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image_comparison decorator refactor #7097

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Merged
merged 7 commits into from
Sep 20, 2016
Merged

image_comparison decorator refactor #7097

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55f170c
Fixed `knownfailureif('indeterminate')` for pytest
Kojoley Sep 12, 2016
626398d
Fixed figures/baselines count mismatch
Kojoley Sep 12, 2016
70f54a8
pytest: Do not print traceback on PEP8 test fail
Kojoley Sep 12, 2016
e8ef748
Removed unused `nose` import in `switch_backend`
Kojoley Sep 12, 2016
3f3991a
Refactored `image_comparison` decorator
Kojoley Sep 12, 2016
1ad3408
TST: fix scatter test
tacaswell Sep 14, 2016
909194b
TST: Regenerated scatter tests images
Kojoley Sep 16, 2016
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Fixed figures/baselines count mismatch
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@Kojoley
Kojoley committed Sep 16, 2016
commit 626398dfb28354e9b84dcb38f42292d4a87d14fb
3 changes: 2 additions & 1 deletion lib/matplotlib/tests/test_agg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
from matplotlib.image import imread
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.testing import skip
from matplotlib.testing.decorators import (
cleanup, image_comparison, knownfailureif)
from matplotlib import pyplot as plt
Expand Down Expand Up @@ -251,7 +252,7 @@ def process_image(self, padded_src, dpi):
return t2

if V(np.__version__) < V('1.7.0'):
return
skip('Disabled on Numpy < 1.7.0')

fig = plt.figure()
ax = fig.add_subplot(111)
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6 changes: 3 additions & 3 deletions lib/matplotlib/tests/test_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1266,7 +1266,7 @@ def test_hist2d_transpose():
ax.hist2d(x, y, bins=10)


@image_comparison(baseline_images=['scatter', 'scatter'])
@image_comparison(baseline_images=['scatter'])
def test_scatter_plot():
ax = plt.axes()
data = {"x": [3, 4, 2, 6], "y": [2, 5, 2, 3], "c": ['r', 'y', 'b', 'lime'],
Expand Down Expand Up @@ -1375,8 +1375,8 @@ def _as_mpl_axes(self):
@image_comparison(baseline_images=['log_scales'])
def test_log_scales():
fig = plt.figure()
ax = plt.gca()
plt.plot(np.log(np.linspace(0.1, 100)))
ax = fig.add_subplot(1, 1, 1)
ax.plot(np.log(np.linspace(0.1, 100)))
ax.set_yscale('log', basey=5.5)
ax.invert_yaxis()
ax.set_xscale('log', basex=9.0)
Expand Down