2015
19ae4a9
changed to use set_xlim instead, also added tests
jrmlhermitte Dec 23, 2015
c4cb779
PEP8 fix and removed two comments
jrmlhermitte Dec 23, 2015
6484d3d
added TypeError exception handling to setting x/ylim
jrmlhermitte Dec 24, 2015
7de798d
PEP8 fixes to test_axes.py
jrmlhermitte Dec 24, 2015
c8571e1
removed a trailing whitespace
jrmlhermitte Dec 25, 2015
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removed a trailing whitespace
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@jrmlhermitte
jrmlhermitte committed Dec 25, 2015
commit c8571e1eed7854d90aec6e11b8b6a5f7b45102b0
12 changes: 7 additions & 5 deletions lib/matplotlib/tests/test_axes.py
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Expand Up @@ -143,28 +143,30 @@ def test_inverted_cla():
# plotting an image, then 1d graph, axis is now down
fig = plt.figure(0)
ax = fig.gca()
# test that a new axis is not inverted per default
# 1. test that a new axis is not inverted per default
assert not(ax.xaxis_inverted())
assert not(ax.yaxis_inverted())
img = np.random.random((100, 100))
ax.imshow(img)
# test that a image axis is inverted
# 2. test that a image axis is inverted
assert not(ax.xaxis_inverted())
assert ax.yaxis_inverted()
# 3. test that clearing and plotting a line, axes are
# not inverted
ax.cla()
x = np.linspace(0, 2*np.pi, 100)
ax.plot(x, np.cos(x))
assert not(ax.xaxis_inverted())
assert not(ax.yaxis_inverted())

# autoscaling should not bring back axes to normal
# 4. autoscaling should not bring back axes to normal
ax.cla()
ax.imshow(img)
plt.autoscale()
assert not(ax.xaxis_inverted())
assert ax.yaxis_inverted()

# two shared axes. Clearing the master axis should bring axes in shared
# 5. two shared axes. Clearing the master axis should bring axes in shared
# axies back to normal
ax0 = plt.subplot(211)
ax1 = plt.subplot(212, sharey=ax0)
Expand All @@ -173,7 +175,7 @@ def test_inverted_cla():
ax0.cla()
assert not(ax1.yaxis_inverted())
ax1.cla()
# clearing the nonmaster should not touch limits
# 6. clearing the nonmaster should not touch limits
ax0.imshow(img)
ax1.plot(x, np.cos(x))
ax1.cla()
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